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00M-195 IBM Security Solutions Sales Mastery(R) Test v1

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IBM Clarifies Java alternatives Following Oracle License Crackdown | Real Questions and Pass4sure dumps

April 3, 2019 Alex Woodie

IBM i shops which are questioning how to keep their Java environments following Oracle’s recent decision to avert entry to Java runtimes and building tools should still pay close consideration to a few options that IBM is making regarding Java, exceptionally how it influences entry client solutions (ACS).

Oracle is slated to ship a vital security update for Java average edition (SE) eight in every week and a half. but until you've got bought a commercial license for Java SE eight, your business gained’t be getting that update, which might go away your techniques inclined. That’s as a result of in late 2018, Oracle made some rather gigantic changes to the way purchasers will obtain patches and updates for the growing older Java environment.

patrons who run Java SE eight on their domestic computer systems or other personal uses can continue to get hold of periodic updates and protection patches for the runtime ambiance, in keeping with Oracle’s new rules. but corporations who use the Java SE 8 runtime will ought to pony up the money in the event that they need to keep their methods free of protection vulnerabilities, according to Oracle.

“Public updates for Oracle Java SE 8 will remain available for particular person, personal use through at the least the conclusion of 2020,” Oracle states on its web web page. “Public updates for Oracle Java SE eight launched after January 2019 should not purchasable for enterprise, industrial or construction use with out a industrial license.”

The Redwood metropolis, California, enterprise made identical changes to version eleven of the Oracle Java development package (JDK). Oracle says clients “may also not . . . use the courses for any statistics processing or any industrial, construction, or inside company functions apart from setting up, trying out, prototyping, and demonstrating your software.”

So what’s a Java person to do? businesses that need to retain their older Java SE 8 environments should purchase a Java SE Subscription from the Oracle save. The annual subscriptions beginning at $30 per consumer for computer help, $300 per processor for server and cloud environments, and $1,200 per user for Java equipment (including NetBeans, JDeveloper, and enterprise Pack for Eclipse).

Oracle is being criticized for the changes to Java SE 8 and JDK 11 terms, with some users claiming that the changes represent a trap for people that previously used Java SE in production without being asked to pay for it. “For 23 years, developers have downloaded the JDK from Oracle and used it for $free,” writes Stephen Colebourne on his Java weblog. “until you examine the text/warnings/legalese very cautiously you could not even know Oracle JDK is now industrial, and that you're hence at risk of pay Oracle for the usage of this particular JDK in construction.”

but enterprise clients who don’t are looking to pay Oracle do nonetheless have alternatives. For starters, they could improve to newer models of Java. Java SE eight first debuted in 2015 and is currently in frequent use. however Java SE 8 is also considered to be a legacy liberate, with a more recent and superior release accessible, namely Java SE 11, which shipped in September and is considered an extended term free up (LTR). Java SE 12 shipped simply last month, making it just a little eco-friendly still for organisations to use it. anyway, it’s no longer an LTR.

The matter is somewhat advanced on the IBM i server, particularly as a result of IBM has handled Java 8 because the go-to free up of Java SE for a few years (the business edition of Java was renamed Jakarta EE about a 12 months in the past). IBM decided to skip supporting Java SE models 9 and 10 with the IBM i operating device itself, as a result of they had been no longer LTRs. That left Java SE eight because the only game on the town for IBM i, except IBM committed closing year to assist for Java SE 11 in the IBM i OS suitable.

In March, IBM posted a few recommendations on its support web site for the way IBM i users can navigate these alterations to the Java licensing system, especially as it pertains to ACS, which is the business’s strategic client for having access to the IBM i operating programs. (because it runs on home windows, Mac, and Linux computers and not the IBM i OS itself, ACS can aid different Java SE releases that IBM i does not.)

shoppers who run ACS edition can improve to Java SE eleven. IBM shipped that free up of ACS late remaining yr, which brought a few new elements moreover guide for Java SE eleven.

despite the fact, the older edition of ACS,, handiest helps Java SE versions eight, 9, and 10, however no longer Java SE 11. and because Java SE types 9 and 10 are not LTRs and therefore aren't being active supported (i.e. no security updates are coming from Oracle), that leaves Java SE 8 as the best conceivable choice.

The solution suggested by means of IBM is to use OpenJDK, an open supply Java development package. “Oracle has been and is continuing to make their Java know-how obtainable below the open GPL license for OpenJDK and OpenJDK will work with IBM i entry client options,” IBM states in its support document.

IBM i retail outlets have three main options for acquiring the OpenJDK.

the first alternative is to get the OpenJDK and the OpenJ9 JVM from AdoptOpenJDK The OpenJ9 JVM is in line with the OpenJ9 know-how that IBM contributed to open supply again in 2017. (The identify “J9” has nothing to do with Java SE 9 or every other Java edition; the explanation for the J9 nomenclature is coated here).

