IEEE, IEEE Computer Society and ISC Join on Access to ISC Research Papers

By Nages Sieslack, ISC Communications Team Oct. 2, 2023 — I had the opportunity to talk with Prof. Michela Taufer, the ISC 2024 Program Chair, to get an update on the event’s progress. Prof. Taufer has been in this position for three months and has significantly contributed to the ISC technical program. I was impressed […]

HPC News Bytes 20231002: Lisa Su on AMD-NVIDIA GPU Competition; ASML EUV at Intel Fab in Ireland; AI Job Elimination; SC23 Coming up

A happy October morning to you! Our lineup of quick (4:36) commentary on recent HPC news includes: AMD’s Lisa Su on the AMD-NVIDIA GPU competition; ASML EUV at Intel-4 fab in Ireland starts volume production; AI’s job elimination impact; SC23 is coming Nov 12-17….

HPC, AI, ML and Edge Solutions Drive Duos Railcar Inspection System Powered by Dell Technologies and Kalray

Industries such as railways are moving from traditional inspection methods to using AI and ML to perform automated inspection of railcars. Data streaming from the edge at high rates requires the compute power of a HPC cluster, storage and advanced analytics to return results in real time. The system also must effectively enable remote administration and management to ensure reliable….

Atropos Health in Clinical Development Agreement with Janssen R&D

PALO ALTO, CA – September 27, 2023 – Data-driven healthcare company Atropos Health announced an agreement with Janssen Research & Development, LLC (Janssen), a Johnson & Johnson company, aimed at helping accelerate clinical development with real-world data analysis. Building upon an existing collaboration, under the new agreement, Atropos and Janssen data scientists will utilize Atropos’s […]

Argonne Preps Aurora for Exascale Simulations of Nuclear Reactors

Researchers at Argonne National Laboratory are preparing to use Aurora, the laboratory’s upcoming exascale supercomputer, to delve into the inner mechanics of a variety of nuclear reactor models. These simulations promise an unprecedented level of detail, offering insights that could revolutionize reactor design by improving understanding of the intricate heat flows….

HPC User Forum: ‘Lawyers Who Use AI Will Replace Lawyers Who Don’t’

“Lawyers who use AI will replace lawyers who don’t.” That was the coda of a presentation given at the recent HPC User Forum in Tucson by Arizona State University law professor Gary Marchant, a graduate of Harvard Law School and a professor at ASU since 1999. Marchant’s presentation at the Forum, hosted by Hyperion Research, was one of the conference’s most talked-about sessions. In this interview, Marchant shares his observations on how generative AI and large language models….

NVIDIA-Powered CoreWeave and VAST Data Partner on Public Cloud for GenAI, HPC

VAST Data and CoreWeave today announced a partnership to build an NVIDIA GPU-powered computing cloud for generative AI, high performance computing and visual effects workloads. Startup CoreWeave is a GPU cloud services provider that has attracted more than $400 million in investment funding (including $100 million from NVIDIA and $200 million from….

Exascale Early Adopter Series Webinar Sept. 27: Optimizing SYCL Workloads on Aurora and Sunspot

On Wednesday, Sept. 27 at 11 am Central Time, Varsha Madananth, an applications engineer at Intel, will lead an online webinar on optimizing SYCL workloads for PVC on the Aurora exascale system and the Sunspot testbed system. Registration is here, virtual meeting information will follow. This webinar will delve into a range of optimization strategies, […]

HPC News Bytes 20230925: Intel to Build AI Supercomputer, SambaNova’s AI Chip, AFRL’s 12 PFLOP System, Nuclear Power for HPC

Happy belated autumnal equinox to you! Here’s a jaunt (4:46) through recent HPC news: Intel to build an AI supercomputer for Stability AI; Intel in AI collaboration with Dell; Samba Nova’s new AI chip; the Air Force’s 12 PFlop system; modular nuclear reactors for data centers; $238 million in DOD CHIPS & Science Act awards.

Large Language Models: The Largeness, the Power and the ‘Emergent’ Mystery

Large language models fit the classic model of a red-hot technology in an early stage of commercial viability: there’s more talk about it than knowledge, and FOMO – the fear that your competitors are implementing it at your peril – is helping to drive explosive demand. There’s also an allure and mystery around LLMs: some of the awe-inspiring “zero shot” things they do surprise even the data scientists who trained the models (more on this below). Against this backdrop….