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E20-385 E20-385 Data Domain Specialist for Implementation Engineers

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E20-385 exam Dumps Source : E20-385 Data Domain Specialist for Implementation Engineers

Test Code : E20-385
Test designation : E20-385 Data Domain Specialist for Implementation Engineers
Vendor designation : EMC
exam questions : 207 real Questions

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EMC E20-385 Data Domain Specialist

EMC/information domain/NetApp and facts deduplication: exclusive intelligence insurance and evaluation | killexams.com real Questions and Pass4sure dumps

EMC Corp. and NetApp battled for six weeks over facts area Inc., a number one enterprise in data deduplication technology. NetApp positioned an customary offer on statistics area for $1.5 billion on may additionally 20. quickly after, EMC challenged that bid, and the two businesses went back and forth in their offers for a pair of weeks, except July 6, when EMC placed the highest bid of $2.1 billion. NetApp stepped down from the bidding warfare on July 8, and records domain approved EMC's present of $2.1 billion. they beget now compiled their replete coverage of the EMC/statistics domain/NetApp battle, expert guidance, podcast interviews, and their foremost supplies on records deduplication.

EMC/records domain/NetApp: table of contents

EMC/data domain/NetApp intelligence coverageEMC/statistics domain/NetApp podcasts information deduplication technology substances

 

EMC/statistics domain/NETAPP exclusive information insurance

EMC acquires records area for $2.1B after NetApp drops bidEMC wins the combat over data domain. NetApp pointed out it will no longer boost its bid to purchase the facts deduplication backups specialist, and facts domain's board authorized the $2.1 billion offer EMC made July 6 and entered prerogative into a definitive agreement.

EMC raises its acquisition offer for information deduplication vendor information area to $2.1BEMC raised the stakes in its bidding battle for statistics deduplication backup professional information area Inc., increasing its everysingle money offer to $33.50 per partake or $2.1 billion in an attempt to sway the information area board from accepting NetApp's present of $1.9 billion.

Storage trade weighs EMC's, NetApp's bidding warfare for facts DomainStorage directors maintain an in depth eye on EMC's and NetApp's bidding struggle for statistics area Inc. after NetApp raises the bid to $1.9 billion, and miracle how the destiny of the information deduplication backup specialist will beget an impact on the storage business.

EMC wants to purchase statistics area for $1.eight billion to dominate data deduplication marketEMC provided $1.eight billion to purchase information area, eclipsing NetApp's $1.5 billion present for the target-based mostly deduplication backup specialist on may also 20.

NetApp plans to purchase statistics deduplication professional facts area for $1.5 billionNetApp Inc. made a daring skedaddle to develop into the market chief in facts deduplication technology when it obtained statistics domain Inc. for $1.5 billion in a blended cash and inventory transaction.

PODCASTS ON EMC/NETAPP/records domain: professional feeling AND analysis 

EMC continues the battle for information area with unusual bid of $2.1 billionThe bidding battle between EMC and NetApp over statistics area persisted as EMC raised the bid to a remarkable money offer of $2.1 billion. Beth Pariseau, senior intelligence writer at SearchStorage.com, and Curtis Preston, government editor at TechTarget, talk about the latest traits of the myth during this podcast.

EMC and NetApp proceed the battle over information DomainEMC raised the bid to $1.eight billion. Beth Pariseau, senior information author for SearchStorage.com, talks in regards to the merits of having statistics domain in a company, and what this deal may signify for the longer term. And Curtis Preston, government editor at TechTarget and impartial backup professional, talks about the battle between EMC and NetApp.

records DEDUPLICATION substances: THEIR properly five facts DEDUPE suggestions 

statistics deduplication can retain organizations time and cash by means of enabling extra information healing from disk and cutting back the footprint and vigour and cooling requirements of secondary storage. exist mindful where and how to use statistics deduplication know-how in disk-based mostly backup listed here.

if you've decided that your information backup device can capitalize from data deduplication, you really beget a variety of choices. during this tutorial, they examine publish-processing versus inline deduplication, disk-based mostly backup and dedupe, and compare the well-known deduplication products. exist trained every limited thing you should know about deduplication in their statistics deduplication tutorial.

