Lenovo Brings a Decade of Liquid Cooling Experience to the Faster, Denser, Hotter HPC Systems of the Future
[SPONSORED CONTENT] HPC systems customers (and vendors) are in permanent pursuit of more compute power with equal or greater node density. But with that comes more power consumption, greater heat generation and rising cooling costs. Because of this, the IT business – with a boost from the HPC and hyperscale segments – is spiraling up the list of industries ranked by power consumption. According to ITProPortal, data center power use is expected to jump 50 percent by 2030. The combination of higher electrical consumption and costs, and higher carbon emissions is viewed with increasing alarm, and has become a limiting [READ MORE…]
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insideHPC invites you to take our reader survey, your feedback will help us keep publishing relevant content that HPC users and vendors need. In return for your generosity, you’ll be entered into a drawing for a $200 Amazon gift card. The survey only takes about five minutes to complete and will be greatly appreciated by everyone at insideHPC!
@HPCpodcast: Equity, Diversity and Inclusion Strategies – A How-to Guide for HPC Managers
While it’s safe to assume that most senior managers in the HPC community are in favor of hiring and promoting more women and people of color within their organizations, many don’t know how to make it happen. At last week’s annual meeting of the Dell Technologies HPC Community, Melyssa Fratkin of the Texas Advanced Computing Center offered this piece of advice: using same-old-same-old hiring practices won’t work.
Quantinuum Says It’s Near Quantum Error Correction Break-even Point
Quantinuum, which joins Cambridge Quantum software with Honeywell Quantum trapped-ion hardware, today announced it is close to a breakeven point in quantum error correction.
Exascale: ECP’s QMCPACK Project for Predicting and Controlling Materials
In this episode of the Let’s Talk Exascale podcast, produced by DOE’s Exascale Computing Project, the topic is an ECP subproject called QMCPACK, which aims to find, predict, and control materials from first principles with predictive accuracy. This episode offers a conversation with QMCPACK’s principle investigator, Paul Kent, a distinguished R&D staff member at Oak Ridge National Laboratory. The discussion
Featured Resource
Sponsored by: Dell_NvidiaUsing Workstations To Reshape Your Artificial Intelligence Infrastructure
The study results summarized in this white paper show that firms are already using workstations to lower the cost, increase the security, and speed up their AI infrastructure. The addition of workstations into a firms AI workflow allows servers and cloud platforms to be tasked with business cases that require more robust computing while workstations take on tasks with longer time frames and smaller budgets.
Industry Perspectives
…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.
Featured from insideBIGDATA
- Climate Change is an Existential Threat, and Businesses Need Data to Fight ItIn this contributed article, Or Lenchner, CEO, Bright Data, examines how public web data collection is essential to ESG efforts in 2022. The recent International Panel on Climate Change report warned that we aren’t doing enough to avoid the dire impacts of climate change – businesses must use every tool at their disposal to support […]
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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…]