Secondly, IBM says there’s a “Hotspot” distribution of OpenJDK obtainable from the OpenJDK site that facets an Oracle JVM, in response to IBM. IBM i shops selecting either one of these options may also be guaranteed that they may be maintained in a protracted-time period method, IBM says.

“These OpenJDK distributions [including the OpenJ9 JVM and the “Hotspot” OpenJDK distribution] are being developed with the aid of a team that contains IBM and this crew has committed to making fixes and protection updates purchasable in a timely method for the future at no can charge below the OpenJDK licenses,” IBM states.

When it involves supporting the OpenJ9 JVM obtainable from the AdoptOpenJDK web site, there are two leading alternate options, in line with IBM: supporting oneself throughout the open supply group, or purchasing a support settlement from IBM. IBM has two alternatives for assisting the OpenJ9 JVM (what it calls IBM Runtimes for company), together with the older 5737-F61 providing and the more recent 5737-J49 offering.

there is additionally a 3rd OpenJDK alternative called Corretto, the identify of a brand new task launched by means of Amazon internet services in early 2019. IBM says there are Java SE eight and Java SE eleven distributions purchasable of Corretto accessible for home windows, Mac and Linux working programs, all of which can be supported via ACS. help for this OpenJDK distribution obviously comes from AWS. but this distribution isn't supported through any IBMers and IBM made no statements about how long customers can predict to receive updates for this product.

ACS is quite resilient to distinct Java environments, IBM says, but there are some particulars that IBM i stores may still be on the lookout for, particularly for Java environments like OpenJDK that shouldn't have wizards controlling installations.

because of the dissimilar nature of how distinctive environments might also choose to install Java, IBM i access customer options (IBM i ACS) is terribly bendy and the leisure of this could discuss one of the crucial alternatives with launching IBM i ACS with a lot of Java deployments. In its support document, IBM provided some counsel on how to be sure a easy roll-out of ACS in these distinct Java environments.

For extra counsel, see the IBM ACS and Java support document at

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Java On IBM i: A developing situation

Sandvik and IBM herald the Fourth Industrial Revolution to the Mining trade with IBM Watson | Real Questions and Pass4sure dumps

Barminco, Hindustan Zinc, Petra Diamonds and Vedanta Zinc foreign tap into the Sandvik and IBM relationship to increase operations and safeguard in underground complicated-rock mining

Award-profitable OptiMine® Analytics with IBM Watson IoT for predictive preservation and optimization, analyzes, learns and communicates with device working heaps of feet underground

TAMPERE, Finland and ARMONK, N.Y., April 1, 2019 /PRNewswire/ -- Joint valued clientele of IBM (NYSE: IBM) and Sandvik Mining and Rock technology, one of the most world's largest top rate mining device manufacturers, are tapping the powers of IoT, advanced analytics and synthetic intelligence to know safety, renovation, productiveness and operational effectivity.

The mining and rock excavation trade is beneath starting to be pressure to raise the international give of minerals to meet the needs and expectations of a hastily rising world population. This frequently requires extracting from increasing greater depths, which could make it elaborate to talk and act as integral when device fails or must be serviced.

OptiMine® Analytics transforms information into procedure improvements by the use of predictive insights and actionable dashboards embedded into operation management programs. the use of the analytics capabilities from IBM Watson IoT, this tips management answer permits mining groups to combine equipment and utility information from disparate sources in actual-time, examining patterns within the records to assist increase availability, utilization and performance.

through a series of IBM Design considering workshops, IBM and Sandvik work with customers to strengthen a framework to form choices round facts pushed productivity and predictive maintenance. the use of the Watson IoT technology, Sandvik and IBM have collectively created a platform in a position to agree to the stringent reliability and safety requirements of mining operations. Predictive preservation expertise leveraging IoT sensor statistics has additionally been delivered as a part of this platform.

"Proactively deciding on renovation wants before whatever thing breaks is leading to huge cost and time discount rates," spoke of Patrick Murphy, president, Rock Drills & technologies, Sandvik. "Our award-successful OptiMine® Analytics with IBM Watson IoT options offer their valued clientele a greater finished view of their operations for smarter, safer and more productive work."

Sandvik and IBM customers equivalent to Petra Diamonds and Barminco are the use of IoT to support reduce miner publicity to adverse work environments and boost security.

"Our appropriate priority is the safety of their personnel and if a machine fails underground, they want immediate perception into what's happening in that tunnel," talked about Luctor Roode, executive operations at Petra Diamonds. "With the answer from Sandvik and IBM, they now have precise-time records that enables us to immediately establish the root reason behind the difficulty and act consequently." 