statistics deduplication is one of the hottest technologies in data backup and healing. however before you attach into result a deduplication product, you'll want to confidence even if it gives world deduplication. exist taught why global deduplication is censorious in this tip.

statistics deduplication ratios may also exist very complicated. find out about how to rate a data deduplication ratio on your backup paraphernalia and the passage to admiration a dedupe product. you will also exist trained what's a practical data dedupe ratio to are expecting from a backup product listed here.

statistics deduplication is longer a bleeding-part know-how, and the cost result downs of statistics reduction is chiefly attractive as agencies contend with information boom and tightening budgets. SearchDataBackup.com requested clients concerning the deduplication products they've deployed, and the professionals and cons of every. study information deduplication approached in backup nowadays.


red Hat acquires records cleansing professional Permabit’s know-how & property | killexams.com real Questions and Pass4sure dumps

crimson Hat Inc. is bolstering its storage product portfolio with the acquisition of Permabit expertise Corp.’s know-how belongings, the commercial enterprise Linux company revealed Monday.

The settlement will additionally discern sixteen of Permabit’s employees relate purple Hat. terms of the deal were now not disclosed.

centered returned in 2000 with a total of $12 million in chore capital funding behind it, Permabit has through the years managed to carve out a gap for itself as a professional in what it calls “information effectivity expertise.” extra especially, it presents items that allow agencies to pellucid up their company data a pleasurable passage to access it quicker and redeem it greater efficaciously. It also sells statistics compression technology. in addition, the enterprise has partnered with pink Hat considering the fact that 2016 to exist confident its utility works with the latter’s storage items.

In a statement, crimson Hat preeminent the addition of Permabit’s statistics deduplication and compression applied sciences should exist a fine suitable for its personal storage offerings. “With the addition of Permabit’s statistics deduplication and compression tools to pink Hat trade Linux, purple Hat could exist ready to aid these companies as they are searching for to derive a greater efficacious storage footprint,” preeminent Jim Totton, a red Hat vice chairman and accepted manager.

The acquisition should as a minimum execute crimson Hat’s storage products greater appealing. information storage is cheap however it nonetheless comes at a cost, and people fees finish add up for companies transitioning to greater expensive but more suitable-performing glance storage. This very common sense become additionally pointed out to exist the incentive at the back of EMC Corp.’s $2.four billion acquisition of statistics domain Corp., yet another enterprise that cleans records, again in 2009.

crimson Hat observed the deal will “have no fabric beget an impact on” on its 2nd-quarter or fiscal-yr profits.

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Rackspace Joins EMC velocity carrier provider companion software | killexams.com real Questions and Pass4sure dumps

SAN ANTONIO--(enterprise WIRE)--Rackspace® internet hosting (NYSE: RAX), the provider chief in cloud computing, today announced it will extend its relationship with EMC through joining the EMC velocity™ carrier company software to boost unusual cloud-primarily based carrier offerings. the two groups beget collaborated given that 2001 to carry a replete latitude of resourceful options leveraging EMC’s portfolio of counsel infrastructure items including digital storage and various cloud-based information administration services.

“Our conclusion-clients will edge from the relationship between EMC and Rackspace as it offers the IT options from both agencies on one seamless offering while decreasing charges,” preeminent Jim Lewandowski, senior vp of global income for Rackspace. “during the past, meeting computing needs intended you needed to buy servers, nominate technical faculty after which constantly reinvest to sustain with expertise. Now the end-clients can shift their heart of attention to their mission-crucial apps, core expertise and innovation whereas being supported with the aid of their hallmark Fanatical assist.”

With the improved relationship the agencies will toil collectively on new, joint solutions in order to enable agencies to optimize efficiencies and reduce expenses. throughout the hurry service company companion application, EMC will toil with Rackspace to permit Rackspace to convey a wide variety of cloud-primarily based IT features to the world IT market.

latest service offerings consist of Rackspace managed commercial enterprise deepest Clouds that are based on EMC Symmetrix VMAX™ and EMC VNX™ unified storage to deliver trade storage enviornment networks. moreover, Rackspace provides statistics replication capabilities based on EMC RecoverPoint, EMC information area®, and EMC Isilon® items. Rackspace also presents EMC options with Fanatical guide®, giving end-clients a much wider altenative of cloud-primarily based IT options and tactical advantages equivalent to cost reductions, flexibility and scalability coupled with world-classification usher to enhance its efficiency.

