IBM launched its Power8 lineup of superscalar symmetric multiprocessors back in August 2013 at the Hot Chips conference, and the first systems became available in August 2014. The announcement was significant because it signaled the beginning of a continuing partnership between IBM and Nvidia to develop GPU-accelerated IBM server systems, beginning with the Tesla K40 GPU.

The result was an HPC “tag-team” where IBM’s Power8 architecture, a 12-core chip with 96MB of embedded memory, would eventually go on to power Nvidia’s next-generation Pascal architecture which debuted in April 2016 at the company’s GPU Technology Conference.

NVLINK, first announced in March 2014, uses a proprietary High-Speed Signaling interconnect (NVHS) developed by Nvidia. The company says NVHS transmits data over a differential pair running at up to 20Gbps, so eight of these differential 20Gbps connections will form a 160Gbps “Sub-Link” that sends data in one direction. Two sub-links—one for each direction—will form a 320Gbps, or 40GB/s bi-directional “Link” that connects processors together in a mesh framework (GPU-to-GPU or GPU-to-CPU).

NVLINK lanes upgrade from 20Gbps to 25Gbps

IBM is projecting its Power9 servers to be available beginning in the middle of 2017, with PCWorld reporting that the new processor lineup will include support for NVLINK 2.0 technology. Each NVLINK lane will communicate at 25Gbps, up from 20Gbps in the first iteration. With eight differential lanes, this translates to a 400Gbps (50GB/s) bi-directional link between CPUs and GPUs, or about 25 percent more performance if the information is correct.

NVLINK 2.0 capable servers arriving next year

Meanwhile, Nvidia has yet to release any NVLINK 2.0-capable GPUs, but a company presentation slide in Korean language suggests that the technology will first appear in Volta GPUs which are also scheduled for release sometime next year. We were originally under the impression that the new GPU architecture would release in 2018, as per Nvidia’s roadmap. But a source hinted last month that Volta would be getting 16nm FinFET treatment and may show up in roughly the same timeframe as AMD’s HBM 2.0-powered Vega sometime in 2017. After all, it is easier for Nvidia to launch sooner if the new architecture is built on the same node as the Pascal lineup.

Still ahead of PCI-Express 4.0

Nvidia claims that PCI-Express 3.0 (32GB/s with x16 bandwidth) significantly limits a GPU’s ability to access a CPU’s memory system and is about “four to five times slower” than its proprietary standard. Even PCI-Express 4.0, releasing later in 2017, is limited to 64GB/s on a slot with x16 bandwidth.

To put this in perspective, Nvidia’s Tesla P100 Accelerator uses four 40GB/s NVLINK ports to connect clusters of GPUs and CPUs, for a total of 160GB/s of bandwidth.

With a generational NVLINK upgrade from 40GB/s to 50GB/s bi-directional links, the company could release a future Volta-based GPU with four 50GB/s NVLINK ports totaling of 200GB/s of bandwidth, well above and beyond the specifications of the new PCI-Express standard.

Courtesy-Fud

While some “fine-tuning” of the self-driving features are needed, passengers, by this fall, should be able to ride around and speak directions to Olli on the private roads at the National Harbor shopping and entertainment area on the Maryland side of the Potomac River, according to a spokeswoman for Local Motors, the designer of Olli.

The vision is that Olli will be used in all kinds of venues, such as crowded urban areas, college and corporate campuses and theme parks. It could also become the “last mile” connection from a subway or bus stop to a job site. Miami-Dade County has ordered two of the vehicles for a pilot project there, said the Local Motors spokeswoman, Jacqueline Keidel.

Olli didn’t give any rides to reporters and bystanders at its Thursday debut, but the vehicle dropped off Local Motors CEO John Rogers with engineers standing by to offer assistance if needed.

“Olli offers a smart, safe and sustainable transportation solution that is long overdue,” Rogers said in a statement, adding that Olli with Watson “acts as our entry into the world of self-driving vehicles.”

Olli is the first vehicle to use cloud-based cognitive computing from IBM Watson Internet of Things to analyze and learn from 30 sensors embedded in the vehicle. Four Watson developer APIs were used that allow Olli to interact with passengers: speech to text, natural language classifier, entity extraction and text to speech.

Since Watson is web-enabled, Olli will also be able to answer questions about popular nearby restaurants or historical sites, at least according to how Local Motors and IBM have described the vehicle’s capabilities.

Green said IBM will expand its Watson IBM research by helping develop and create additional Ollis at Local Motors headquarters near Phoenix and at IBM Watson IoT’s AutoLab, an incubator for cognitive mobility applications. “We have a long term vision with Watson,” Keidel added.