"Leveraging facts is turn into increasingly useful throughout the mining sector. via analytics, computing device discovering and AI, they are seeing new possibilities for accelerated operational efficiency," talked about Paul Muller, chief govt officer, Barminco. "Our partnership with Sandvik's OptiMine® Analytics allows us to quick-track their efforts, leveraging Sandvik's whole-of-fleet information and innate laptop competencies."

OptiMine® Analytics will also be used by way of Vedanta Zinc foreign's Black Mountain Mining (BMM) operations in South Africa's Northern Cape Province, to speed up facts-driven operations for security, effectivity and productiveness for vehicles, loaders and drills. moreover, Hindustan Zinc, probably the most world's greatest integrated producers of zinc, lead and silver has tapped Sandvik to implement a massive digital transformation at its Sindesar Khurd Mine, India, to ensure all required infrastructure and structures can achieve world-class mining defense, effectivity and productivity.

"Sensors and monitoring methods for asset management is only the starting when it involves how artificial intelligence will disrupt the mining industry," talked about Jay Bellissimo, universal supervisor, Cognitive procedure Transformation, IBM world business functions. "creating a solution that turns the records into actionable insights is a fragile depend. It requires an interdisciplinary effort spanning across mining know-how, utility engineering and information science. IBM and Sandvik are now on course to help radically change the mining cost chain with the fusion of cognitive capabilities into miners enterprise and operating processes."

Story continues

Sandvik has been providing options within the mining automation enterprise for many years, with self sustaining operations in more than 60 mines on six continents. This footprint is an important asset to the technique optimization solutions in greater and higher demand. For its part, IBM has been working with leading mining purchasers to infuse cognitive capabilities in their enterprise and working tactics, growing the Cognitive cost Chain for Mining. This multidisciplinary method leverages and expands on the concepts of the fourth industrial revolution by way of assisting miners achieve new efficiency discount rates, without needing to make enormous-scale capital investments.  

Sandvik community Sandvik is a high-tech and global engineering neighborhood providing items and functions that boost consumer productiveness, profitability and safety. They dangle world-main positions in chosen areas – tools and tooling techniques for steel chopping; equipment and equipment, service and technical options for the mining trade and rock excavation in the construction industry; items in advanced stainless steels and special alloys as well as items for industrial heating. In 2018, the community had about forty two,000 employees and revenues of about 100 billion SEK in more than a hundred and sixty nations inside continuing operations.

Sandvik Mining and Rock know-how Sandvik Mining and Rock technology is a business area in the Sandvik group and a global leading enterprise of gadget and equipment, carrier and technical solutions for the mining and construction industries. software areas include rock drilling, rock reducing, crushing and screening, loading and hauling, tunneling, quarrying and breaking and demolition. In 2018, income had been about 43 billion SEK with about 15,000 employees in continuing operations.

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IBM’s Cognitive solutions revenue Slumped. What took place? | Real Questions and Pass4sure dumps

A key part of foreign company Machines' (NYSE:IBM) turnaround effort is cognitive computing, which encompasses synthetic intelligence (AI) together with linked technologies. Watson, IBM's cognitive computing device than debuted by means of successful a game of Jeopardy! in 2011, has been applied to fields together with healthcare, monetary capabilities, and even delusion soccer.

Cognitive computing is a increase business for IBM, but you wouldn't comprehend it looking at the enterprise's third-quarter outcomes. The cognitive solutions segment suffered a 5% revenue decline, even after adjusting for a currency-connected headwind. That sounds like bad information for a company betting its future on AI.

The cognitive solutions section should basically be known as the "cognitive options plus a bunch of different unrelated stuff" segment. It contains Watson and different companies with boom advantage, however also stuff like legacy transaction-processing software. or not it's type of a grab bag of IBM agencies that don't quite healthy into its other segments.

That makes it problematic to tell how smartly IBM's increase organizations are truly doing, and it makes that 5% income decline much less significant.

The IBM Watson logo.

The IBM Watson emblem. image source: IBM.

CFO James Kavanaugh went into some aspect all over the revenue call involving the efficiency of the cognitive solutions business. The segment is broken into two accessories: options software and transaction processing utility.

solutions utility comprises utility aimed at strategic verticals (Kavanaugh singled out the healthcare industry). It also includes some analytics and security offerings, AI like Watson, and blockchain. On proper of all that, "horizontal domains" like collaboration and commerce are additionally covered.

Transaction processing software includes "application that runs mission-crucial workloads leveraging their hardware platform," according to Kavanaugh. this is on the whole on-premises software used through industries like banking, airways, and retail.

Transaction processing application accounted for a minority of cognitive solutions income within the third quarter, however income from that class declined with the aid of eight% 12 months over yr. Kavanaugh cited that, whereas many of the earnings for transaction processing application is annuity-based, the timing of significant offers can have an effect on income. Kavanaugh expects a return to growth, according to a robust pipeline of deals.