“As long time companions, the expansion of their relationship to develop unusual cloud-based solutions is a herbal evolution. Rackspace’s rock solid basis and world category Fanatical assist mixed with EMC’s portfolio of products that are optimized for digital environments will enable Rackspace to bring inventive cloud computing offerings,” preeminent EMC’s Dennis Hoffman, Senior vice president, carrier suppliers. “EMC is dedicated to working with carrier providers fancy Rackspace to convey trusted, enterprise-class cloud features that permit their mutual purchasers to choose the rectify source for each IT workload.”

About Rackspace hosting

Rackspace hosting is the world’s leading professional in the internet hosting and cloud computing business, and the founding father of OpenStack™, an open source cloud platform. The San Antonio-based enterprise gives Fanatical assist® to its purchasers, across a portfolio of IT services, including Managed hosting and Cloud Computing. Rackspace has been diagnosed by passage of Bloomberg BusinessWeek as a desirable 100 Performing know-how company and turned into featured on Fortune’s record of 100 most profitable agencies to toil For. The company become additionally located in the Leaders Quadrant via Gartner Inc. in the “2010 Magic Quadrant for Cloud Infrastructure as a service and internet hosting.” For greater guidance, dispute with www.rackspace.com.

EMC, pace, Symmetrix VMAX, VNX, facts area and Isilon are registered logos or logos of EMC corporation or its subsidiaries within the u.s. and different countries.

forward-searching Statements

This press unencumber carries ahead-searching statements that accommodate dangers, uncertainties and assumptions. If such hazards or uncertainties materialize or such assumptions prove wrong, the outcomes of Rackspace internet hosting could scope materially from these expressed or implied with the aid of such forward-looking statements and assumptions. everysingle statements other than statements of ancient fact are statements that may well exist deemed forward-searching statements, including any statements regarding anticipated construction, efficiency or market acceptance linked to their product choices and services, including those provided with the aid of EMC; anticipated operational and fiscal advantages from their product choices and capabilities, including those supplied through EMC; any statements of expectation or belief; and any statements of assumptions underlying any of the foregoing. risks, uncertainties and assumptions encompass the probability that anticipated advantages from their product offerings and capabilities may also now not materialize as a result of their products don't appear to exist frequently authorised within the industry, which may swirl up as a result of inescapable components including (i) a failure to market the product or functions can freight with no trouble, differentiate the product from competitive products or communicate differentiations effortlessly, (ii) the reliability, first-class or compatibility associated with their products and services, (iii) changes in technology which adversely impress the benefits of their products or functions, and (iv) other dangers that are described in Rackspace internet hosting's shape 10-Q for the quarter ended June 30, 2011, filed with the SEC on August 8, 2011. except as required by using legislation, Rackspace hosting assumes no responsibility to replace these ahead-looking statements publicly, or to replace the motives actual outcomes might fluctuate materially from those predicted in these forward-looking statements, although unusual assistance turns into accessible in the future.


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E20-385 Data Domain Specialist for Implementation Engineers

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SPDM: From Extreme Disappointment to the Democratization of Simulation? | killexams.com real questions and Pass4sure dumps

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 area of product development. This raises questions like: How can it exist made easier? How can they spread the use of these tools to a wider fraction of the product design community? And, can simulation process and data management (SPDM) abet 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 plight of a feasible broadening of the user base.

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 plight of a feasible broadening of the user base.

Let us sight at simulation with a focus on SPDM. The adoption of SPDM within mainstream product evolution has, according to CIMdata, “been extremely disappointing from a trade impact perspective.”

