E20-375 exam Dumps Source : RecoverPoint Specialist Exam for Implementation Engineers
Test Code : E20-375
Test denomination : RecoverPoint Specialist Exam for Implementation Engineers
Vendor denomination : EMC
practice test : 200 real Questions
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ARRL has announced profession opportunities for a company services supervisor and a Senior Lab Engineer — EMC/RFI specialist at Headquarters in Newington, Connecticut.
The business functions supervisor studies to the manager fiscal Officer and is responsible for the advertising and marketing and sale options of print and digital promoting together with wholesale publication revenues. responsibilities consist of relationship administration with each and every shoppers, sales evaluation — including inside and market tendencies and management capabilities comparable to forecasting, funds coaching — and carcass of workers management.
Candidates may still dangle a bachelor’s degree and occupy 3 or greater years of in-depth business- and job-specific and supervisory event. candidates may still possess surprising interpersonal talents, robust written and oral communique abilities, a exorbitant degree of income and advertising abilities in print and digital media, and extensive expertise of novice Radio.
The Senior Lab Engineer — EMC/RFI specialist studies to the Lab supervisor, and plans and performs a wide array of technical tasks in aid of ARRL ambitions with admire to electromagnetic compatibility (EMC) and radio frequency interference (RFI) in the newbie Radio provider.
The Senior Lab Engineer — EMC/RFI expert ought to dangle an newbie Radio license. This individual will work with ARRL contributors and others within the dabbler Radio neighborhood to gain to the bottom of EMC/RFI problems, and will maintain a database of member contact related to specific EMC/RFI situations. The Senior Lab Engineer — EMC/RFI specialist will work with Federal Communications commission (FCC) carcass of workers and with industry and requisites evolution agencies in the course of resolving and combating EMC/RFI complications.
The Senior Lab Engineer — EMC/RFI expert furthermore will determine devices with massive RFI expertise, examine the gadgets, and draft distinctive reviews on their efficiency. The particular person in this position furthermore will create and retain ARRL publications related to EMC/RFI and administer ARRL Laboratory facilities and actions. Some commute may be required to portray ARRL at conventions and technical symposia.
The applicant may still grasp a bachelor’s degree in electronics or occupy three – 5 years of in-depth industry- and job-certain adventure. surest candidates could occupy journey within the EMC/RFI province with an emphasis on newbie Radio, familiarity with beginner Radio functions of electronics and radio know-how, satisfactory technical creativity to help technical courses and activities in aid of commonly defined pursuits, capability to give technical course to others, and the means to diplomatically and without problems communicate, both orally and in writing.
For a detailed description of the job requirements for both position, argue with the ARRL Employment opportunities page.
these days Dell EMC has announced the addition of endemic asynchronous replication in XIOS 6.1 for XtremIO all-flash storage arrays. until now, replication for XtremIO has been handled through software materiel relish Dell EMC RecoverPoint for photograph-primarily based replication or site healing manager for VMware shops. There're also the alternatives of pairing XtremIO and Dell EMC VPLEX for numerous replication use cases. while these alternatives resolve the hardship for many purchasers, they can additionally insert improved complexity and value, reckoning on the hardware in the ambiance. As such, a endemic metadata-conscious replication solution for XtremIO has at each and every times been on the radar and is the no 1 duty XtremIO consumers occupy been inquiring for.
Most understand this already, but let's rob just a brief witness on the two styles of replication. Asynchronous replication allows for replication over a long distance (100s of miles or more) whereas preserving a elegant write-constant reproduction of information between the endemic and faraway web page(s) continually. With synchronous replication, the space between sites must be much nearer, customarily said when it comes to a metro enviornment (~30-50 miles). every now and then, some customers even replicate within a sole information middle, counting on statistics wants and regulatory necessities. in spite of everything, a number initiates a write to an array on the main website whereas at the equal time facts is written to the replication goal. records must be efficiently saved in each endemic and remote websites before an acknowledgement is shipped returned to the host. Synchronous replication introduces additional latency due to this fact, which is why being physically near to the replication goal is critical. while some industries require synchronous replication, the noteworthy majority find asynchronous replication suited for their enterprise necessities.
With XIOS 6.1, WAN optimization is a key emphasis and XtremIO is well-appropriate to aid execute on this purpose. it be vital to be alert that XtremIO does its information compression and deduplication inline, and the arrays depend on metadata tables for pointers as to the region to learn a duplicated block. This efficiency lends itself well for replication for a number of factors. First, handiest exciting records is distributed to the far flung web site; blocks that exist already on the goal certainly not coast over the community. second, handiest compressed facts is shipped to the far off site. These factors provide XtremIO a big optimization competencies that helps to ensure recuperation dreams are met. The replication load on the device is minimal, so there's under no circumstances a necessity to disable replication or be concerned about a efficiency hit to the different endemic information functions. whereas other aggressive arrays present replication, Dell EMC argues that XtremIO is arguably one of the crucial most desirable as a result of the inherent architecture design.
the region the replication can gain even more enjoyable from an efficiency point of view is in multi-website, fan-in configs. So in preference to being a one-to-one ratio of main-to-remote websites, an organization could occupy a number of XtremIO arrays replicating to a sole target. as a result of world dedupe is in play, Dell EMC anticipates an extra 38% skill discount rates (four:1 fan-in setup) for the replication goal array. once more, there are large WAN satisfactory points as smartly because of the reduced movement of facts over the textile.
With the numerous replication use cases, XtremIO is designed round being totally configurable in terms of how the ports are assigned for endemic storage access versus committed links for replication. in this setup, the unit has 2 SFP+ 10G connectors in addition to one 10Gbase-T connection per controller allocated for replication, with two ports per controller configured for FC access.
apart from the replication news, Dell EMC additionally has launched the XtremIO X2-T. The X2-T offers each and every of the aspects and statistics functions of the XtremIO family in a lessen-cost configuration designed for the midrange. X2-T is available in a sole X-Brick configuration that scales from 34.5TB uncooked as much as 69.1TB uncooked or 369TB constructive faculty given a 6:1 storage efficiency. X2-T is accessible can furthermore 3rd.
elements don't signify a lot in the event that they're cumbersome or confusing to build in force. Dell EMC has spent a superb deal of time ensuring that replication configuration is elementary. The gross procedure is wizard-driven, making setup of replication and retention policies brief and intuitive. A wizard inside the information insurance arrangement menu courses the administrator throughout the technique, which is convenient to use and intuitive for beginner to skilled users. Of path, CLI is accessible for advanced users, however there is satisfactory require for both CLI and the HTML interface.
the first step just before making a protection session is creating a consistency community according to the volumes you intend on retaining. This will furthermore be performed with clicking the "New" button and coming into in a consistency community identify.
next you opt for the volumes you want to be inside of it. Volumes will furthermore be manually selected from the complete list or narrowed down through a key phrase search. This process is standard, yet critical to ensure parity between the leading array and replication target via ensuring a suitable at each sites, putting off consumer error. When comprehensive click "apply."