The options application element of the phase suffered a three% sales decline, driven with the aid of some areas where IBM is struggling. Secular shifts within the collaboration, commerce, and skill management markets are inflicting problems for the company, and it be been including AI and modernizing its choices to combat those changes. The shift to utility as a provider is additionally putting power on earnings, with revenue being realized over time in place of up entrance.

The ingredients of this segment with long-term increase competencies are the constituents which are growing to be. Watson fitness, the business's effort to observe AI to the healthcare industry, loved extensive-based mostly increase during the third quarter. security grew thanks to the company's large portfolio of products. And the enterprise made some large strikes in the blockchain market.

IBM announced TradeLens, a blockchain-based platform for the international shipping trade, in August. The answer, collectively developed with Maersk, had ninety four individuals on board on the time of the announcement. IBM food have faith, a new blockchain-based mostly platform that makes it possible for meals to be traced from farm to shop, counts Walmart and French grocery store chain Carrefour as contributors. IBM's blockchain efforts are nevertheless in their infancy, but both of those structures have the expertise to develop into significant groups for the company.

With the cognitive solutions phase being dragged down via legacy organizations, the headline performance does not mirror the performance of IBM's extra promising groups.

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How To Build An Automotive Chip | real questions and Pass4sure dumps

The introduction of advanced electronics into automotive design is causing massive disruption in a supply chain that, until very recently, hummed along like a finely tuned sports car.

The rapid push toward autonomous driving has changed everything. This year, Level 3 autonomy will begin hitting the streets, and behind the scenes, work is underway to design SoCs for Level 4. But how these chips get built, by whom, and using what IP isn’t always so obvious.

In the past, the automotive supply chain was simple to explain. OEMs purchased systems and modules from Tier 1 suppliers. From there, Tier 1 suppliers procured semiconductors from chip companies. And for decades, very little changed.

“Everyone in the food chain knew exactly what the design requirements were and the limitations of the available technology,” said Tom Wong, director of marketing, design IP at Cadence. “Automotive quality and reliability are well-known amongst the incumbents. Nowadays, it’s a different situation due to the rapid change in requirements to support applications like in-vehicle-infotainment, wireless connectivity, various forms of ADAS and ML/AI SoCs that provide the computational needs of image processing, object detection and recognition, sensor fusion, etc. We are witnessing OEMs building out SoC design teams, or outsourcing to ASIC design services, or procuring semiconductor IP directly from IP vendors including CPUs, GPUs and DSP cores as well as security solutions.”

Along with those changes, new players have emerged. And all of them are struggling to gain their footing in a century-old industry that is undergoing some radical changes.

“There’s everything from startups to century-old OEMs thinking about doing their own IP and/or their own SoCs to go with that,” said David Fritz, senior autonomous vehicle SoC leader at Mentor, a Siemens Business. “We see the whole gamut. They see companies that are extremely naive about the complexity, all the way to OEMs who are still thinking that the technology as it was last time they tried this back in 1982.”

Add to that a wide range of approaches to technology, and a spectrum of sophistication. Some startups come from the chip world and are using Agile methodologies to develop IP and UVM to verify it. Others are struggling to add electronics expertise, but have a deep understanding of automotive manufacturing.

For the traditional automotive supply chain, decomposing vehicles into little problems that are easy to solve used to be standard operating procedure. But that approach is rapidly running out of gas. “When you take an automobile and decompose it down in the brake controllers and engine controllers, and that sort of thing—that methodology works,” Fritz said. “But when you start throwing in ADAS functionality, autonomous vehicle functionality, AI inferencing after machine learning, that whole paradigm breaks down.”

OEMs have made significant strides to build their own internal system development teams, but significant roadblocks still exist. And on the tech industry side, the situation is equally challenging.

“The OEMs have to take a cleanroom approach because they can’t have the new team that they’re building interface with the people who are working with their suppliers, or they may get sued down the road for IP contamination,” he said, noting that tech companies have their own issues to resolve. “The problem with Silicon Valley is this whole concept of ‘minimum viable product’ works when nobody’s life is at stake. It doesn’t work so much when it’s mission-critical. People can die, and we’re seeing that in Tesla. We’re seeing situations like Uber just barely getting off by a technicality when the company was sued over a wrongful death in an AV in Arizona. This is because they’re saying, ‘Let’s just put it out there.’ This bears resemblance to the Microsoft paradigm that says, ‘We can’t test it all. It’s too complex. Let’s throw it out there and let their customers test it.’ But here we’re talking about the thing that kills more people than guns.”

Other variablesThere are other dynamics at play here, such as the readiness of 7nm technology. Carmakers want to design automotive SoCs using the most advanced foundry processes for AI, in-vehicle-infotainment, in-vehicle networking. This is partly due to the performance and power benefits of these advanced finFET devices, and partly due to the long design cycle. So rather than using a 28nm chip that will be outdated in five years, many of these designs are starting at the bleeding edge.