According to the analyst, fewer than five percent of everysingle 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 primary advances in the utilization of modern product evolution technology

Although there are exceptions, simulation software is generally not light to use, share, or, for that matter, even understand for some members of product evolution teams. At the very time, the capabilities of the software and the results are necessary to understand the physical behavior of designs and to validate their functionality, strength, motion in a flow, etc., as well as fill regulatory requirements. This does not signify that they’re not useful for less complex simulations. But in general, their overall result 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 primary link?

Process Templates Are Not the Answer Gartner Group's PLM analyst and vice president, Marc Halpern, was one of the first employees ofthe now market-leading CAE software developer ANSYS.

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 enthralling 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 beget always understood SPDM as a passage to manage models and results. A single CAD model can exist used to create many different models to discharge 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 unravel the basic problem,” Halpern claims, pointing to things fancy common self-confidence in the results.

“Does the model used match reality so that the results become useful? Another primary point is about the interpretation of the results, which can exist a problem.”

On the other hand, Halpern says that there are promising examples of embedded expert erudition 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 discern from SPDM technology,” he said.

Though the concept of simulation with pleasurable 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 exist 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 exist tested and validated before they are produced. Not only that, in the era of mass individualization, a big number of variations can bear families of products or parts, and they everysingle beget to work. 

With a connected product (IoT), the operation of a product will also 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 unusual technologies, the number of simulations has increased dramatically in the final 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 beget thus also achieved an average growth substantially higher than other PLM investments (CAx, ALM, cPDm etc.) during the very 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 gradual industrial uptake of SPDM, at least outside the major automotive and aerospace industry’s OEM companies.

But Halpern is not surprised. “There are pleasurable 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 partake prices—SPDM investments are more likely to provide long-term positive effects, which are more difficult to detect immediately. SPDM can execute engineers more productive in a passage that, from management's point of view, does not beget the short-term, immediate benefits that ERP provides,” explains the Gartner analyst. Since so few senior executives understand SPDM, they can’t really champion it. SPDM is not like product design, sourcing and manufacturing operations, where what can skedaddle wrong can exist quite obvious, occasions delays in the delivery of the product, and impress 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 champion for SPDM ventures generally comes from engineering teams, and the simulation teams in particular. It doesn’t abet that SPDM is difficult to implement—as difficult, if not more, than PDM. everysingle in all, this is the judgement I can discern behind the gradual growth in SPDM.”

Again, the situation is not encouraging. 

"The real adoption rate within mainstream product evolution activities has been extremely disappointing from a trade impact perspective... Unfortunately, the most common shape of SPDM in rehearse today is noiseless the use of personal hard 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 incompatible 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 want of self-confidence 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 erudition that can exist linked to a design model in a passage that makes it feasible for many designers without advanced simulation erudition to grasp fraction of, and even do, simulations,” says Halpern.

Turning Months into Days

One company that has SPDM platforms to its edge is Boeing. By tying together simulation and process data, Boeing manages to abridge some evolution processes substantially.

This goes well in line with other cases where evolution processes beget been shortened from months to days. In extreme cases—when the rectify knowledge, interpretation and the rectify simulation results are everysingle embedded in the design model—the evolution process can exist shortened to hours.

This proves SPDM solutions can exist 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 also in later phases: during the product realization process, as well as when products are in use. 

More and more PLM vendors are also starting to sight at packaging and developing solutions that execute simulation more accessible to multiple stakeholders in product development teams. It’s common erudition that there is a gap and that the exact for bridging the gap is on the rise. Sweden-based multiphysics software vendor, COMSOL (with the Application Builder), was early to offer solutions for this, but also 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 cessation of September 2018.

“Much remains to exist gained if they can nigh 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 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 beget been developed specifically for 3D modeling and simulation (such as finite constituent analysis and computational fluid dynamics). This means that they often want efficacious champion for models and information created in 0D/1D systems modeling, which is censorious when implementing an MBSE (Model-Based Systems Engineering) approach. 

However, the major solution providers are now recognizing this requisite and the analyst expects to discern significant progress in this area 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: 

  • People because they are probably the most challenging parts of putting SPDM to efficacious toil in the broader team environment. Organization, education, training, competence, and methodology are censorious aspects here  
  • Processes because they, among other things, beget to address areas fancy PLM integration, S&A best practices, roadmap navigation models, and synchronization between virtual and physical verification and validation
  • Company culture and governance because you beget to formulate and carry out a vision, a strategy, and a minute procedure on the path to implementing the SPDM system. 
  • However, software vendors are noiseless in the early days in developing SPDM solutions that are both robust and light to use. 

