• Can HPE GreenLake for HPC Deliver a Simpler User Experience than Public Cloud?

    [Sponsored Post] When looking for a simple HPC user experience, many of us would naturally think of public cloud. But on-premises solutions like HPE GreenLake for HPC, powered by AMD EPYC processors, have picked up the advantages of public cloud without compromising performance. HPE GreenLake for HPC is designed to help you get the benefits of HPC without the deployment challenges. It’s a consumption-based solution that is fully managed and operated for you, just like public cloud.

Featured Stories

  • Daimler Selects Green Data Center for HPC

    Stuttgart, Germany – November 30, 2021: Daimler has selected consulting firm Infosys (NSE, BSE, NYSE: INFY) to transfer the car maker’s high performance computing (HPC) workloads for designing vehicles and automated driving technologies to the Norwegian green colo, Lefdal Mine Datacenter. The shift to Green Data Center as a Service supports Daimler deliver on its sustainability mission to become CO2 neutral by 2039. Data centers currently account for around 1 [READ MORE…]

  • Innovation Accelerated: Step Into Intel’s SC’21 Virtual Experience

    [Sponsored Post] Get the latest Intel and community technology updates in the virtual HPC + AI Pavilion for Supercomputing 2021. Catch the demos, fireside chats, partner presentations, developer-led talks and Intel keynote at whatever time works best for you.

  • Thoughts on SC21: Exascale, TOP500, Diversity in HPC, Quantum, the Metaverse

    https://youtu.be/QzW-TdDoo2o We pulled together a quartet of HPC thought leaders from the technology analyst and national lab communities to gather their reflections on SC21, ranging from big-picture insights on how the event reflects the state of HPC to the keynotes, sessions and announcements they think were particularly notable. Topics covered: The need for diversity in recruiting the next generation of HPC leaders, convergence of HPC and AI, exascale in China, [READ MORE…]

  • NVIDIA Long-Haul InfiniBand at Purdue University – Extending Accelerated Research Across Campus

    [Sponsored Post] For data-driven researchers, the time-related expense of moving data from machines between data centers slows computation and causes costly delays in results. Plus, data center space can be limited for many organizations, even  well-established academic campuses. To address these issues, Purdue University deployed NVIDIA InfiniBand MetroX across campus in 2011, connecting remote computation clusters to remote storage facilities.

Featured Resource

Modern HPC and Big Data Design Strategies for Data Centers

This insideHPC Special Research Report provides an overview of what to consider when selecting an infrastructure capable of meeting the new workload processing needs. Tyan has a wide range of bare bones server and storage hardware solutions  available for organizations and enterprise customers.

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

  • The Future of AI is the Edge; Can GPUs Take the Heat?
    In this special guest feature, Ludovic Larzul, Founder and CEO, Mipsology, describes how in the future, AI will be everywhere. And though some computation will continue to take place in data centers, more will happen at the edge. There is just no other way for smart consumer devices, smart city applications and autonomous cars to […]

Editor’s Choice

  • insideHPC and OrionX.net Launch the @HPCpodcast — episode 1

    insideHPC in association with the technology analyst firm OrionX.net today announced the launch of the @HPCpodcast, featuring OrionX.net analyst Shahin Khan and Doug Black, insideHPC’s editor-in-chief. @HPCpodcast is intended to be a lively and informative forum examining key technology trends driving high performance computing and artificial intelligence. Each podcast will feature Khan and Blacks’ comments on the latest HPC news and also a deeper dive into a focused topic. In our first @HPCpodcast episode, we talk about a recent spate of good news for Intel before taking up one of the hottest areas of the advanced computing arena: new HPC-AI [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 times and more speed-ups and could “potentially replace simulations.” Surrogates can be looked at as an end-around to two big problems associated [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…]

  • The US-China Supercomputing Race, Post-Exascale HPC Government Policy and the ‘Partitioning of the Internet’

    All over the world, HPC has burst into geopolitics. HPC – broadly defined here as advanced supercomputing combined with big AI – is at the fault lines of national and regional rivalries, particularly between the U.S. and China, expanding in power, cost, intensity and in potential impact. Which is to say that global players put supercomputing at the heart of their defense, surveillance, healthcare and economic competitiveness strategies. Is it going too far to say that supercomputing now plays a role similar to the nuclear arms and space races in the Cold War era? Just as Sputnik spurred U.S. determination [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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