It’s not clear how those chips will fare under harsh road conditions. It’s also not clear how any of these designs will be affected by the upcoming 2nd Edition of ISO 26262 Functional Safety Standards, which includes Part 11 to specifically address the needs for semiconductors and IP.

The challenge, according to Wong, is achieving quality, reliability and functional safety, which are the three pillars of automotive design.

  • Quality is highly dependent on foundry process and qualification for automotive readiness. That includes high-temperature SPICE models, ESD structure, electromigration analysis and mitigation, and aging analysis, among other things. It also includes automotive design rules such as minimum spacing and width, metal thickness, and recommendations for double vias and over-sized via coverage.
  • Reliability relates to design for high-temperature operations. This is where AEC-Q100 temperature range fits. Grade 2 is -40°C to +105°C ambient, while Grade 1 is -40°C to +125°C ambient. On top of that, power consumption and the relative rise in silicon temperature (junction temperature) has to be factored in, along with considerations for high-temperature operating life (burn in).
  • Functional safety relates to adherence to ISO 26262 standards and the upcoming Edition 2, including Part 11 specifically for IP and semiconductors. This will necessitate training the design team to be knowledgeable and conversant about functional safety (FuSa) to be able to work with auditors in getting the SoC certified for FuSa compliance.
  • Subject to changeThat’s just the starting point, too. Automotive requirements are constantly changing as more electronics are added into vehicles. For example, ML/AI chips likely will interface with GDDR6 memories as opposed to LPDDR4. Camera interfaces likely will stay at MIPI DPHY v1.2 for some time, but will likely migrate to newer MIPI A-PHY standards by 2021/2022. And sensor fusion likely will drive on-vehicle networking speed to above 1Gbps, so even Gigabit Ethernet performance may not be enough. Some designs are using 40Gbps speeds to support the bandwidth requirements needed for L3/L4 systems.

    Also, L4/L5 SoCs for automotive likely will migrate to 7nm, while less complicated ADAS subsystems will remain in 16nm for awhile. Infotainment applications will require a migration from 28nm to 16nm, especially when the applications will move to full 4K display.

    With the automotive semiconductor landscape going through rapid changes due to the disruptions taking place in the automotive industry, Wong expects traditional applications such as engine control unit (ECU), power electronics, ABS and active suspension to stay at more mature semiconductor process nodes. However, newer applications such as vision subsystems (e-mirror, forward camera, blind spot detection, automated parking, etc.), sensor fusion and other autonomous driving chips will require more advanced processes. Chips for autonomous driving (ML/AI) will require the most advanced and bleeding-edge process nodes, and designers will gravitate to the next finer geometry as soon as it becomes available.

    This means that IP designed in 16nm will have to migrated to 7nm a lot sooner than in the past, and deployment of newer IP protocols will also be a lot quicker than in the past.

    “All new high-performance ML/AI SoCs will have GDDR6 memory interfaces or HBM2 interfaces,” Wong said. “LPDDR4 will be replaced by LPDDR4x, and soon after that with LPDDR5. On top of that, automotive SoCs will remain in production for many years, and IP vendors will be expected to archive design bases for 10+ years and keep good documentation for that period of time to maintain design traceability. This is very different than designing IP for consumer applications. Your smartphone may last two to four years, but your car is expected to last at least 10 years. It may no longer be your car, but it will be someone else’s car. Currently, the average age of an automobile in the U.S. is 11.6 years.”

    IP issuesChoosing IP adds its own set of problems. There are companies like Baidu developing their own chips, traditional semiconductor vendors, as well as Tier 1 companies such as Bosch.

    “One of the things that all of these guys deal with is having evidence that the specifications are being followed, both from a process standpoint of how the IP is designed,” said Kurt Shuler, vice president of marketing at Arteris IP. “And then, does the IP meet the technical safety requirements that are being claimed?”

    This requires the IP customer to look closely at their different IP providers. “If I’m licensing some IP, I want to understand in pre-sales what do you have, how did you build it,” said Shuler. “What evidence and work products do you have to prove any claims that you make? Things may go quiet for a while until the design team gets closer to the end of the chip design project and starts doing the work where they have to calculate the diagnostic coverage and FMEDA, maybe some fault injection to validate, some of the assumptions they make in the FMEDA, among other activities.”

    It is imperative for the IP consumer to make sure the right people are having those early conversations.

    “If their customer or prospect has somebody who doesn’t understand functional safety or the specification, and is just going blindly through a checklist, it slows things down,” Shuler said. “So the right subject matter experts must be there.”

    Also needed is a willingness to share information about diagnostic coverage during verification and schedules. IP integrators, meanwhile, need to understand the assumptions for using IP, because unless it’s custom that IP is considered a safety element out of context (SEooC).