With the consistency group in place, you movement into the information protection menu. here is the region which you can view latest protected Entities and gain excessive-level information of each and every at a short look.
To create a brand unique insurance arrangement Session, you nascence with selecting the consistency community to your volumes. during this case, they use their in the past created Linux-Prod-01 group with eight volumes. in the identical monitor that you would be able to furthermore select if this should be a faraway or endemic coverage type.
As a far flung coverage type, the subsequent disclose is the region you opt for the target cluster.
In here menu, the XtremIO will both immediately create a consistency community on the goal cluster of the identical identify you created in the neighborhood, or permit administrators to create one manually. goal-quantity access restrictions are furthermore set at this stage.
subsequent, directors are able to set the RPO (which can be adjusted anywhere from 30 seconds to 1 day, as neatly because the source retention coverage. These are extremely customizable and might be tuned for the accurate software operating on the storage neighborhood being blanketed, accounting for features relish trade fee and WAN affect/charges. The RPO may still be monitored for compliance, because the charge of statistics change and bandwidth of the connection between the two programs will impose how quickly records may furthermore be replicated to a undeniable extent.
finally, the target retention policy is chosen, which can furthermore be duplicated from the source array, or may furthermore be custom-made one after the other for the goal system (counting on the use case). This enables for multiple copies at either region according to scheduling it truly is stylish on a company's photo necessities, i.e., how a gross lot insurance policy they want at intervals relish minute, hour, day, week and the like.
The e-book completes with a abstract window showing the chosen alternate options, with an alternative to finish, or finish and open the coverage coverage immediately.
After the records protection policy is build into place, which you can view its matching guidance, such as the volumes under, and open to populate on the target array.
With the brand unique information insurance arrangement Session in location, the equal interface window allows for administrators to delivery and preclude insurance policy services counting on the situations. This will furthermore be effective if a policy is working tons longer than usual, of if something needs to be replicated outside of the window unique.
After the facts insurance arrangement is in area, the XtremIO interface gives administrators visibility into the daily suggestions. At a brief witness that you can view the bandwidth on the connection, how an abominable lot information has traversed between the devices, the RPO compliance as well as many different high-level stats. included classes no longer meeting their SLA requirements are automatically familiar, while these working as intended merge away into the heritage.
inner reporting throughout the XtremIO array is very effective when monitoring statistics coverage in terms of the saturation degrees of your outbound hyperlinks, as well as knowing how tons headroom is left based on spikes in bandwidth each and every through the day or week. below they perceive the goal array and the bandwidth used for far flung coverage.
With data protection sessions in region, directors are additionally able to nascence a failover procedure manually, leveraging both the endemic device, or failing over to the remote materiel wholly.
Of direction, the headline with this XtremIO replace is endemic replication, but let's now not witness previous the XtremIO X2-T as neatly. This unique sole X-Brick scales from 34.5TB uncooked up to sixty nine.1TB raw or 369TB advantageous capability given a 6:1 storage effectivity. The X2-T gives Dell EMC a brand unique instrument to convey XtremIO's energy and profound feature set to midmarket and smaller far flung operations. additionally, within the context of the replication news, the X2-T presents some valued clientele a lessen saturate altenative as a replication goal for these no longer pushing the potential of their XtremIO boxes as in whatever thing relish VDI the region the inline facts discount functions are in a position to be extremely effective.
Digging into the endemic asynchronous replication principally, XtremIO became naturally developed for this position. Their emphasis on metadata because the authority for statistics residence makes XtremIO an awesome platform when for the intuition that replication efficiency. because the entire facts on the host materiel is compressed, deduped and in comparison to commonplace records inline, XtremIO writes only occur for unique blocks, the region present blocks gain a pointer update in the metadata. This effectivity extends to the replication site now as smartly with XIOS 6.1, as most effective unique data is passed over the WAN. These network weight merits gain prolonged additional in a fan-in scenario where up to four XtremIO arrays replicate to a sole goal.
These efficiencies signify little, besides the fact that children, if replication is tricky to deploy and exploit or if the results are unreliable. Above they walked during the very essential wizard-pushed mode for configuring consistency corporations and facts insurance policy policies. while each and every of this is accessible by the use of CLI as smartly, XIOS 6.1 makes the manner effortless satisfactory that non-storage experts should still be able to handle the task readily. The constructed-in checks and failover checking out are accessed with drop downs and menus which are intuitive and Make confident policies are properly configured. there is furthermore a simple-to-understand dashboard that confirms (or no longer) that your RPO aims are being met with a detailed view of your SLAs and different principal information.
We didn't finished a profound dive of efficiency as fragment of this review, though they did occupy several workloads operating towards the X-Bricks below verify during the duration of their replication configuration. this is now not absolutely scientific, but with a pair of replication jobs installation and running, they didn't perceive any valuable performance drop as those jobs kicked off and completed in perpetuity inside their 30-2nd home windows. here is attributed again to the effectivity of the artery XtremIO became designed from day one. however replication wasn't latest then, the XtremIO team had a imaginative and prescient for the region they wanted to be and with XIOS 6.1, they're one more massive step along the direction. As replication become essentially the most requested characteristic with the aid of XtremIO clients, there may be more likely to be a petite extra buzz around Dell technologies World this week as XtremIO customers anticipate what they may be able to execute once the XIOS replace hits their packing containers. XIOS 6.1 with replication is purchasable now as a free update to XtremIO X2 shoppers.
