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000-M195 - IBM Security Solutions Sales Mastery(R) Test v1 - Dump Information

Vendor : IBM
Exam Code : 000-M195
Exam Name : IBM Security Solutions Sales Mastery(R) Test v1
Questions and Answers : 47 Q & A
Updated On : April 19, 2019
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000-M195 IBM Security Solutions Sales Mastery(R) Test v1

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000-M195 exam Dumps Source : IBM Security Solutions Sales Mastery(R) Test v1

Test Code : 000-M195
Test Name : IBM Security Solutions Sales Mastery(R) Test v1
Vendor Name : IBM
Q&A : 47 Real Questions

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IBM IBM Security Solutions Sales

Sandvik and IBM herald the Fourth Industrial Revolution to the Mining business with IBM Watson | killexams.com 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 security in underground tough-rock mining

Award-profitable OptiMine® Analytics with IBM Watson IoT for predictive preservation and optimization, analyzes, learns and communicates with gadget working thousands of ft underground

TAMPERE, Finland and ARMONK, N.Y., April 1, 2019 /PRNewswire/ -- Joint customers of IBM (NYSE: IBM) and Sandvik Mining and Rock technology, one of the vital world's largest top class mining equipment producers, are tapping the powers of IoT, superior analytics and artificial intelligence to recognise protection, protection, productivity and operational efficiency.

The mining and rock excavation industry is below turning out to be power to raise the world supply of minerals to meet the wants and expectations of a abruptly rising world inhabitants. This regularly requires extracting from increasing more advantageous depths, which can make it difficult to speak and act as critical when equipment fails or must be serviced.

OptiMine® Analytics transforms facts into system improvements by means of predictive insights and actionable dashboards embedded into operation management methods. the usage of the analytics capabilities from IBM Watson IoT, this guidance administration solution makes it possible for mining companies to mix device and application statistics from disparate sources in true-time, inspecting patterns within the statistics to assist increase availability, utilization and efficiency.

through a sequence of IBM Design thinking workshops, IBM and Sandvik work with purchasers to enhance a framework to shape choices around records driven productiveness and predictive upkeep. the usage of the Watson IoT technology, Sandvik and IBM have jointly created a platform able to comply with the stringent reliability and safety necessities of mining operations. Predictive renovation know-how leveraging IoT sensor statistics has additionally been brought as a part of this platform.

"Proactively picking maintenance wants before whatever thing breaks is resulting in huge cost and time reductions," stated Patrick Murphy, president, Rock Drills & technologies, Sandvik. "Our award-successful OptiMine® Analytics with IBM Watson IoT options offer our purchasers a extra finished view of their operations for smarter, safer and more productive work."

Sandvik and IBM valued clientele equivalent to Petra Diamonds and Barminco are the use of IoT to assist reduce miner exposure to opposed work environments and increase defense.

"Our correct precedence is the safeguard of our employees and if a computer fails underground, we want instant perception into what's occurring in that tunnel," observed Luctor Roode, government operations at Petra Diamonds. "With the solution from Sandvik and IBM, we've true-time facts that enables us to immediately determine the root cause of the problem and act as a result." 

"Leveraging facts is become increasingly helpful across the mining sector. via analytics, machine studying and AI, we are seeing new probabilities for accelerated operational efficiency," noted Paul Muller, chief govt officer, Barminco. "Our partnership with Sandvik's OptiMine® Analytics allows for us to speedy-tune our efforts, leveraging Sandvik's complete-of-fleet information and innate desktop talents."

OptiMine® Analytics will also be used via Vedanta Zinc international's Black Mountain Mining (BMM) operations in South Africa's Northern Cape Province, to accelerate facts-driven operations for defense, effectivity and productivity for trucks, loaders and drills. additionally, Hindustan Zinc, probably the most world's largest built-in producers of zinc, lead and silver has tapped Sandvik to enforce an enormous digital transformation at its Sindesar Khurd Mine, India, to make certain all required infrastructure and systems can achieve world-class mining safeguard, efficiency and productiveness.