    Most analysts alsoagreethat the exponential growth of CAE and the explosion of simulation-related data appearing from increasing digitization, unusual technologies and disruptive product realization methods requires more competent management systems.

    “Without pleasurable SPDM tools, it will exist difficult to effectively understand this fraction of the product realization process,” says Marc Halpern.

    Simulation is an essential constituent throughout this process. Why?

  • Distributed product evolution and manufacturing is growing stronger
  • Realizing trade benefits of model-based system technology (MBSE) is becoming increasingly primary as systems of systems become more common
  • Operation of digital twins
  • The creation and utilization of IoT, IIoT and Industry 4.0 concepts has taken off worldwide
  • The multiply in the number of additively manufactured parts and components (3D printing) requires unusual design methodology and unusual insights
  • Hybrid additive technology (adding material) and subtractive (removing material, i.e. CAM/NC) technologies
  • An increased use of generative design (where the software proposes an optimized design based on the basic model).
  • “SPDM platforms will exist crucial to realizing the righteous 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 requisite to exist 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 capitalize from access to simulation information to execute more informed decisions."

    Halpern concurs, adding, “But there are also elements in the data management, which I observed in my research on digital twins, which applies to SPDM. I discern a strong 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 beget seen increased communication between the analysis, simulation and the ease of the members of the product evolution team. Also, it is pellucid that unusual disruptive technology can exist a ferment and is able to fracture up isolated data structures.

    But there’s more. Can a software developer create solutions that can meet the unusual requirements to extend collaboration opportunities, Halpern wonders.

    Withoutuncertainty. Is it feasible to parameterize the thermal analysis of a microprocessor on a circuit board, so that it can exist applied to similar configurations and variations without uncertainties about the mesh?

    Without uncertainty. Is it feasible to parameterize the thermal analysis of a microprocessor on a circuit board, so that it can exist applied to similar configurations and variations without uncertainties about the mesh?

    During a NAFEM presentation, the Gartner analyst said that this is an instance of a capability that one can embed in a model.

    “Some convene it encapsulation,” Halpern continued. "But whatever you convene it, this kindly of encapsulated information can free up engineers from having to exist full-time analysts. The specialized terminology, conventions, and features of the simulations can remain under the hood and the interface made considerably easier to use. A complex problem can exist solved with a handful of parameters. This would provide simulation to not only engineers, but also to others involved in the product and its design.”

    Aras Takes a Step with Comet Acquisition

    Allowing more engineers to discharge simulation is exactly what the PLM developer Aras was aiming for when it purchased Comet. The acquisition is an primary step on a roadmap for developing platform-based SPDM to champion increased use of simulation for complex scenarios.

    Aras aims to help Innovator’s faculty to handle simulation data. With Comet's technologies, manufacturers and product developers can reuse complex 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 field by offering traceability, access and reuse during the product life cycle.

    Comet's products are largely based on a sequence of customer-developed and web-implementable "SimApps," with built-in expert erudition and methods. “These SimApps,” says Aras Marc Lind, “create a simulation-driven design that fits everysingle users, from CAE experts to design engineers. "

    We seekinformationfrom Halpern if this is what he meant by encapsulated knowledge.

    “Exactly!” says the Gartner analyst. “This distinguishes what Aras sells from what I usually discern in terms of SPDM technology.”

    He added that Comet's real value in democratizing simulation is its faculty to integrate functionality and erudition into CAD models so that the person making the simulation or evaluation requisite not worry about complex problems and intricate trade-offs to execute the simulations.

    “Encapsulated erudition takes custody of it."

    Web-based simulation a la Aras. Comet’s SimApps (now fraction of Aras) are web-based simulation programs that areeasy to use, even for salespeople. Product engineerscan discharge
 complex simulations safely. These SimApps can reply specific questions about the design of a product in a productfamily, for example. Comet experts, partners and customers beget 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.