Dell EMC XtremIO
focus on this overview
a few colleagues of mine wrote a doc on reside Workload Mobility and disaster restoration for Tier-1 purposes. I suppose you should test it out and here’s a pair of key aspects that I necessity to spotlight:
Key factor 1:
The white paper showcases a Cisco, EMC, VMware cloud-ready infrastructure with the newest information hub Interconnect – DCI – applied sciences relish OTV and LISP for statistics facilities physically observed in different locations. suffer in mind, OTV effectively and safely networks the data facilities collectively while guaranteeing a failure in data core 1 does not occupy an consequence on records middle 2, called frailty locality isolation. additionally, LISP ensures that far off users occupy the optimized direction to the actual vicinity of the workload (virtualized application), in whatever facts middle it resides.
Key factor 2:
The pleasing component with this white paper is that both are animated Workload Mobility and catastrophe healing use situations are enabled on the identical actual infrastructure. So, when talking about their cloud-capable infrastructure with Cisco, EMC and VMware enabling Workload Mobility & disaster recuperation, that capacity we're using:
expertise and answer Breakdown:
The are animated Workload Mobility use case and the catastrophe recuperation use case each require different applied sciences as illustrated within the desk. right here’s why:
1) VMware’s VMotion and VMware’s SRM occupy different VMware vCenter requirements.
2) VMware’s SRM supports EMC RecoverPoint
To gain each vMotion and SRM to work on the identical physical infrastructure, they described the set of servers and functions as both fragment of the live Workload Mobility use case or the disaster recuperation use case in boost when orchestrating the carrier. The white paper indicates that the live Workload Mobility use case is enabled for VMs in VMware ESX cluster “A” and the catastrophe recuperation use case is enabled for VMs in VMware ESX clusters “B” and “C” with SRM offering the application and automation for carrier restoration between the two clusters (B & C).
Key point 3:
The last key component and keen aspect of this white paper is the focus on Tier 1 virtualized applications;
Microsoft Sharepoint is a 3-tier deployment with a entrance-end net server, Sharepoint utility server, and an SQL DB. The Oracle 11g DB is a stand-alone DB presenting OLTP classes. in the white paper, you’ll perceive some verify consequences skilled when running via this structure.
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Simulation and analysis (S&A) are not known for its simplicity. It has traditionally been the domain of experts. The problems they encounter are theoretically complex, and the software used reflects this complexity.
Nevertheless, S&A has become a key locality of product development. This raises questions like: How can it be made easier? How can they spread the use of these tools to a wider fragment of the product design community? And, can simulation process and data management (SPDM) aid to democratize S&A?
A broader user base. Commercial SPDM solutions are only in use by less than five percent of simulation specialist engineers in mainstream companies. But with easy-to-use apps that contain, among other things, embedded simulation expertise, there is pledge of a feasible broadening of the user base.
Let us witness at simulation with a focus on SPDM. The adoption of SPDM within mainstream product evolution has, according to CIMdata, “been extremely disappointing from a business repercussion perspective.”
According to the analyst, fewer than five percent of each and every simulation specialists worldwide use some shape of commercial simulation data management technology to manage and archive their simulation models and to collaborate with other simulation specialists and design disciplines within their organizations. With this in mind, a broader use of simulation tools and results can become powerful support for valuable advances in the utilization of modern product evolution technology
Although there are exceptions, simulation software is generally not smooth to use, share, or, for that matter, even understand for some members of product evolution teams. At the identical time, the capabilities of the software and the results are necessary to understand the physical conduct of designs and to validate their functionality, strength, motion in a flow, etc., as well as meet regulatory requirements. This does not signify that they’re not useful for less intricate simulations. But in general, their overall consequence has been bottlenecks in the product design process, making for a longer time to market, and a longer wait before revenues start rolling in.
Can the tools and processes become more useful not only for the analysts, but also in the broader "designer collective" in this evolution chain's increasingly valuable link?Process Templates Are Not the Answer
Gartner Group's PLM analyst and vice president, Marc Halpern, was one of the first employees of the now market-leading CAE software developer ANSYS.
Gartner's PLM analyst and vice president, Marc Halpern, has a solid background in simulation and analysis. He was one of the earliest employees in ANSYS, the leading simulation software vendor. There is of course more than one solution to the democratization of simulation software, he notes, but an keen aspect that is sometimes heard in the discussions is: "Democratize CAE with SPDM (simulationprocess and data management)." But can SPDM really democratize CAE? Both yes and no, says Halpern:
“I occupy always understood SPDM as a artery to manage models and results. A sole CAD model can be used to create many different models to fulfill many different simulations. Although simulation models and data are managed perfectly, this in and of itself does not signify that CAE becomes more democratic. Not even the ‘process templates’ can solve the basic problem,” Halpern claims, pointing to things relish universal assurance in the results.
“Does the model used match reality so that the results become useful? Another valuable point is about the interpretation of the results, which can be a problem.”
On the other hand, Halpern says that there are promising examples of embedded expert lore and methods in SPDM solutions, pointing at (Aras-owned) Comet’s SimApps. “I believe this is what differentiates what Aras is selling from what I typically perceive from SPDM technology,” he said.
Though the concept of simulation with satisfactory SPDM has been recognized as having a lot of potential, the adoption of SPDM solutions has been an “extreme disappointment", as CIMdata formulates it.
The emergence of simulation as a key technology can be seen in reduced use of physical prototypes. Simulation and analysis tools can replace a physical prototype with its digital version. Products that only exist virtually must be tested and validated before they are produced. Not only that, in the era of mass individualization, a large number of variations can bear families of products or parts, and they each and every occupy to work.
With a connected product (IoT), the operation of a product will furthermore generate usage data and information about the part’s environment and operating conditions.ERP is Immediate ROI, SPDM is Long-Term
As a result of these trends and unique technologies, the number of simulations has increased dramatically in the last decade, reflected in the growth of investments in simulation and analysis tools.
According to CIMdata, this growth has made simulation the “star” of the PLM industry, with annual growth rates of around 10 percent over each of the past five years. They occupy thus furthermore achieved an middling growth substantially higher than other PLM investments (CAx, ALM, cPDm etc.) during the identical period.
In 2017, investments into simulation software and service investments were worth $5.5 billion, making up 13 percent of the total of the PLM investments.