    “Whether it’s Arm or Imagination or Synopsys or Cadence or Arteris IP, when they deliver some IP that has functional safety claims, they have assumptions of use for the customer,” Shuler said. “For example, with a piece of soft IP — like a network on chip (NoC) — it generates RTL with an assumption of use that says, ‘You’re going to calculate your own FIT rate.’ It sounds obvious, but they don’t know what semiconductor you’re going to use.”

    That kind of detail is essential. Automotive OEMs want to see specifics about what they are buying for their systems.

    “This goes through the whole food chain and it’s all controlled through ISO 26262, in which they’ve already established all the rules and the documentation,” said John Swanson, Ethernet product line manager for Synopsys IP. “The first automotive chips I worked on, nobody even asked about this stuff. They had to certify the chip, but they didn’t have to certify the IP. That’s obviously changed. You put more and more IP on the chip and it makes sense.”

    Hard vs. soft IPThe OEMs only go so far, though. They don’t distinguish between hard and soft IP, for example.

    “That’s the semiconductor company’s problem,” Swanson said. “They give requirements to the Bosches and the Densos and companies like that, and some of them are very involved in driving standards. Take Continental, for example. They’ve been pushing the high speed networking, so I don’t think [the OEMs] care. It’s a question for the semiconductor provider of whether they can certify all the different pieces.”

    Nevertheless, there are different requirements for hard IP and soft IP. “I would argue hard IP is easier because it’s not configurable, but it’s still a lot of work to make an ASIL-D-ready PHY, for example,” Swanson said.

    This is a significant issue for the IP provider, Shuler noted, because if you’re providing hard IP, “you have the option to provide more information. For example, FIT rates. This is impossible to do with soft IP. You can provide all the ingredients required, and if you’re delivering a hard IP, you also can provide assumptions of use for how this particular block is going to be placed. For instance, if I have a rectangular block and it’s a hard macro and somebody is going to duplicate it, I can put in the assumptions of use such that if you do duplication, you’re going to have the skinny end running east-west for one of them, and the skinny end for the other one running north-south. All those things go into assumptions of use.”

    The SEooC approach grew out of the use of soft IP, Swanson said. “Bosch or Denso, or whoever would invent some sort of basic infotainment system with software features, wanted to put that in as many different cars as possible so they could certify it in a system as a SEooC such that, ‘We know it’s basically going to go in and do this, but they don’t know details, and you as the manufacturer have to certify the details.’ That’s still true of IP. They certify the IP, and the semiconductor companies have to certify the chips. The Tier 1s have to certify the systems, and the OEMs have to certify the cars, and ISO 26262 documents the whole process. So if something does go wrong, you can go back and trace it, find out where it went wrong, and fix it.”

    Related to this is the interaction of different pieces of IP integrated into an automotive SoC. According to ISO 26262, the individual pieces would be certified, and when integrated into a subsystem, that subsystem would need to be certified, as well.

    Fortunately, the description for exactly how to do this is covered in the second edition of ISO 26262. “Realizing that you are going to have IP from a whole bunch of different vendors, and it’s not just your own created IP, from a micro level, there’s guidance for the individual IP vendors,” Shuler said. “At the macro level, that integrator is responsible for looking at things from the system level. They need to make sure that each IP is implemented according to the assumptions of use, because we’re not going to know what the system level is and the functionality that they’re trying to go after. One of the things that is important, coming from a technical standpoint, is that IP at the RTL level connects through transactional interfaces.”

    More complexityAll of this adds cost and complexity. “They have to match the stringent specifications from the OEM, which sits on top of the tiered structure of suppliers, in addition to meeting the different functional safety aspects and the reliability standards,” said Ranjit Adhikary, vice president of marketing at ClioSoft. “Companies targeting the automotive industry have to be prepared to invest 30% to 40% more R&D cost toward creating the SoCs and IPs.”

    On top of that, auto IP developers need to meet standards that will help in shortening the SoC design cycles, and ensure that it works in subsystems, and software the OEM is bringing in. That includes considerations such as latency, power dissipation, area, high reliability and continuous operation, along with process-related design challenges for advanced nodes, Adhikary said. “The IPs developed specifically for the automotive industry also need to be able to withstand the extreme conditions such as higher voltages, higher temperatures, higher electrostatic discharge, and higher test coverage targets.”

    Keith Witek, senior vice president of corporate development & strategy at SiFive, said that IP blocs and SoCs need to be tested an analyzed at each design step and phase, including architecture, RTL, netlist, physical design, validation, place-and-route-and tapeout for faults. If there fault, it also has to be determined how dangerous that fault is.