"Sensors and tracking methods for asset administration is simply the beginning when it comes to how synthetic intelligence will disrupt the mining business," talked about Jay Bellissimo, conventional manager, Cognitive procedure Transformation, IBM international company capabilities. "creating an answer that turns the information into actionable insights is a delicate rely. It requires an interdisciplinary effort spanning across mining know-how, utility engineering and data science. IBM and Sandvik are actually on route to aid seriously change the mining value chain with the fusion of cognitive capabilities into miners business and working techniques."

Story continues

Sandvik has been supplying options in the mining automation business for decades, with autonomous operations in additional than 60 mines on six continents. This footprint is a tremendous asset to the procedure optimization options in larger and higher demand. For its half, IBM has been working with leading mining purchasers to infuse cognitive capabilities of their business and operating tactics, creating the Cognitive price Chain for Mining. This multidisciplinary approach leverages and expands on the concepts of the fourth industrial revolution through helping miners obtain new effectivity mark downs, without having to make massive-scale capital investments.  

Sandvik neighborhood Sandvik is a excessive-tech and world engineering group providing items and functions that raise client productiveness, profitability and defense. We cling world-leading positions in selected areas – equipment and tooling programs for metal slicing; gadget and equipment, provider and technical options for the mining industry and rock excavation inside the development industry; items in superior stainless steels and special alloys as well as items for industrial heating. In 2018, the group had about forty two,000 personnel and revenues of about a hundred billion SEK in more than a hundred and sixty nations within continuing operations.

Sandvik Mining and Rock technology Sandvik Mining and Rock expertise is a company area inside the Sandvik group and a global main supplier of equipment and equipment, provider and technical options for the mining and development industries. utility areas encompass rock drilling, rock slicing, crushing and screening, loading and hauling, tunneling, quarrying and breaking and demolition. In 2018, earnings had been about 43 billion SEK with about 15,000 employees in carrying on with operations.

About IBM For extra guidance about IBM capabilities please visit: https://www.ibm.com/services

Contact:Jeannine Kilbride1-860-997-6277jkilbri@us.ibm.com

IBM service provider logo. (PRNewsfoto/IBM)


View customary content material to download multimedia:http://www.prnewswire.com/information-releases/sandvik-and-ibm-usher-in-the-fourth-industrial-revolution-to-the-mining-business-with-ibm-watson-300821186.html

IBM Clarifies Java options Following Oracle License Crackdown | killexams.com Real Questions and Pass4sure dumps

April 3, 2019 Alex Woodie

IBM i shops that are questioning a way to maintain their Java environments following Oracle’s recent decision to restrict entry to Java runtimes and building tools may still pay close consideration to some recommendations that IBM is making regarding Java, specially how it influences access customer options (ACS).

Oracle is slated to ship a important safety replace for Java usual edition (SE) eight in per week and a half. however until you have bought a business license for Java SE eight, your business gained’t be getting that update, which might leave your systems vulnerable. That’s as a result of in late 2018, Oracle made some reasonably huge adjustments to the manner customers will acquire patches and updates for the growing older Java atmosphere.

patrons who run Java SE eight on their domestic computer systems or different personal uses can continue to acquire periodic updates and protection patches for the runtime environment, in keeping with Oracle’s new suggestions. but companies who use the Java SE 8 runtime will should pony up the money in the event that they need to keep their methods freed from safety vulnerabilities, according to Oracle.

“Public updates for Oracle Java SE eight will stay obtainable for individual, personal use via at the least the conclusion of 2020,” Oracle states on its net web page. “Public updates for Oracle Java SE eight released after January 2019 should not available for company, business or production use with no industrial license.”

The Redwood city, California, company made an identical alterations to edition 11 of the Oracle Java building kit (JDK). Oracle says clients “may no longer . . . use the programs for any statistics processing or any industrial, construction, or inner enterprise applications other than establishing, trying out, prototyping, and demonstrating your utility.”

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

Oracle is being criticized for the adjustments to Java SE eight and JDK eleven terms, with some users claiming that the changes constitute a entice for people that up to now used Java SE in creation with out being requested to pay for it. “For 23 years, builders have downloaded the JDK from Oracle and used it for $free,” writes Stephen Colebourne on his Java weblog. “until you read the text/warnings/legalese very carefully you may not even recognise Oracle JDK is now business, and that you are hence liable to pay Oracle for the usage of this certain JDK in creation.”

but enterprise purchasers who don’t are looking to pay Oracle do nevertheless have options. For starters, they can improve to newer types of Java. Java SE eight first debuted in 2015 and is at the moment in frequent use. but Java SE 8 is also regarded to be a legacy liberate, with a newer and enhanced unencumber obtainable, specifically Java SE 11, which shipped in September and is regarded a protracted time period free up (LTR). Java SE 12 shipped simply ultimate month, making it a little bit eco-friendly nevertheless for firms to make use of it. anyway, it’s now not an LTR.