So, how has this fertile climate affected the growth of SPDM? While CIMdata states "the end-user's interest in SPDM has increased significantly over the past decade," increased interest has not caused increased implementation. CIMdata voices "an extreme disappointment" over the leisurely industrial uptake of SPDM, at least outside the major automotive and aerospace industry’s OEM companies.
But Halpern is not surprised. “There are satisfactory reasons for this [slow uptake]. In stark contrast to ERP investments—which provide immediate cost-saving effects that are directly reflected in the shape of profits and rising share prices—SPDM investments are more likely to provide long-term positive effects, which are more difficult to detect immediately. SPDM can Make engineers more productive in a artery that, from management's point of view, does not occupy the short-term, immediate benefits that ERP provides,” explains the Gartner analyst. Since so few senior executives understand SPDM, they can’t really support it. SPDM is not like product design, sourcing and manufacturing operations, where what can coast wrong can be quite obvious, intuition delays in the delivery of the product, and move the company’s bottom line.
They know that construction and technology are important, Halpern adds, but the "pain points" and the consequences of design engineering are often "too far over the horizon” for executives.
“Therefore, most of the support for SPDM ventures generally comes from engineering teams, and the simulation teams in particular. It doesn’t aid that SPDM is difficult to implement—as difficult, if not more, than PDM. each and every in all, this is the intuition I can perceive behind the leisurely growth in SPDM.”
Again, the situation is not encouraging.
"The real adoption rate within mainstream product evolution activities has been extremely disappointing from a business repercussion perspective... Unfortunately, the most common shape of SPDM in exercise today is still the use of personal difficult disk storage on the simulation engineer’s desktop or perhaps a shared drive used in common with other members of their immediate organization. Naming and versioning of simulation models and results is haphazard at best and totally discordant in the worst cases. This makes the traceability and pedigree of simulation models and results extremely difficult, if not impossible, to accomplish and can lead to a lack of assurance in the accuracy of the simulation results versus physical test data," CIMdata writes in the 2018 release of its Simulation & Analysis Market Analysis Report.
Nevertheless, thereare some positive signs which point to a possibly larger utilization.
“The real value of SPDM from a democratization perspective is that, after all, there are tools that enable experts to package the lore that can be linked to a design model in a artery that makes it feasible for many designers without advanced simulation lore to rob fragment of, and even do, simulations,” says Halpern.Turning Months into Days
One company that has SPDM platforms to its odds is Boeing. By tying together simulation and process data, Boeing manages to abbreviate some evolution processes substantially.
This goes well in line with other cases where evolution processes occupy been shortened from months to days. In extreme cases—when the revise knowledge, interpretation and the revise simulation results are each and every embedded in the design model—the evolution process can be shortened to hours.
This proves SPDM solutions can be a key to success when the use of simulation tools is constantly growing—with the caveat that they are not only used in “normal" design processes, but furthermore in later phases: during the product realization process, as well as when products are in use.
More and more PLM vendors are furthermore starting to witness at packaging and developing solutions that Make simulation more accessible to multiple stakeholders in product development teams. It’s common lore that there is a gap and that the require for bridging the gap is on the rise. Sweden-based multiphysics software vendor, COMSOL (with the Application Builder), was early to present solutions for this, but furthermore the simulation giant ANSYS, MSC and the three PLM majors (Siemens PLM, Dassault and PTC) are now working on broadening their respective platforms’ functionalities related to SPDM. The PLM rocket, Aras, closed the gap between simulation and developmentwhen it acquired Comet Solutions at the sojourn of September 2018.
“Much remains to be gained if they can near the gap between simulation and mainstream design by giving simulation analysts the break to repeat and reuse simulations while connecting the analysis to product configuration and multidisciplinary design through attribute of life,” says Marc Lind, senior vice president of Strategy at Aras.
SPDM challenges. The adoption of SPDM solutions is far from a question of technology only. People, processes and company culture, as well as governance play significant roles.SPDM to Understand Product Realization Process
As for the commercial SPDM solutions, CIMdata points at a problem in this context: they occupy been developed specifically for 3D modeling and simulation (such as finite component analysis and computational fluid dynamics). This means that they often lack effective support for models and information created in 0D/1D systems modeling, which is critical when implementing an MBSE (Model-Based Systems Engineering) approach.
However, the major solution providers are now recognizing this necessity and the analyst expects to perceive significant progress in this locality over the next several years.
But the low mainstream adoption rate is far from a question of technology alone. People, processes and company culture, as well as governance, play significant roles:
However, software vendors are still in the early days in developing SPDM solutions that are both robust and smooth to use.
Most analysts alsoagreethat the exponential growth of CAE and the explosion of simulation-related data appearing from increasing digitization, unique technologies and disruptive product realization methods requires more competent management systems.
“Without satisfactory SPDM tools, it will be difficult to effectively understand this fragment of the product realization process,” says Marc Halpern.
Simulation is an essential component throughout this process. Why?
“SPDM platforms will be crucial to realizing the real potential of PLM, digital threads and digital twins, and enable collaborations with other corporate platforms, such as ERP, MES and MRO to realize Industry 4.0 concepts in the next step,” Halpern adds.
CIMdata agrees in its 2018 report: "Companies necessity to be better at managing simulation models, results and related design information, improving collaboration and reusing and better integrating simulation activities into the PLM environment. Doing this supports a larger audience of product evolution engineers, engineering managers, product managers and others in the extended organization and supply chain who can profit from access to simulation information to Make more informed decisions."Halpern concurs, adding, “But there are furthermore elements in the data management, which I observed in my research on digital twins, which applies to SPDM. I perceive a stalwart connection between the digital twin concept and SPDM.”Embedded Knowledge, Disrupting Institutional Silos
CAE is traditionally one of the more well-preserved siloes in product development. But in recent years, they occupy seen increased communication between the analysis, simulation and the repose of the members of the product evolution team. Also, it is transparent that unique disruptive technology can be a yeast and is able to atomize up isolated data structures.
But there’s more. Can a software developer create solutions that can meet the unique requirements to extend collaboration opportunities, Halpern wonders.
Without uncertainty. Is it feasible to parameterize the thermal analysis of a microprocessor on a circuit board, so that it can be applied to similar configurations and variations without uncertainties about the mesh?