Courtesy-http://www.thegurureview.net/aroundnet-category/ibms-watson-powers-self-driving-shuttle-olli-debuts-in-d-c.html

The company will acquire Israel-based EZSource, it said, in the hopes of helping developers “quickly and easily understand and change mainframe code.”

EZSource offers a visual dashboard that’s designed to ease the process of modernizing applications. Essentially, it exposes application programming interfaces (APIs) so that developers can focus their efforts accordingly.

Developers must often manually check thousands or millions of lines of code, but EZSource’s software instead alerts them to the number of sections of code that access a particular entity, such as a database table, so they can check them to see if updates are needed.

IBM’s purchase is expected to close in the second quarter of 2016. Terms of the deal were not disclosed.

Sixty-eight percent of the world’s production IT workloads run on mainframes, IBM said, amounting to roughly 30 billion business transactions processed each day.

“The mainframe is the backbone of today’s businesses,” said Ross Mauri, general manager for IBM z Systems. “As clients drive their digital transformation, they are seeking the innovation and business value from new applications while leveraging their existing assets and processes.”

EZSource will bring an important capability to the IBM ecosystem, said Patrick Moorhead, president and principal analyst with Moor Insights & Strategy.

“While IBM takes advantage of a legacy architecture with z Systems, it’s important that the software modernizes, and that’s exactly what EZSource does,” Moorhead said.

Large organizations still run a lot of mainframe systems, particularly within the financial-services sector, noted analyst Frank Scavo, president of Computer Economics.

“As these organizations roll out new mobile, social and other digital business experiences, they have no choice but to expose these mainframe systems via APIs,” Scavo said.

But in many large organizations, skilled mainframe developers are in short supply — especially those who really understand these legacy systems, he added.

“Anything to increase the productivity of these developers will go a long way to ensuring the success of their digital business initiatives,” Scavo said. “Automation tools to discover, expose and analyze the inner workings of these legacy apps are really needed.”

It’s a smart move for IBM, he added.

Source- http://www.thegurureview.net/computing-category/looking-to-transform-mainframe-business-ibm-acquires-ezsource.html

Knowledge about threats is often hidden in unstructured sources such as blogs, research reports and documentation, said Kevin Skapinetz, director of strategy for IBM Security.

“Let’s say tomorrow there’s an article about a new type of malware, then a bunch of follow-up blogs,” Skapinetz explained. “Essentially what we’re doing is training Watson not just to understand that those documents exist, but to add context and make connections between them.”

Over the past year, IBM Security’s own experts have been working to teach Watson the “language of cybersecurity,” he said. That’s been accomplished largely by feeding it thousands of documents annotated to help the system understand what a threat is, what it does and what indicators are related, for example.

“You go through the process of annotating documents not just for nouns and verbs, but also what it all means together,” Skapinetz said. “Then Watson can start making associations.”

Now IBM aims to accelerate the training process. This fall, it will begin working with students at universities including California State Polytechnic University at Pomona, Penn State, MIT, New York University and the University of Maryland at Baltimore County along with Canada’s universities of New Brunswick, Ottawa and Waterloo.

Over the course of a year, the program aims to feed up to 15,000 new documents into Watson every month, including threat intelligence reports, cybercrime strategies, threat databases and materials from IBM’s own X-Force research library. X-Force represents 20 years of security research, including details on 8 million spam and phishing attacks and more than 100,000 documented vulnerabilities.

Watson’s natural language processing capabilities will help it make sense of those reams of unstructured data. Its data-mining techniques will help detect outliers, and its graphical presentation tools will help find connections among related data points in different documents, IBM said.

Ultimately, the result will be a cloud service called Watson for Cyber Security that’s designed to provide insights into emerging threats as well as recommendations on how to stop them.

Source-http://www.thegurureview.net/computing-category/ibms-watson-to-get-schooled-on-cybersecurity.html

Groupon filed its lawsuit on Monday with the federal court in its hometown of Chicago, two months after IBM accused Groupon of patent infringement in a separate lawsuit.

“IBM is trying to shed its status as a dial-up-era dinosaur” by infringing the rights of “current” technology companies such as Groupon, according to Groupon spokesman Bill Roberts.

The latest lawsuit concerns IBM’s WebSphere Commerce platform, which Groupon said lets merchants send messages to customers with GPS-enabled devices based on their real-time locations, and their use of social media including Facebook.

Groupon said the platform infringes a December 2010 patent, and that it deserves royalties based on the “billions of dollars” of revenue that Armonk, New York-based IBM has received through its infringement.

“IBM, a relic of once-great 20th Century technology firms, has now resorted to usurping the intellectual property of companies born this millennium,” Groupon said in its lawsuit.

On March 2, IBM accused Groupon in a federal lawsuit in Delaware of infringing four patents, including two related to Prodigy, a late-1980s forerunner to the Internet.