    “As these defects in the design are detected, they must be iterated, fixed, and documented.  This is needed to get ASIL ratings and comply with ISO 26262,” Witek said. ” The problem with this certification is that ‘after the design,’ testing and compliance is often not possible. The process has to start with auto grad qual/validation/verification in mind and cannot often be fixed at the end at the component level (although a software or system level compliant fix can sometimes be applied). These procedures have been known to add up to two years to some semiconductor designs.”

    Fundamentally, from the perspective of both IP vendor and IP consumer, it is imperative to track the usage of the IPs and ensure all the design collateral is maintained, Adhikary said. “For an IP developer, keeping track of the IP and its variants, associated issues for each variants and their resolutions, environments used for testing, and results, becomes a necessity. For an IP consumer, they need to keep track of where the IP was used, identifying equivalent IPs if needed for substitution, process nodes used to develop the IP, and open issues, if any. For both the IP developer and the vendor, it becomes necessary to have an exhaustive IP ecosystem which can manage a complex matrix of design information and attributes.”

    ConclusionDeveloping IP in the automotive industry is a complex and arduous undertaking. Standards are changing, buyers are from mixed backgrounds, and even then it’s not certain how quickly that IP will be adopted or where it will be used.

    This is not a trivial undertaking, and while the auto market can pay significant dividends for companies that get it right, it’s not always clear how to get there—or what it will take to stay there.

    Related StoriesAutonomous Vehicle Design Begins To Change DirectionIt’s unrealistic to road-test every corner case, so the automotive supply chain is shifting gears.Making Autonomous Vehicles SaferWhat needs to be tested, and what’s the best way to make that happen?Connected Cars: From Chip To CityTomorrow’s vehicle-to-infrastructure network will require a coordinated effort between standards bodies, infrastructure providers, and technology developers.AV Testing Advances Without StandardsWhile U.S. struggles to make rules for self-driving cars, industry works on streamlining validation.Who Will Regulate Autonomous Vehicles Best?How one state is approaching regulation of driverless cars—without addressing whether they are safe.

    St. Petersburg State University Wins Prestigious IBM-Sponsored "Battle of the Brains" | real questions and Pass4sure dumps

    EKATERINBURG, Russia, June 25, 2014 /PRNewswire/ -- Three students from St. Petersburg State University have emerged as World Champions of the 38th Annual World Finals of the ACM International Collegiate Programming Contest (ICPC) sponsored by IBM (NYSE: IBM).  Headquartered at Baylor University and known as the Battle of the Brains, the world's oldest and most prestigious programming competition challenged 122 university teams to solve complex real-world problems under a strict five hour deadline. 

    Hosted by Ural Federal University, the event activities exposed students to key emerging industry trends, such as cognitive computing and IBM's Watson. One of the most significant innovations in IBM's history, Watson is revolutionary in its ability to interact in natural language, process vast and disparate forms of big data and learn from each interaction. Exploring Watson's capabilities was a unique opportunity for the contest participants.

    In a test of teamwork, speed and skill, the contest challenged students to solve the most computer programming problems in the least amount of time. Demonstrating the elite talent of its team members, St. Petersburg State University successfully solved seven problems in five hours. The World Champions return home with "The World's Smartest Trophy," as well as awards and offers of employment or internships with IBM and other leaders of the IT industry.

    "As a leading technology company, IBM recognizes the importance of providing opportunities for students from around the world to discover and embrace the latest technological innovations," said Alain Azagury, Director of IBM Software Group Technical Strategy, Member of IBM Academy of Technology and Sponsorship Executive of the ACM-ICPC. "The ACM-ICPC assembles the world's best computing students and challenges them with scenarios of real world issues. They believe these students are the future leaders of their field and are committed to nurturing their development as they conclude their studies and prepare to enter the global workforce. They hope some of these remarkable problem solvers will contribute to helping us build a smarter, more efficient planet."

    In addition to the contest, participants had the opportunity to explore some of the technologies made in IBM's Research and Development Labs and network with world-leading technology experts. The opportunity for students to discover Ekaterinburg, a vibrant city straddling the European and Asian continents, and interact with peers from around the world completed this once-in-a-lifetime experience. 

    "The ACM-ICPC is a wonderful opportunity for students from around the world to come together, collaborate, and exchange different views and experiences," said Dr. Bill Poucher, ICPC Executive Director and Baylor University Professor. "I am excited to see what these students will do with the mastery they've gained from this contest and from each other as they continue their academic and professional pursuits as ACM members." 

    A live broadcast of the contest, facilitated by SKB Kontur, aired on 

    Moscow State University, Peking University and National Taiwan University finished the competition in second, third and fourth places, all earning the coveted gold medals. The regional champions are New York University (North America Region); St. Petersburg State University (Europe Region); Alexandria University – Faculty of Engineering (Africa and the Middle East Region); Instituto Militar de Engenharia (Latin America Region); Peking University (Asia Region); and University of New South Wales (South Pacific Region).