During a NAFEM presentation, the Gartner analyst said that this is an specimen of a capability that one can embed in a model.
“Some call it encapsulation,” Halpern continued. "But whatever you call it, this kindhearted of encapsulated information can free up engineers from having to be full-time analysts. The specialized terminology, conventions, and features of the simulations can sojourn under the hood and the interface made considerably easier to use. A intricate problem can be solved with a handful of parameters. This would provide simulation to not only engineers, but furthermore to others involved in the product and its design.”Aras Takes a Step with Comet Acquisition
Allowing more engineers to fulfill simulation is exactly what the PLM developer Aras was aiming for when it purchased Comet. The acquisition is an valuable step on a roadmap for developing platform-based SPDM to support increased use of simulation for intricate scenarios.
Aras aims to help Innovator’s faculty to handle simulation data. With Comet's technologies, manufacturers and product developers can reuse intricate simulations to scale up or down the application and widen the use of simulation results. One result: it is now feasible to connect simulations and gain access to experts in the province by offering traceability, access and reuse during the product life cycle.
Comet's products are largely based on a succession of customer-developed and web-implementable "SimApps," with built-in expert lore and methods. “These SimApps,” says Aras Marc Lind, “create a simulation-driven design that fits each and every users, from CAE experts to design engineers. "
We await Halpern if this is what he meant by encapsulated knowledge.
“Exactly!” says the Gartner analyst. “This distinguishes what Aras sells from what I usually perceive in terms of SPDM technology.”
He added that Comet's real value in democratizing simulation is its faculty to integrate functionality and lore into CAD models so that the person making the simulation or evaluation necessity not worry about intricate problems and intricate trade-offs to Make the simulations.
“Encapsulated lore takes trust of it."
Web-based Simulation a la Aras. Comet’s SimApps (now fragment of Aras) are web-based simulation programs that are smooth to use, even for salespeople. Product engineers can fulfill intricate simulations safely. These SimApps can answer specific questions about the design of a product in a product family, for example. Comet experts, partners and customers occupy built, tested, and deployed a comprehensive library of SimApps that capture and execute best practices for simulation, automate repetitive and tedious tasks and secure the power of sophisticated CAE analysis in the hands of both experts and non-expert users.Links Between Users and Non-Experts
An valuable point to gain SPDM to work is to apply a "vendor-agnostic" implementation by connecting a wide gain of CAD, FEA, meshing, 0D/1D simulation tools and proprietary applications. It is a requirement for supporting the often heterogeneous software environments found in organizations.
Aras's chief architect, Rob McAveney, argues that wider use of simulation has generally deteriorated as the simulation process and data management tools (SPDM) lack effective links between simulation users and the extended enterprise.
“Expanding the digital thread to comprehend simulation tools and processes has emerged as an valuable factor for future business models,” he says. “Simulation can add significant value to product development, manufacturing and province operations, but has not yet reached its potential due to limited connection to the repose of the company. Through Comet they can capture what is needed to realize the potential: Repeatability, reusability and traceability for simulation across the entire product life cycle”
McAveney sees a market growing exponentially, while progressing as the utilization of physical testing decreases. He furthermore points out that the complexity that comes with smartly connected product design and MBSE are valuable trends that will support the necessity for this kind of platform.
“We perceive simulation in its context, with overall system technology processes together with configuration and change, variants, requirements, validation testing and more. The fact that simulation management is often completely disconnected from mainstream processes is a problem as there is no traceability throughout the product life-cycle loop,” says McAveney.
McAveny points to the weight of developing the "digital thread" and solutions with digital twins for predictive maintenance.
"With Comet technology they near the gap between simulation and mainstream design by giving simulation analysts methods to repeat and reuse simulation, link the analysis to product configuration and design during the product life cycle,” he summarizes.
He furthermore points to Comet's faculty to handle mixed models, different data types and representations of the identical product. The identical applies to assembly, which furthermore needs to be simulated. each and every in all, this offers "an valuable aspect of managing system simulations across several technical disciplines."
The faculty to extract intelligence from simulation models and results, rather than just managing data at file level, is furthermore a grand odds over other SPDM systems on the market.
What the universal setupof ANSYS’s SPDM solution EKM looks like.Others gain into the Act
Aras is not alone. PLM market leaders Siemens and Dassault Systèmes occupy invested heavily to beef up their simulation solutions in recent years. ANSYS, PTC, MSC, and others, are working on their own SPDM solutions.
One of the main reasons for this is the require from customers in industrial segments that are convinced of the power of simulation and SPDM, such as automotive and aerospace."Among those who are early on to pick up SPDM (like BMW), design decisions --or simulations that led to a design determination - must be traceable," says Marc Halpern. “The test data management functions that Aras is developing with BMW will be keen to follow. The combination of SPDM with next generation test data management can lead to exciting insights into system evolution that are designed or evaluated.”
Will an SPDM solution aid them in their efforts? Given the above arguments, it is not unreasonable to await some kindhearted of difference. But, selling this kind platform of is not an smooth task.
In addition, one should suffer in intuition the built-in structural resistance in corporate organizations, where the simulation has always been its own department and the dispute for a well-functioning SPDM encounters is countered with the significant costs of its implementation, especially real at large automotive and aerospace companies.
But for the bottom line, the return on investment of SPDM looks convincing enough. Even “compelling”, asserts CIMdata in its 2018 report.
Finally, Aras this week announced a partnership with Visual Collaboration Technologies (VCollab) for simulation visualization, post processing, and reporting. Aras will use the VCollab technology in SPDM processes across the lifecycle. Worth noting is the fact that VCollab can handle formats from each and every of the grand simulation developers (ANSYS, MSC, etc.), which makes it easier to spread and understand simulation results in broader product realization teams. This is one of the greatest values with SPDM.
Managing power in chips is becoming more difficult across a wide gain of applications and process nodes, forcing chipmakers and systems companies to rethink their power strategies and address problems much earlier than in the past.
