• Scalable Inferencing for Autonomous Trucking

    In this sponsored post, Tim Miller, Vice President, Product Marketing, One Stop Systems, discusses autonomous trucking and that to achieve AI Level 4 (no driver) in the vehicles, powerful AI inference hardware supporting many different inferencing engines operating and coordinating simultaneously is required.

Featured Stories

  • Cerebras Claims Record for Largest AI Models Trained on a Single Device

    SUNNYVALE, Calif., June 22, 2022 — AI computing company Cerebras Systems today announced that  a single Cerebras CS-2 system is able to train models with up to 20 billion parameters on – something not possible on any other single device, according to the company. By enabling a single CS-2 to train these models, Cerebras said it has reduced the system engineering time necessary to run large natural language processing (NLP) [READ MORE…]

  • @HPCpodcast: Google’s Lifelike LaMDA AI Chatbot and Questions of Being or Nothingness

    When a tech news story gets talked about on sports radio, you know it’s gone very viral. That’s what happened last week with the story about a Google engineer, Blake Lemoine, who declared that the company’s AI chatbot, LaMDA, is a person with rights. Lemoine promptly got suspended by Google for his trouble, and he says he won’t be surprised if he gets fired. In this episode of the @HPCpodcast, [READ MORE…]

  • PRACE Announces Winner of Inaugural €20,000 HPC Excellence Award

    June 20, 2022 — The Partnership for Advanced Computing in Europe (PRACE) has announced that the first edition of the PRACE HPC Excellence Award has been awarded to the team of Nicola Marzari of EPFL (École polytechnique fédérale de Lausanne) and NCCR MARVEL (a centre on Computational Design and Discovery of Novel Materials created by the Swiss National Science Foundation). The award recognizes an “outstanding individual or team for ground-breaking research that leads [READ MORE…]

  • insideHPC’s Exclusive ISC 2022 Video Interviews

    Check out our exclusive video interviews from the ISC 2022 conference! You can find them on the right side of our home page. They include: AMD – An update on the EPYC CPUs and Instinct GPUs powering the new no. 1 supercomputer, Frontier, which is also the first HPC system to exascale-certified, along with the Xilinx VCK5000 development board. Atos – We speak with Atos’ new head of advanced computing, [READ MORE…]

Featured Resource

Be (More) Wrong Faster – Dumbing Down Artificial Intelligence with Bad Data

In this white paper, our friends over at Profisee discuss how Master Data Management (MDM) will put your organization on the fast track to automating processes and decisions while minimizing  resource requirements, while simultaneously eliminating the risks associated with feeding AI and ML data  that is not fully trusted. In turn, your digital business transformation will be accelerated and your competitive  edge will be rock solid.

HPC Newsline

Industry Perspectives

  • HPC: Stop Scaling the Hard Way

    …today’s situation is clear: HPC is struggling with reliability at scale. Well over 10 years ago, Google proved that commodity hardware was both cheaper and more effective for hyperscale processing when controlled by software-defined systems, yet the HPC market persists with its old-school, hardware-based paradigm. Perhaps this is due to prevailing industry momentum or working within the collective comfort zone of established practices. Either way, hardware-centric approaches to storage resiliency need to go.

  • New, Open DPC++ Extensions Complement SYCL and C++

    In this guest article, our friends at Intel discuss how accelerated computing has diversified over the past several years given advances in CPU, GPU, FPGA, and AI technologies. This innovation drives the need for an open and cross-platform language that allows developers to realize the potential of new hardware, minimizes development cost and complexity, and maximizes reuse of their software investments.

RSS Featured from insideBIGDATA

  • “Above the Trend Line” – Your Industry Rumor Central for 6/23/2022
    Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and […]

Editor’s Choice

  • Frontier Named No. 1 Supercomputer on TOP500 List and ‘First True Exascale Machine’

    Hamburg — This morning, AMD’s long comeback from trampled HPC also-ran – a comeback that began in 2017 when company executives told skeptical press and industry analysts to expect price/performance chip superiority over Intel – reached a high point (not to say an end point) with the news that the U.S. Department of Energy’s Frontier supercomputer, an HPE-Cray EX system powered by AMD CPUs and GPUs, has not only been named the world’s most powerful supercomputer, it also is the first system to exceed the exascale (1018 calculations/second) milestone. This may not come as a  surprise to many in the [READ MORE…]

  • Chip Geopolitics: If China Invades, Make Taiwan ‘Unwantable’ by Destroying TSMC, Military Paper Suggests

    US military planners are taking notice of a suggestion by two military scholars calling for the destruction of semiconductor foundry company Taiwan Semiconductor Manufacturing Co. (TSMC), whose fabs produce advanced microprocessors used in HPC and AI, in the event China invades the island nation A news story in today’ edition of Data Center Times cites the Nikkei Asia news service and a paper in the U.S. Army War College’s scholarly journal, Parameters, discussing the possibility of Taiwan adopting “’a scorched earth policy’ and wipe out its own semiconductor foundries in the wake of any Chinese invasion as a deterrent, U.S. [READ MORE…]

  • How Machine Learning Is Revolutionizing HPC Simulations

    Physics-based simulations, that staple of traditional HPC, may be evolving toward an emerging, AI-based technique that could radically accelerate simulation runs while cutting costs. Called “surrogate machine learning models,” the topic was a focal point in a keynote on Tuesday at the International Conference on Parallel Processing by Argonne National Lab’s Rick Stevens. Stevens, ANL’s associate laboratory director for computing, environment and life sciences, said early work in “surrogates,” as the technique is called, shows tens of thousands of times (and more) speed-ups and could “potentially replace simulations.” Surrogates can be looked at as an end-around to two big problems [READ MORE…]

  • Double-precision CPUs vs. Single-precision GPUs; HPL vs. HPL-AI HPC Benchmarks; Traditional vs. AI Supercomputers

    If you’ve wondered why GPUs are faster than CPUs, in part it’s because GPUs are asked to do less – or, to be more precise, to be less precise. Next question: So if GPUs are faster than CPUs, why aren’t GPUs  the mainstream, baseline processor used in HPC server clusters? Again, in part it gets back to precision. In many workload types, particularly traditional HPC workloads, GPUs aren’t precise enough. Final question: So if GPUs and AI are inextricably linked, particularly for training machine learning models, and if GPUs are less precise than CPUs, does that mean AI is imprecise? [READ MORE…]

  • 6,000 GPUs: Perlmutter to Deliver 4 Exaflops, Top Spot in AI Supercomputing

    The U.S. National Energy Research Scientific Computing Center today unveiled the Perlmutter HPC system, a beast of a machine powered by 6,159 Nvidia A100 GPUs and delivering 4 exaflops of mixed precision performance. Perlmutter is based on the HPE Cray Shasta platform, including Slingshot interconnect, a heterogeneous system with both GPU-accelerated and CPU-only nodes. The system is being installed in two phases – today’s unveiling is Phase 1, which includes the system’s GPU-accelerated nodes and scratch file system. Phase 2 will add CPU-only nodes later in 2021. “That makes Perlmutter the fastest system on the planet on the 16- and 32-bit [READ MORE…]

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