The matter is somewhat advanced on the IBM i server, in particular because IBM has handled Java 8 as the go-to liberate of Java SE for a couple of years (the commercial enterprise version of Java turned into renamed Jakarta EE a couple of year in the past). IBM decided to pass helping Java SE versions 9 and 10 with the IBM i operating gadget itself, as a result of they have been no longer LTRs. That left Java SE eight as the most effective video game on the town for IBM i, except IBM dedicated ultimate 12 months to aid for Java SE 11 in the IBM i OS relevant.

In March, IBM posted several techniques on its support website for the way IBM i users can navigate these changes to the Java licensing method, above all as it pertains to ACS, which is the enterprise’s strategic client for getting access to the IBM i working methods. (because it runs on windows, Mac, and Linux desktops and not the IBM i OS itself, ACS can aid other Java SE releases that IBM i doesn't.)

customers who run ACS edition can improve to Java SE eleven. IBM shipped that unlock of ACS late remaining year, which introduced a couple of new features in addition to assist for Java SE 11.

youngsters, the older edition of ACS,, best helps Java SE models eight, 9, and 10, but no longer Java SE eleven. and because Java SE versions 9 and 10 aren't LTRs and for this reason aren't being active supported (i.e. no protection updates are coming from Oracle), that leaves Java SE 8 because the simplest plausible choice.

The answer counseled through IBM is to use OpenJDK, an open supply Java development equipment. “Oracle has been and is carrying on with to make their Java expertise available beneath the open GPL license for OpenJDK and OpenJDK will work with IBM i entry client options,” IBM states in its assist document.

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

the primary choice is to get the OpenJDK and the OpenJ9 JVM from AdoptOpenJDK The OpenJ9 JVM is according to the OpenJ9 technology that IBM contributed to open source lower back in 2017. (The name “J9” has nothing to do with Java SE 9 or every other Java version; the reason behind the J9 nomenclature is covered right here).

Secondly, IBM says there’s a “Hotspot” distribution of OpenJDK accessible from the OpenJDK web page that features an Oracle JVM, based on IBM. IBM i retail outlets identifying both of these options can also be guaranteed that they should be maintained in a protracted-term manner, IBM says.

“These OpenJDK distributions [including the OpenJ9 JVM and the “Hotspot” OpenJDK distribution] are being constructed by means of a group that comprises IBM and this crew has committed to making fixes and safety updates purchasable in a timely method for the future at no can charge under the OpenJDK licenses,” IBM states.

When it comes to helping the OpenJ9 JVM purchasable from the AdoptOpenJDK website, there are two main alternate options, based on IBM: aiding oneself during the open supply neighborhood, or buying a support settlement from IBM. IBM has two options for assisting the OpenJ9 JVM (what it calls IBM Runtimes for business), including the older 5737-F61 offering and the newer 5737-J49 offering.

there's also a third OpenJDK choice referred to as Corretto, the name of a brand new mission launched by using Amazon web capabilities in early 2019. IBM says there are Java SE eight and Java SE eleven distributions available of Corretto available for home windows, Mac and Linux operating techniques, all of which might be supported by using ACS. guide for this OpenJDK distribution without doubt comes from AWS. however this distribution isn't supported with the aid of any IBMers and IBM made no statements about how long valued clientele can are expecting to get hold of updates for this product.

ACS is rather resilient to distinct Java environments, IBM says, but there are some particulars that IBM i stores should still be in search of, particularly for Java environments like OpenJDK that would not have wizards controlling installations.

because of the multiple nature of how diverse environments may additionally decide to install Java, IBM i entry customer solutions (IBM i ACS) is terribly bendy and the leisure of this may focus on one of the most alternatives with launching IBM i ACS with various Java deployments. In its guide doc, IBM offered some suggestions on the way to be sure a clean roll-out of ACS in these numerous Java environments.