While power has long been a major focus in the mobile space, power-related issues now are spreading well beyond phones and laptop computers. There are several reasons for this:
These challenges extend from data centers, where AI, networking, and telecommunications require massive amounts of energy, each and every the artery to the edge. At 7nm, it’s not uncommon for chips to be large, sometimes at reticle size, with hundreds or thousands of processor cores. But unlike in the past, where those processors were mostly black except for required bursts of activity, some of the unique application areas require more of these processing elements to be on more often, if not each and every the time.
And this is where problems such as heat, electromigration, power-related hullabaloo and reliability become particularly difficult to manage.
“CPU Utilization, power management and device reliability must be tightly and accurately thermally managed on die,” said Stephen Crosher, CEO of Moortec. “Otherwise, data hub electricity bills can be millions of dollars higher than necessary each year. Datacenter operators are now seeing the direct correlation between site-running costs and the thermal monitoring and management adopted artery down profound within the system at chip level.”
This is driving unique techniques such as real-time, in-chip thermal guard-banding to enhance the implementation of health monitoring, failure prediction and the design of higher rack density configurations. But in many cases the solutions are just barely keeping pace with the problems. Everyone wants to utilize AI/ML/DL in a chip, whether those chips are used inside data centers or at the edge, but the multiply/accumulate processing consumes a lot of energy.
“Whether you’re doing that to a specialized CNN block, as in the case of embedded vision processes, or whether you’re doing it in a graphics chip with GPUs, it’s each and every about multiply accumulates,” said Yudhan Rajoo, technical marketing manager for foundation IP at Synopsys. “The artery they deal with this problem is primarily after the RTL has been written, by instantiating confident intricate cells in the RTL by the designer in a hand-placed fashion. For example, there are large boot multiplexers — large compressors and 16-bit muxes and multipliers that they are starting to add in to reduce the overall size of the design. That reduces the number of routes that you necessity to make, and as you coast down in nodes this reduction in number of routes saves a lot of switching power. These things are continuously running and transmitting signals, so as petite connection as you can Make is what really helps reclaim power.”
These decisions start up front during the planning aspect of the design. But as with any other kind of design, engineering teams are very worried about design timelines and tapeout timelines, and power can occupy a grand repercussion on schedules.
“There’s a grand race to gain up with the best neural network processing architecture, and these RTLs withhold on changing until pretty much the last month of tapeout,” Rajoo said. “As a result, design teams are very worried about finding [library] solutions that give enough flexibility to modify things down the line. This has risen as a prime consideration for both SoC designers and their design managers who want to occupy this flexibility. These teams necessity a breadth of options, especially on advanced nodes, because the number of foundries that are doing the most advanced nodes is down to two, maybe three if you’re being generous.”
Within these unique architectures, optimization around power is becoming a critical design element. “Low-power design is not limited to platforms relish mobile or IoT,” said Dave Pursley, senior principal product manager for the Digital & Signoff Group at Cadence. “Computationally intensive algorithms are an keen problem because the computations themselves will require a significant amount of energy to perform. In other words, there is a fairly elevated ‘floor’ when it comes to the amount of energy that will be consumed.”
All of this has pushed the design space well beyond just the hardware to the movement of data through a system, including what gets processed where, how precise the computation needs to be, and how it is stored and read in memory.
“Theoretically, from a dynamic switching perspective, the lowest energy solution to compute an algorithm would be to compute it as in as few clock cycles as feasible and then shut off via clock gating—or better yet, via power shutoff,” Pursley said. “That minimizes the amount of ‘unproductive’ switching, such as muxing, flip-flops, and the amount clock-switching but that often is not the best tradeoff, because the required silicon locality would be larger. That, in turn, increases costs, leakage, and even dynamic energy due to the higher capacitance of longer interconnects. Moreover, it may not even be feasible, especially for computationally intensive algorithms. Power is energy over time, so computing an energy-hungry algorithm in a short time may be infeasible or too costly from a power perspective.”
In these cases, it is the task of the designer and the EDA tools they use to amortize that energy over time. The goal is an acceptable power profile with minimal energy overhead, while still meeting the performance requirements of the application. So while RTL and physical optimizations can reduce power by 20% or more, the most valuable optimization begins with a power-efficient RTL architecture. That includes an understanding of the clock speeds of the various blocks, how they communicate with each other, what is the remembrance architecture and the throughput, and what is the overall power repercussion of the architecture. Modeling each and every of this remains difficult, however, largely because so many of the applications and architectures are new.
“With finFETs, with self-heating behavior, they occupy some history from the earliest finFETs,” said João Geada, chief technologist for the semiconductor business unit at ANSYS. “This is the fragment that concerns me the most. They are making parts for which they don’t really occupy history on the modeling side on the foundry. They occupy the simulation technology. If they occupy the models — both on the highly detailed stuff, as well as on the large-scale chip-wide stuff on their side. They execute necessity both, but they depend critically on models, and that’s still a very challenging area.”
Still, the power problem is so large and diffuse that some higher flush of abstraction is required.
“In many cases, the best artery to device this out is to use high-level synthesis (HLS) to actually create multiple RTLs with different architectures and actually measure the power with realistic stimulus,” Pursley said, noting that state-of-the-art RTL power estimation tools today can bear power estimates within 15% of sign-off. “The real trick is to ensure you occupy realistic stimulus for measuring power. For example, for a processor the ‘boot Linux’ test is noteworthy for functional testing and peak power analysis, but it is likely a terrible metric for optimizing middling power to maximize battery life. A better stimulus would be the processor running its typical applications. It is valuable to use the revise stimuli, or windows of stimuli, for the revise optimization tasks. Otherwise, you or your tools will be making optimization decisions based on imperfect data.”
If the stimulus is known to be representative, it can furthermore feed into the implementation tools to ensure that the identical power goals and tradeoffs are being made throughout the flow. Introducing or changing stimuli late in the tide increases the haphazard of a non-convergent optimization flow, or at least one that takes longer to converge.
Then, as early as RTL synthesis, multi-mode, multi-corner (MMMC) optimization should be used, he said. That allows RTL physical synthesis tools to create power-optimized netlists, which comprehend well-balanced logic to avoid glitching, optimal leakage optimization, advanced clock gating, multi-bit cell inferencing, and power-aware design-for-test.