    Web-based Simulation a la Aras. Comet’s SimApps (now fraction of Aras) are web-based simulation programs that are light to use, even for salespeople. Product engineers can discharge complex simulations safely. These SimApps can reply specific questions about the design of a product in a product family, for example. Comet experts, partners and customers beget 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 primary point to Get SPDM to toil is to apply a "vendor-agnostic" implementation by connecting a wide scope of CAD, FEA, meshing, 0D/1D simulation tools and proprietary applications. It is a requirement for supporting the often heterogeneous software environments create 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) want efficacious links between simulation users and the extended enterprise.

    “Expanding the digital thread to include simulation tools and processes has emerged as an primary factor for future trade models,” he says. “Simulation can add significant value to product development, manufacturing and field operations, but has not yet reached its potential due to limited connection to the ease 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 also points out that the complexity that comes with smartly connected product design and MBSE are primary trends that will champion the requisite for this type of platform.

    “We discern 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 importance of developing the "digital thread" and solutions with digital twins for predictive maintenance.

    "With Comet technology they nigh 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 also points to Comet's faculty to handle mixed models, different data types and representations of the very product. The very applies to assembly, which also needs to exist simulated. everysingle in all, this offers "an primary 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 also a immense edge over other SPDM systems on the market.

    What the common setup of ANSYS’s SPDM solution EKM looks like.

    What the common setupof ANSYS’s SPDM solution EKM looks like.

    Others Get into the Act

    Aras is not alone. PLM market leaders Siemens and Dassault Systèmes beget 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 exact 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 exist traceable," says Marc Halpern. “The test data management functions that Aras is developing with BMW will exist enthralling 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 abet them in their efforts? Given the above arguments, it is not unreasonable to anticipate some kindly of difference. But, selling this type platform of is not an light task.

    In addition, one should suffer in mind 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 righteous at big automotive and aerospace companies.

    But for the bottom line, the recrudesce 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 everysingle of the immense 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.


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  • Power Issues Rising For unusual Applications | killexams.com real questions and Pass4sure dumps

    Managing power in chips is becoming more difficult across a wide scope 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:

  • Power dissipation is becoming increasingly difficult in the finFET world, a problem that is made worse by the fact that at each unusual node after 16/14nm leakage current and dynamic power density are both increasing.
  • New applications such as AI and profound learning require massive compute power, and unusual architectures depend on rapid throughput and raw performance. But they also depend on keeping everysingle of the processing elements in a chip sedulous at everysingle times, which creates power dissipation problems.
  • More customization is required to tackle unusual markets. As a result, there are fewer derivative chips and more one-off designs, so problems detected and solved for one chip may exist significantly different than problems detected in other chips and much more expensive to fix.
  • These challenges extend from data centers, where AI, networking, and telecommunications require massive amounts of energy, everysingle the passage to the edge. At 7nm, it’s not uncommon for chips to exist large, sometimes at reticle size, with hundreds or thousands of processor cores. But unlike in the past, where those processors were mostly unlit except for required bursts of activity, some of the unusual application areas require more of these processing elements to exist on more often, if not everysingle the time.

    And this is where problems such as heat, electromigration, power-related din and reliability become particularly difficult to manage.

    “CPU Utilization, power management and device reliability must exist tightly and accurately thermally managed on die,” said Stephen Crosher, CEO of Moortec. “Otherwise, data heart electricity bills can exist 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 passage down profound within the system at chip level.”

    This is driving unusual 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 everysingle about multiply accumulates,” said Yudhan Rajoo, technical marketing manager for foundation IP at Synopsys. “The passage they deal with this problem is primarily after the RTL has been written, by instantiating inescapable complex cells in the RTL by the designer in a hand-placed fashion. For example, there are big boot multiplexers — big 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 requisite to make, and as you skedaddle 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 limited connection as you can execute is what really helps redeem power.”

    These decisions start up front during the planning facet of the design. But as with any other type of design, engineering teams are very worried about design timelines and tapeout timelines, and power can beget a immense impact on schedules.

