@HPCpodcast with Shahin Khan and Doug Black – Détails, épisodes et analyse

- IBM demonstrates sub-1nm chip tech
- IBM as we see it
- Executive orders for quantum innovation and risk mitigation
- US, UK, EU roadmaps for PQC readiness
- ORNL next-gen supercomputer Discovery’s Center for Accelerated Application Readiness (CAAR)

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The new TOP500 list of the most powerful supercomputers was released today at the ISC conference, with a surprising new system in the top spot.  After nearly a decade of staying on the sidelines, China re-entered the race with the first system to exceed 2 exaflops in 64-bits on the HPL benchmark.  As usual, Shahin and Doug go through the list and the stats with their commentary and analysis, looking at key takeaways, how continents, companies, and architectures fare, and they cover HPL, Green500, HPL-MxP, and HPCG.

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Olivier Ezratty, one of the most respected independent voices in quantum technologies, is the special guest of the @HPCpodcast in a lively, candid, and wide-ranging discussion of the state of the quantum industry.

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SC24 is off to a great start with over 17,000 attendees, 480 exhibitors from 29 countries, and new TOP500 list that features a new champion! "The new El Capitan system at the Lawrence Livermore National Laboratory in California, U.S.A., has debuted as the most powerful system on the list with an HPL score of 1.742 EFlop/s." Join Shahin and Doug as they analyze and discuss the new list. As usual, they go over notable additions, performance efficiency, power efficiency in the Green500 list, the difficult HPCG benchmark that usually sets the lower bound of system performance.

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- Supercocmputing-24 conference starts today
- TSMC, CHIPS Act, semiconductor demand
- Sandia National Lab and Cerebras

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A lively discussion about the Age of Computation, Ultra Ethernet, datacenter power and cooling, the creative process for AI, model certainty for AI, AI and emergent behavior, and other HPC topics.

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- TSMC revenue jump
- TSMC barred from making leading-edge chips abroad
- AMD-Fujitsu team up for a new superchip?
- AMD, Intel, Nvidia datacenter revenue
- Green energy momentum in the US

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Special guest David Kanter of ML Commons joins Shahin Khan and Doug Black to discuss AI performance metrics. In addition to the well-known MLPerf benchmark for AI training, ML Commons provides a growing suite of benchmarks and data sets for AI inference, AI storage, and AI safety. David is a founder, board member of ML Commons and the head of MLPerf benchmarks.

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- India rising
- High Bandwidth Memory (HBM) in short supply
- Novel accelerator architectures
- CHIPS Act funds Extreme Ultra Violet Lithography technology in the US

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- TSMC delivers good news for chip manufacturing in the US
- Denmark builds AI supercomputer with Eviden and Nvidia
- White House tasks NNSA/DOE with assessing AI risk for National Security

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