“Like the architectural optimizations, these types of implementation optimizations occupy the most repercussion on power when introduced early in the flow,” Pursley said. “Introducing MMMC in layout or signoff changes the optimization goals partway through the flow. At best, this means that optimizations done by RTL synthesis were wasted and may be undone. At worst, you now occupy a tide that will rob many iterations to converge through signoff, with an increased haphazard of a costly re-spin due to error-prone manual iterations.”
Methods for reducing power at RTL and below — power gating, clock gating, multi-Vdd, multi-threshold, DVFS — are well understood. The problem is that by the time RTL is available, the project is already well advanced and it’s too late to Make any bigger changes, said Tim Kogel, principal applications engineer at Synopsys.
The biggest repercussion on power, energy, heat, and cost is achieved at the system level, and it works best when the design team has detailed lore of the sojourn application and use cases. That allows engineers to group components into power domains that can be powered down as much as possible, as well as to define power management policy and operating points for DVFS. It furthermore helps to device out the best artery to divide workloads to processing and remembrance resources to sojourn within power and thermal budgets.
“The power needs to be considered and optimized well before RTL availability, at the architecture specification phase,” said Kogel. “The problem is that accurate data about the power consumption is typically not available during architecture specification phase. At best you occupy some data-sheet numbers and data from previous projects. It becomes worse when you try to roll up that premature data in spreadsheets because you are missing the dynamic consequence of the application utilizing different components at different points in time. Even if the hardware implementation has been designed for low power, the effective power consumption is often much higher than expected because the software does not leverage the low-power mechanism provided by the hardware. Thus, a diminutive oversight from the software developer can preclude a power domain from being shut down.”
To enable early power estimation, IEEE 1801 UPF has defined a measure format for system flush power models. “This artery UPF power monitors can be added to architecture models and virtual platforms for software development,” Kogel said. “Architects can analyze and optimize power based on the actual activity, and software developers become alert of the repercussion of their software on power consumption. Even if the power data is not accurate, trend-based analysis based on the simulated activity provides valuable insight. Later the initial power data can be refined as more accurate measurements become available.”
While characterization of system-level power models remain a challenge, it’s feasible power characterization tools could be enhanced to generate system-level power models.
Power matters moreThere has never been a more pressing necessity to trust about the power in chips as today because of the rapid tower in data generated by the proliferation of connected sensors and devices.
“In the days of PCs where the source of power supply used to be 220V AC, it was each and every fine,” said Mohammed Fahad, product specialist at Mentor, a Siemens Business. “But with the advent of handheld devices relish smart phones and tablets, it’s not just that the geometries of the computing devices occupy shrunk. The devices are getting loaded with more and more apps and services. Possibilities to fabricate chips at smaller nodes occupy enabled the chipmakers to pack billions of transistors on even smaller silicon real-estates. With enormously intricate logic going into even tinier chips, the power consumption is getting on the critical path and often causing chips to singe out. Industry research has found that power is the second most frequent intuition for chip re-spins. Billions of dollars in investment are going down the drain. This is why design companies today occupy a very robust low power methodologies in place, built around sophisticated power estimation and optimization tools.”
Performing power estimation is about knowing the power scenario of the chip. Designers would relish to understand the overall power consumption of their blocks, where the hotspots are, and which areas are overshooting the budget. In other words, where is power being wasted? If power consumption of the chip stays within the budget, it’s each and every satisfactory news. But what if it doesn’t?
Fahad celebrated that RTL power estimation tools define a problem statement for the RTL power optimization tools to address it, identify the computational redundancies in RTL, and inform the user how these redundancies in the code could be eliminated. Tools furthermore provide ways to automatically fix these redundancies and write out the power-optimized RTL. “Optimizing the RTL for power early in the design stages pays higher dividends than engaging later in the cycle. Therefore, low-power methodology demands that power optimization should be sprint well before the code freeze so that it is smooth to Make any power-saving code changes at the RTL or architectural level-if necessary.”
There are various ways in which a chip’s power consumption can be reduced or controlled, including gating the non-observable operations on flops and memories, stopping the design toggles for stable inputs and outputs and bypassing the stable remembrance accesses. At the architecture level, changing the shift register operations to circular buffer, and finding a common gating condition for blocks rather than just flops furthermore can help.
Fundamentally, the key to effective power management, from the smallest battery-operated IoT devices to the hungriest GPU and SoC designs, is drawing only the power that is really needed. Different functions on a chip should sprint at the lowest voltage and clock accelerate that can deliver the required performance, while functions not currently in use should be on standby or turned off entirely. To accomplish this, intricate chips occupy dozens or even hundreds of power domains, each of which controls the operating situation for a portion of the design.
The rules for how these domains can be manipulated are usually quite complex, and iterating through each and every feasible legal power combinations in simulation is impractical. One solution to finding and fixing potential problems may require applying existing tools in unique ways.
“Rules for which power domains should be on or off depending on what the chip is doing can be captured in the shape of assertions,” said Tom Anderson, technical marketing consultant at OneSpin Solutions, noting that formal can prove that only legal combinations of power domain settings are possible, or generate tests showing violations if there are bugs in the design. “Formal verification can prove that these rules are satisfied under each and every conditions or report bugs. Finding and fixing power-related issues pre-silicon is critical to avoid a chip that doesn’t work because key functions are powered down, or one that suffers thermal breakdown when too much of the chip is turned on at the identical time.”
For this, power estimation isn’t enough. “It’s not that they shouldn’t execute anything at the RTL,” said Madgy Abadir, vice president of marketing at Helic. “You can sprint some RTL power estimation and execute things relish that, but it is not sufficient. Anything you can execute to help on your design at the RTL is always a plus, but it’s not going to be the complete answer. Especially at the physical level, there are phenomena such as thermal and electromagnetic effects, and these effects can only be seen once the layout is complete. Once you occupy the actual physics, such as the IR drop, analysis needs to occur on the real physical layout that you are planning to implement. Only when you perceive the effects can you determine if it is acceptable or not. This is not something that can be characterized early on and just build it in a library.”
Especially for high-power-consuming chips relish GPUs, a lot depends on the application that is running.