    “There’s a immense race to promote up with the best neural network processing architecture, and these RTLs retain on changing until pretty much the final 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 beget this flexibility. These teams requisite 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 unusual architectures, optimization around power is becoming a censorious design element. “Low-power design is not limited to platforms fancy mobile or IoT,” said Dave Pursley, senior principal product manager for the Digital & Signoff Group at Cadence. “Computationally intensive algorithms are an enthralling problem because the computations themselves will require a significant amount of energy to perform. In other words, there is a fairly tall ‘floor’ when it comes to the amount of energy that will exist 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 exist 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 area would exist larger. That, in turn, increases costs, leakage, and even dynamic energy due to the higher capacitance of longer interconnects. Moreover, it may not even exist feasible, especially for computationally intensive algorithms. Power is energy over time, so computing an energy-hungry algorithm in a short time may exist infeasible or too costly from a power perspective.”

    In these cases, it is the chore 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 noiseless meeting the performance requirements of the application. So while RTL and physical optimizations can reduce power by 20% or more, the most primary 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 reminiscence architecture and the throughput, and what is the overall power impact of the architecture. Modeling everysingle of this remains difficult, however, largely because so many of the applications and architectures are new.

    “With finFETs, with self-heating behavior, they beget some history from the earliest finFETs,” said João Geada, chief technologist for the semiconductor trade unit at ANSYS. “This is the fraction that concerns me the most. They are making parts for which they don’t really beget history on the modeling side on the foundry. They beget the simulation technology. If they beget the models — both on the highly minute stuff, as well as on the large-scale chip-wide stuff on their side. They finish requisite both, but they depend critically on models, and that’s noiseless a very challenging area.”

    Still, the power problem is so big and diffuse that some higher even of abstraction is required.

    “In many cases, the best passage to design 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 beget realistic stimulus for measuring power. For example, for a processor the ‘boot Linux’ test is remarkable for functional testing and peak power analysis, but it is likely a terrible metric for optimizing average power to maximize battery life. A better stimulus would exist the processor running its typical applications. It is primary to use the rectify stimuli, or windows of stimuli, for the rectify optimization tasks. Otherwise, you or your tools will exist making optimization decisions based on debase data.”

    If the stimulus is known to exist representative, it can also feed into the implementation tools to ensure that the very power goals and tradeoffs are being made throughout the flow. Introducing or changing stimuli late in the flux increases the chance 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 exist used, he said. That allows RTL physical synthesis tools to create power-optimized netlists, which include 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 beget the most impact 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 exist undone. At worst, you now beget a flux that will grasp many iterations to converge through signoff, with an increased chance 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 execute any bigger changes, said Tim Kogel, principal applications engineer at Synopsys.

    The biggest impact on power, energy, heat, and cost is achieved at the system level, and it works best when the design team has minute erudition of the cessation application and use cases. That allows engineers to group components into power domains that can exist powered down as much as possible, as well as to define power management policy and operating points for DVFS. It also helps to design out the best passage to distribute workloads to processing and reminiscence resources to remain within power and thermal budgets.

    “The power needs to exist 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 beget 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 result of the application utilizing different components at different points in time. Even if the hardware implementation has been designed for low power, the efficacious power consumption is often much higher than expected because the software does not leverage the low-power mechanism provided by the hardware. Thus, a minuscule oversight from the software developer can obviate a power domain from being shut down.”

    To enable early power estimation, IEEE 1801 UPF has defined a touchstone format for system even power models. “This passage UPF power monitors can exist added to architecture models and virtual platforms for software development,” Kogel said. “Architects can resolve and optimize power based on the actual activity, and software developers become sensible of the impact 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 exist refined as more accurate measurements become available.”

    While characterization of system-level power models remain a challenge, it’s feasible power characterization tools could exist enhanced to generate system-level power models.

    Power matters moreThere has never been a more pressing requisite to custody about the power in chips as today because of the rapid rise in data generated by the proliferation of connected sensors and devices.