“Over the past three years, IBM has attempted to conclude a fair and reasonable patent license agreement with Groupon, and we are disappointed that Groupon is seeking to divert attention from its patent infringement by suing,” Shelton said.

The Chicago case is Groupon Inc v International Business Machines Corp, U.S. District Court, Northern District of Illinois, No. 16-05064. The Delaware case is International Business Machines Corp v Groupon Inc, U.S. District Court, District of Delaware, No. 16-00122.

Source-http://www.thegurureview.net/aroundnet-category/groupon-gets-into-patent-fight-with-ibm.html

The appeal comes after a ruling at the end of February when SCO’s arguments claiming intellectual property ownership over parts of Unix were rejected by a US district court. That judgment noted that SCO had minimal resources to defend counter-claims filed by IBM due to SCO’s bankruptcy.

In a filing, Judge David Nuffer argued that “the nature of the claims are such that no appellate court would have to decide the same issues more than once if there were any subsequent appeals”, effectively suggesting that the case had more than run its course.

On 1 March, that filing was backed up by the judge’s full explanation, declaring IBM the emphatic victor in the long-running saga.

“IT IS ORDERED AND ADJUDGED that pursuant to the orders of the court entered on July 10, 2013, February 5, 2016, and February 8, 2016, judgment is entered in favour of the defendant and plaintiff’s causes of action are dismissed with prejudice,” stated the document.

Now, though, SCO has filed yet again to appeal that judgment, although the precise grounds it is claiming haven’t yet been disclosed.

SCO is being represented by the not-inexpensive law firm of Boise, Schiller & Flexner, which successfully represented the US government against Microsoft in the antitrust case in the late 1990s. Although SCO is officially bankrupt, it’s unclear who continues to bankroll the case. Its one remaining “asset” is its claims for damages against IBM.

Meanwhile, despite the costs of the case, IBM has fought SCO vigorously, refusing even to throw a few million dollars at the company by way of compensation, which would encourage what remains of the company to pursue other, presumably easier, open source targets.

Courtesy-TheInq

The architecture they have devised ought to be relatively easy to scale, and could therefore form the basis of workable quantum computers in the future – with a bit of “engineering effort” and “an enormous amount of money”, according to Isaac Chuang, professor of physics, electrical engineering and computer science at MIT.

Chuang’s team has put together a prototype comprising the first five quantum bits (or qubits) of a quantum computer. This is being tested on mathematical factoring problems, which could have implications for applications that use factoring as the basis for encryption to keep information, including credit card details, secure.

The proof-of-concept has been applied only to the number 15, but the researchers claim that this is the “first scalable implementation” of quantum computing to solve Shor’s algorithm, a quantum algorithm that can quickly calculate the prime factors of large numbers.

“The team was able to keep the quantum system stable by holding the atoms in an ion trap, where they removed an electron from each atom, thereby charging it. They then held each atom in place with an electric field,” explained MIT.

Chuang added: “That way, we know exactly where that atom is in space. Then we do that with another atom, a few microns away – [a distance] about 100th the width of a human hair.

“By having a number of these atoms together, they can still interact with each other because they’re charged. That interaction lets us perform logic gates, which allow us to realise the primitives of the Shor factoring algorithm. The gates we perform can work on any of these kinds of atoms, no matter how large we make the system.”

Chuang is a pioneer in the field of quantum computing. He designed a quantum computer in 2001 based on one molecule that could be held in ‘superposition’ and manipulated with nuclear magnetic resonance to factor the number 15.

The results represented the first experimental realisation of Shor’s algorithm. But the system wasn’t scalable as it became more difficult to control as more atoms were added.

However, the architecture that Chuang and his team have put together is, he believes, highly scalable and will enable the team to build quantum computing devices capable of solving much bigger mathematical factors.

“It might still cost an enormous amount of money to build, [and] you won’t be building a quantum computer and putting it on your desktop anytime soon, but now it’s much more an engineering effort and not a basic physics question,” said Chuang.

In other quantum computing news this week, the UK government has promised £200m to support engineering and physical sciences PhD students and fuel UK research into quantum technologies, although most of the cash will be spent on Doctoral Training Partnerships rather than trying to build workable quantum computing prototypes.

Courtesy-TheInq

Groupon has built its business model on the use of IBM’s patents, according to the complaint filed Wednesday in the federal court for the District of Delaware. “Despite IBM’s repeated attempts to negotiate, Groupon refuses to take a license, but continues to use IBM’s property,” according to the computing giant, which is asking the court to order Groupon to halt further infringement and pay damages.

IBM alleges that websites under Groupon’s control and its mobile applications use the technology claimed by the patents-in-suit for online local commerce marketplaces to connect merchants to consumers by offering goods and services at a discount.

About a year ago, IBM filed a similar lawsuit around the same patents against online travel company Priceline and three subsidiaries.