    This year's top twelve teams that received medals are:

  • St. Petersburg State University (Gold, World Champion)
  • Moscow State University (Gold, 2nd Place)
  • Peking University (Gold, 3rd Place)
  • National Taiwan University (Gold, 4th Place)
  • University of Warsaw (Silver, 5th Place)
  • Shanghai Jiao Tong University (Silver, 6th Place)
  • The University of Tokyo (Silver, 7th Place)
  • University of Zagreb (Silver, 8th Place)
  • St. Petersburg National Research University of IT, Mechanics and Optics (Bronze, 9th Place)
  • National Research University Higher School of Economics (Bronze, 10th Place)
  • Tsinghua University (Bronze, 11th Place)
  • Comenius University (Bronze, 12th Place)
  • The 122 teams that competed in the World Finals emerged from local and regional ICPC competitions held this past fall. Initially, selection took place from a field of more than 300,000 students in computing disciplines worldwide. A record number of students advanced to the regional level, as 32,043 contestants from 2,286 universities in 94 countries on six continents competed at more than 300 sites, all with the goal of earning one of the coveted 122 invitations to Russia.

    About the ACM-ICPC Headquartered at Baylor University, the ACM-ICPC is a global competition among the world's university students, nurturing new generations of talent in the science and art of information technology. For more information about the ACM-ICPC, including downloadable high resolution photographs and videos, the complete World Finals roster and final standings, visit ICPC headquarters and ICPCNews. Additional information can be found via the "Battle of the Brains" podcast series. For IBM's insights, visit the company's University Relations page. Follow the contest on Twitter @BrainBattleICPC and @ICPCNews, #ICPC2014. 

    About IBMIBM is the world's largest information technology and service provider. IBM invests in high business values and strategic markets such as big data analytics, cloud computing and cognitive computing. Made with IBM, these capabilities address the needs of clients and the society. IBM software engineers around the globe work to solve real-world business issues for clients in more than 170 countries. IBM provides industry solutions in areas such as health care, finance, smarter commerce, smarter cities, energy, utility, communications, public service, transportation, manufacturing, and many others.  For more information, visit

    About ACM ACM, the Association for Computing Machinery, is the world's largest educational and scientific computing society, uniting computing educators, researchers and professionals to inspire dialogue, share resources and address the field's challenges. ACM strengthens the computing profession's collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking.

    About Ural Federal University  Ural Federal University is one of the leading research institutions in Russia, focusing on economics, social sciences, humanities, natural sciences and mathematics. Since 2008 it bears the name of its former student, Boris Yeltsin, who in 1991 was elected the first president of the Russian Federation. The university has 18 departments which offer over 120 bachelor's and 80 master's programs. The university's enrollment is over 45,000 students, including more than 6,000 students studying information technologies and computer science. As the host of the 2014 ACM-ICPC World Finals, Ural Federal University becomes the second Russian university to host the contest, following St. Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO), the 2013 host.

    About SKB Kontur SKB Kontur is one of the largest software developers in Russia. The company is a well-known leader in the sphere of software for EDI, technologies for accounting and business administration automation. Founded more than a quarter of a century ago, SKB Kontur continues to grow dynamically. High growth rates are based on innovations developed through its large R&D department. The company's new products are differentiated by original and simple solutions that use unique technologies. Of particular note, 13 ACM-ICPC Ural finalists work at SKB Kontur.

    Media Contact:  Rebecca Masterbone  For the International Collegiate Programming Contest (ICPC) Tierney  (215) 


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    Sair [8 Certification Exam(s) ]
    Salesforce [5 Certification Exam(s) ]
    SANS [1 Certification Exam(s) ]
    SAP [98 Certification Exam(s) ]
    SASInstitute [15 Certification Exam(s) ]
    SAT [1 Certification Exam(s) ]
    SCO [10 Certification Exam(s) ]
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    SDI [3 Certification Exam(s) ]
    See-Beyond [1 Certification Exam(s) ]
    Siemens [1 Certification Exam(s) ]
    Snia [7 Certification Exam(s) ]
    SOA [15 Certification Exam(s) ]
    Social-Work-Board [4 Certification Exam(s) ]
    SpringSource [1 Certification Exam(s) ]
    SUN [63 Certification Exam(s) ]
    SUSE [1 Certification Exam(s) ]
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    Teacher-Certification [4 Certification Exam(s) ]
    The-Open-Group [8 Certification Exam(s) ]
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    VCE [6 Certification Exam(s) ]
    Veeam [2 Certification Exam(s) ]
    Veritas [33 Certification Exam(s) ]
    Vmware [58 Certification Exam(s) ]
    Wonderlic [2 Certification Exam(s) ]
    Worldatwork [2 Certification Exam(s) ]
    XML-Master [3 Certification Exam(s) ]
    Zend [6 Certification Exam(s) ]

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