    “In the days of PCs where the source of power supply used to exist 220V AC, it was everysingle fine,” said Mohammed Fahad, product specialist at Mentor, a Siemens Business. “But with the advent of handheld devices fancy smart phones and tablets, it’s not just that the geometries of the computing devices beget shrunk. The devices are getting loaded with more and more apps and services. Possibilities to fabricate chips at smaller nodes beget enabled the chipmakers to pack billions of transistors on even smaller silicon real-estates. With enormously complex logic going into even tinier chips, the power consumption is getting on the censorious path and often causing chips to parch out. Industry research has create that power is the second most frequent judgement for chip re-spins. Billions of dollars in investment are going down the drain. This is why design companies today beget 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 fancy 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 everysingle pleasurable news. But what if it doesn’t?

    Fahad preeminent 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 exist eliminated. Tools also 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 exist dash well before the code freeze so that it is light to execute 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 exist 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 reminiscence 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 also can help.

    Fundamentally, the key to efficacious 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 dash at the lowest voltage and clock hurry that can deliver the required performance, while functions not currently in use should exist on standby or turned off entirely. To accomplish this, complex chips beget dozens or even hundreds of power domains, each of which controls the operating state for a portion of the design.

    The rules for how these domains can exist manipulated are usually quite complex, and iterating through everysingle feasible legal power combinations in simulation is impractical. One solution to finding and fixing potential problems may require applying existing tools in unusual ways.

    “Rules for which power domains should exist on or off depending on what the chip is doing can exist 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 everysingle conditions or report bugs. Finding and fixing power-related issues pre-silicon is censorious to avoid a chip that doesn’t toil because key functions are powered down, or one that suffers thermal breakdown when too much of the chip is turned on at the very time.”

    For this, power estimation isn’t enough. “It’s not that they shouldn’t finish anything at the RTL,” said Madgy Abadir, vice president of marketing at Helic. “You can dash some RTL power estimation and finish things fancy that, but it is not sufficient. Anything you can finish to help on your design at the RTL is always a plus, but it’s not going to exist the replete answer. Especially at the physical level, there are phenomena such as thermal and electromagnetic effects, and these effects can only exist seen once the layout is complete. Once you beget 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 discern the effects can you settle if it is acceptable or not. This is not something that can exist characterized early on and just attach it in a library.”

    Especially for high-power-consuming chips fancy GPUs, a lot depends on the application that is running.

    “When people develop GPUs, it’s fancy developing a microprocessor in the stale days,” Abadir said. “They don’t know exactly what applications people will exist running, and it is general-purpose. There might exist many, many customers and applications that would change over time. It may grasp a pair of years for that to Get 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 exist developed. The algorithms are where the optimization needs to happen, and some of it depends on what type of algorithm you requisite to exist 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 kindly of characteristic. Depending on what you’re trying to finish and how pleasurable your software developers are, at the cessation of the day, this is what determines the actual power consumption of the task.”

    This is where erudition of the cessation application really helps. “If I am developing a GPU and beget erudition of the type of application that would dash on my chip eventually, which in a lot of cases people do, they try to finish performance modeling and power modeling in the early stages to design out the architecture — which type and what to do,” he said. “When it comes to power, it’s a very difficult problem. The problem is how to rate power at the tall 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 beget not been done before. Where finish you Get the models? We’re estimating at the tall even how much power is required, and this can exist a guessing game because it’s not accurate and can exist passage off from what happens with the real chips. This is because the actual power consumption has to finish with the actual physical attributes of the chip.”

    Another significant factor is the altenative of algorithm. There may exist several different sorting algorithms, for example, each of which may dash at a different hurry or beget different reminiscence requirements. The tradeoffs here can beget a immense impact on how much power is used, though.

    “As a developer of the chip, at the RTL what finish I do? I developed the GPU that can add and multiply, skedaddle through reminiscence and Get things to operate in parallel, beget multiple threads,” Abadir said. “Most of the techniques for lowering the power promote in the implementation stage for these type of chips, so doing it early requires control of the application. I requisite 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 exist 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 everysingle 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 unusual currency is data, and processing that data quickly with blazing speedy throughput and access to reminiscence 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 exact for processing continue to rise.

    Related Stories

    Power Modeling And Analysis

    Taming NBTI To help Device Reliability

    Designing For Ultra-Low-Power IoT Devices



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