To develop the Prodigy online service that IBM launched with partners in the 1980s, the inventors of U.S. patents 5,796,967 and 7,072,849 developed new methods for presenting applications and advertisements in an interactive service that would take advantage of the computing power of each user’s PC and reduce demand on host servers, such as those used by Prodigy, IBM said in its complaint against Groupon.

“The inventors recognized that if applications were structured to be comprised of ‘objects’ of data and program code capable of being processed by a user’s PC, the Prodigy system would be more efficient than conventional systems,” it added.

Groupon is also accused of infringing U.S. Patent No.5,961,601, which was developed to find a better way of preserving state information in Internet communications, such as between an online merchant and a customer, according to IBM. Online merchants can use the state information to keep track of a client’s product and service selections while the client is shopping and then use that information when the client decides to make a purchase, something that stateless Internet communications protocols like HTTP cannot offer, it added.

Source- http://www.thegurureview.net/aroundnet-category/ibm-files-patent-infringement-lawsuit-against-groupon.html 

It is starting to look sales teams for the pair are each trying to show that they can use the technology to reduce the most electricity consumption and production costs.

In its yearly result for 2015, TSMC made an announcement that it is planning to enter mass-production system of chips produced by 16-nano FinFET Compact (FFC) process sometime during 1st quarter of this year. TSMC had finished developing 16-nano FFC process at the end of last year. During the announcement TSMC talked up the fact that its 16-nano FFC process focuses on reducing production cost more than before and implementing low electricity.

TSMC is apparently ready for mass-production of 16-nano FFC process sometime during 1st half of this year and secured Huawei’s affiliate called HiSilicon as its first customer.

HiSilicon’s Kirin 950 that is used for Huawei’s premium Smartphone called Mate 8 is produced by TSMC’s 16-nano FF process. Its A9 Chip, which is used for Apple’s iPhone 6S series, is mass-produced using the 16-nano FinFET Plus (FF+) process that was announced in early 2015. By adding FFC process, TSMC now has three 16-nano processors in action.

Samsung is not far behind it has mass-produced Gen.2 14-nano FinFET using a process called LPP (Low Power Plus). This has 15 per cent lower electricity consumption compared to Gen.1 14-nano process called LPE (Low Power Early).

Samsung Electronics’ 14-nano LPP process was seen in the Exynos 8 OCTA series that is used for Galaxy S7 and Qualcomm’s Snapdragon 820. But Samsung Electronics is also preparing for Gen.3 14-nano FinFET process.

Vice-President Bae Young-chang of Samsung’s LSI Business Department’s Strategy Marketing Team said it will use a process similar to the Gen.2 14-nano process.

Both Samsung and TSMC might have a few problems. It is not clear what the yields of these processes are and this might increase the production costs.

Even if Samsung Electronics and TSMC finish developing 10-nano process at the end of this year and enter mass-production system next year, but they will also have to upgrade their current 14 and 16-nano processes to make them more economic.

Even if 10-nano process is commercialized, there still will be many fabless businesses that will use 14 and 16-nano processes because they are cheaper. While we might see a few flagship phones using the higher priced chips, it might be that we will not see 10nm in the majority of phones for years.

Courtesy-Fud

IBM has announced a major expansion in Europe with the establishment of a new HQ for Watson Internet of Things (IoT).

The Munich site establishes a global headquarters for the Watson IoT program which is dedicated to launching “offerings, capabilities and ecosystem partners” designed to bring the cognitive powers of the company’s game show winning supercomputer to billions of tiny devices and sensors.

Some 1,000 IBM developers, consultants, researchers and designers will join the Munich facility, which the company describes as an “innovation super center”. It is the biggest IBM investment in Europe for over 20 years.

IBM Cloud will power a series of APIs that will allow IoT developers to harness Watson within their devices.

“The IoT will soon be the largest single source of data on the planet, yet almost 90 percent of that data is never acted on,” said Harriet Green, general manager for Watson IoT and Education.

“With its unique abilities to sense, reason and learn, Watson opens the door for enterprises, governments and individuals to finally harness this real-time data, compare it with historical data sets and deep reservoirs of accumulated knowledge, and then find unexpected correlations that generate new insights to benefit business and society alike.”

The APIs were first revealed in September and new ones for the IoT were announced today.

These include the Natural Language Processing API, which contextualizes language from context and is able to respond in the same simple way; Machine Learning Watson API, which can establish patterns in order to perform a repeated task better each time or change the method to suit; Video and Image Analytics API, which can infer information from video feeds; and Text Analytics Watson API, which can glean information from unstructured text data such as Twitter feeds.

The company will also open eight regional centres across four continents to give customers in those territories the opportunity to access information and experiences.

Courtesy-TheInq