For extra assistance, see the IBM ACS and Java aid doc at www-01.ibm.com/support/docview.wss?uid=ibm10719405.

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IBM’s Cognitive options earnings Slumped. What happened? | killexams.com Real Questions and Pass4sure dumps

A key part of international enterprise Machines' (NYSE:IBM) turnaround effort is cognitive computing, which encompasses artificial intelligence (AI) together with connected applied sciences. Watson, IBM's cognitive computing equipment than debuted by using winning a online game of Jeopardy! in 2011, has been applied to fields including healthcare, monetary capabilities, and even delusion soccer.

Cognitive computing is a increase company for IBM, but you wouldn't know it looking at the company's third-quarter effects. The cognitive solutions phase suffered a 5% profits decline, even after adjusting for a foreign money-related headwind. That appears like bad information for a corporation betting its future on AI.

The cognitive solutions section should still basically be referred to as the "cognitive options plus a bunch of other unrelated stuff" phase. It includes Watson and different businesses with increase talents, however also stuff like legacy transaction-processing utility. or not it's form of a grab bag of IBM agencies that don't rather fit into its other segments.

That makes it complex to tell how well IBM's increase agencies are in fact doing, and it makes that 5% sales decline tons much less meaningful.

The IBM Watson logo.

The IBM Watson brand. graphic source: IBM.

CFO James Kavanaugh went into some detail all over the profits call related to the efficiency of the cognitive solutions company. The phase is damaged into two accessories: options software and transaction processing software.

options application comprises application geared toward strategic verticals (Kavanaugh singled out the healthcare industry). It additionally comprises some analytics and safety offerings, AI like Watson, and blockchain. On good of all that, "horizontal domains" like collaboration and commerce are additionally blanketed.

Transaction processing application comprises "software that runs mission-crucial workloads leveraging our hardware platform," according to Kavanaugh. here is frequently on-premises application used through industries like banking, airways, and retail.

Transaction processing utility accounted for a minority of cognitive options revenue within the third quarter, but profits from that class declined with the aid of eight% yr over yr. Kavanaugh pointed out that, whereas many of the salary for transaction processing software is annuity-based, the timing of gigantic offers can have an effect on revenue. Kavanaugh expects a return to increase, in keeping with a powerful pipeline of deals.

The solutions utility component of the phase suffered a 3% earnings decline, driven with the aid of some areas where IBM is struggling. Secular shifts within the collaboration, commerce, and ability management markets are causing complications for the company, and or not it's been adding AI and modernizing its offerings to combat these changes. The shift to software as a service is additionally placing force on income, with salary being realized over time instead of up front.

The parts of this segment with long-time period increase expertise are the elements which are turning out to be. Watson health, the company's effort to follow AI to the healthcare trade, enjoyed vast-based mostly growth throughout the third quarter. security grew due to the enterprise's titanic portfolio of products. And the enterprise made some huge strikes in the blockchain market.

IBM announced TradeLens, a blockchain-primarily based platform for the international delivery trade, in August. The answer, collectively developed with Maersk, had ninety four individuals on board at the time of the announcement. IBM food believe, a brand new blockchain-based platform that enables food to be traced from farm to store, counts Walmart and French supermarket chain Carrefour as contributors. IBM's blockchain efforts are nevertheless of their infancy, but each of these platforms have the abilities to turn into meaningful corporations for the company.

With the cognitive solutions section being dragged down by means of legacy companies, the headline performance would not reflect the efficiency of IBM's extra promising companies.

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IBM Security Solutions Sales Mastery(R) Test v1

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Krishnan Venkatachary, CFO, Cigniti Technologies | killexams.com real questions and Pass4sure dumps

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St. Petersburg State University Wins Prestigious IBM-Sponsored "Battle of the Brains" | killexams.com 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. We believe these students are the future leaders of our field and are committed to nurturing their development as they conclude their studies and prepare to enter the global workforce. We 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 ICPCLive.com. 

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 www.ibm.com/software.

    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) 790-4385rmasterbone@tierneyagency.com 


    How To Build An Automotive Chip | killexams.com 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. We 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 our 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 our 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 we deliver some IP that has functional safety claims, we 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 we 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 we don’t know details, and you as the manufacturer have to certify the details.’ That’s still true of IP. We 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.

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