“When people develop GPUs, it’s relish developing a microprocessor in the old-fashioned days,” Abadir said. “They don’t know exactly what applications people will be running, and it is general-purpose. There might be many, many customers and applications that would change over time. It may rob a pair of years for that to gain developed from the time it’s in RTL to the time it is on the shelf. During that time a lot of software gets written, a lot of apps will be developed. The algorithms are where the optimization needs to happen, and some of it depends on what kind of algorithm you necessity to be running. If you’re doing pattern matching or if you’re doing sorting or searching, there are many different ways of executing these types of tasks. Every one of them has a different power, a different performance kindhearted of characteristic. Depending on what you’re trying to execute and how satisfactory your software developers are, at the sojourn of the day, this is what determines the actual power consumption of the task.”
This is where lore of the sojourn application really helps. “If I am developing a GPU and occupy lore of the kind of application that would sprint on my chip eventually, which in a lot of cases people do, they try to execute performance modeling and power modeling in the early stages to device out the architecture — which kind and what to do,” he said. “When it comes to power, it’s a very difficult problem. The problem is how to assess power at the elevated level. Some approach this from a characterization point of view, which means you characterize gates and cells, the worst case for timing and for power. But in many cases, such as with GPUs, we’re doing things that occupy not been done before. Where execute you gain the models? We’re estimating at the elevated flush how much power is required, and this can be a guessing game because it’s not accurate and can be artery off from what happens with the real chips. This is because the actual power consumption has to execute with the actual physical attributes of the chip.”
Another significant factor is the altenative of algorithm. There may be several different sorting algorithms, for example, each of which may sprint at a different accelerate or occupy different remembrance requirements. The tradeoffs here can occupy a grand repercussion on how much power is used, though.
“As a developer of the chip, at the RTL what execute I do? I developed the GPU that can add and multiply, coast through remembrance and gain things to operate in parallel, occupy multiple threads,” Abadir said. “Most of the techniques for lowering the power gain in the implementation stage for these kind of chips, so doing it early requires control of the application. I necessity to control the algorithm. ‘Early’ means the keys are in the hands of the software people. ‘Later’ means the keys are in the hands of the hardware people. It might be both of them operating in hardware-software co-design, but later on somebody will pick the algorithm, and now the hardware guy needs to tweak each and every the feasible things that are clock gating.”
ConclusionThe semiconductor industry is coming to grips with the fact that general-purpose chips are no longer the path forward. The unique currency is data, and processing that data quickly with blazing mercurial throughput and access to remembrance are key design elements.
But making this occur without burning up a chip is a massive and growing challenge, and it’s only getting harder as the volume of data increases and the benefits of device scaling decrease. Power is the main gating factor, and it’s becoming much more difficult to fix as compute architectures and require for processing continue to rise.
Power Modeling And Analysis
Taming NBTI To help Device Reliability
Designing For Ultra-Low-Power IoT Devices
PARIS--(BUSINESS WIRE)--ESI Group, leading innovator in Virtual Prototyping software and services for manufacturing industries, will exhibit at Manufacturing World Japan 2019, in Tokyo, February 6thto 8th. ESI will showcase its Virtual Reality solution for manufacturers to validate assembly and maintenance processes well ahead of production, to minimize design errors, reduce risks, and successfully scale up production.
The digital transformation is profoundly reshaping the manufacturing industry, from product evolution to process engineering, structuring the factory environment and planning maintenance procedures. The implementation of digital innovations such as connected objects, robots/ cobots and Augmented Reality (AR) is bringing unique value to the factory floor, along with sizable opportunities to maximize product attribute and productivity. For engineering teams this often translates into unique layers of complexity, creating potential inefficiencies that can repercussion product assembly, disassembly and maintenance. When these operations involve human interactions, unique technologies can be a particular source of operational mistrust that needs to be mitigated to assure successful production ramp-up and to achieve production targets.
To answer unique challenges growing at the heart of the Factory of the Future, ESI has fostered a unique and powerful Virtual Reality solution; one that enables manufacturers to evaluate ahead of time the interaction of people with products and processes. “Virtual Reality represents a technology of the future that will occupy an repercussion on the efficiency of their developments. The factory of the future is already here,” comments Nicolas Lepape, Virtual & Augmented Reality R&T Project Manager, Safran Nacelles.
Boasting real-time and real-scale capabilities powered by realistic physics, ESI’s solution is the established leader in Virtual Reality for the industrial world. At Safran Nacelles, for example, manufacturing process engineers use IC.IDO to undergo their process designs – without pile full-sized prototypes. In the automotive industry, Fiat Chrysler Automotive Latin America uses the solution to analyze assemblies at different workstations throughout the universal assembly production line. They test the real conditions of the product within the process, without investing in physical tooling or a pre-production vehicle. IC.IDO allows them to address ergonomics, to gain visibility in hard-to-see locations, to learn how to access hard-to-reach places, and to validate assembly devices, transfer systems, and installation processes.
Using ESI IC.IDO as early as possible, manufacturing companies can experience, validate and communicate the production process risks across the requirements of multi-disciplinary teams. By doing so, they can reduce risk and inefficiency to gain cost, attribute and safety targets while scaling up production to successfully meet customer require in a timely and cost-efficient manner.
At Manufacturing World Japan 2019, ESI will be located in the 3D & Virtual Reality Expo. Visitors will occupy the break to undergo live demonstrations of ESI IC.IDO running on Head-Mounted Displays (HMD) and powered by finger tracking.
ESI teams witness forward to meeting you on booth West 2-73.
For more ESI news, visit: www.esi-group.com/press
About ESI Group
ESI Group is a leading innovator in Virtual Prototyping software and services. Specialist in material physics, ESI has developed a unique proficiency in helping industrial manufacturers replace physical prototypes by virtual prototypes, allowing them to virtually manufacture, assemble, test and pre-certify their future products. Coupled with the latest technologies, Virtual Prototyping is now anchored in the wider concept of the Product Performance Lifecycle™, which addresses the operational performance of a product during its entire lifecycle, from launch to disposal. The creation of a Hybrid Twin™, leveraging simulation, physics and data analytics, enables manufacturers to deliver smarter and connected products, to predict product performance and to anticipate maintenance needs.
ESI is a French company listed in compartment B of NYSE Euronext Paris. Present in more than 40 countries, and addressing every major industrial sector, ESI Group employs about 1200 high-level specialists around the world and reported annual sales of €135 million in 2017. For more information, tickle visit www.esi-group.com.
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