Breaking the ICE at Livermore: ICECap to Use Exascale Fusion Simulations for Digital Design

A multidisciplinary team of Lawrence Livermore National Laboratory researchers is combining the power of exascale computing with AI, advanced workflows and GPU-acceleration with the intent to advance scientific innovation and revolutionize digital design.

Lenovo Launches ‘100%’ Liquid Cooled Platforms with Nvidia for GenAI

Lenovo called the 6th generation ThinkSystem N1380 Neptune a “vertical liquid cooling breakthrough” that supports accelerated computing while reducing power consumption by up to 40 percent… Lenovo, of course, has long been active in liquid cooling ….

Sept. 29 Registration Deadline for ALCF Virtual Intro to AI-driven Science on Supercomputers

Sept. 13, 2024: The Argonne Leadership Computing Facility will host a seven-week virtual training series for  undergraduates and graduates on the fundamentals of applying world-class supercomputers to advance the use of AI for research. Please share this opportunity with university students that you think will be interested.  The series will be held on Tuesdays from […]

DOE Announces $68M for AI for Scientific Research

September 5, 2024, WASHINGTON, D.C. – The U.S. Department of Energy announced $68 million in funding for 11 AI for science multi-institution projects, comprising 43 awards lasting up to three years, with $20 million in Fiscal Year 2024 dollars and outyear funding contingent on congressional appropriations. The list of projects and more information can be […]

DOE Announces AI for Science Roadmap

Washington, DC, July 16, 2024 — The U.S. Department of Energy announced a roadmap for the Frontiers in Artificial Intelligence for Science, Security, and Technology (FASST) in which the agency and its 17 national labs “aims to build the world’s most powerful integrated scientific AI systems for science, energy, and national security, in collaboration with […]

Oak Ridge Lab: Researchers Use AI for Autonomous Discovery and Optimization of Materials

Researchers are developing ways to accelerate discovery by combining automated experiments, artificial intelligence and high-performance computing. A novel tool developed at Oak Ridge National Laboratory that leverages those technologies has demonstrated that AI can influence materials synthesis and conduct associated experiments without human supervision. This autonomous materials synthesis tool uses pulsed laser deposition, or PLD, to deposit […]

NERSC Call for Proposals: Generative AI for Science, April 1 Deadline

NERSC is inviting proposals for projects that will leverage NERSC’s Perlmutter supercomputer to push the state of the art in Generative AI (GenAI) and deep learning for science and produce novel science outcomes.  We are specifically seeking teams with expertise using deep learning for science, a deep understanding of the scientific domain, and demonstrated proofs-of-concept. NERSC staff […]

HPC News Bytes 20230918: New AMD CPUs and Intel FPGAs, Arm’s IPO and Strategic Pivot, AI for Science

A happy mid-September morning to you. Here’s a hop (4:54) through recent HPC news, including: AMD launches EPYC 8004 CPUs for energy- and space-constrained workloads; Intel announces FPGAs going into its Innovation 2023 event; Arm’s successful IPO and strategic pivot; a report on AI for science….

Livermore Lab Team Boosts Trust in AI for Science by Making Machine Learning Explainable

As machine learning techniques become increasingly used in the sciences, a team of researchers in Lawrence Livermore National Laboratory’s Computing and Physical and Life Sciences directorates are trying to provide a reasonable starting place for scientists who want to apply machine learning but lack a strong ML background. The goal is to help users understand […]

HPE to Build 67 PFLOPS TSUBAME4.0 HPC for AI-Driven Science at Tokyo Tech

TOKYO – May 19, 2023 – Hewlett Packard Enterprise (NYSE: HPE) today announced that it was selected by Tokyo Institute of Technology (Tokyo Tech) Global Scientific Information and Computing Center (GSIC) to build its next-generation supercomputer, TSUBAME4.0, to accelerate AI-driven scientific discovery in medicine, materials science, climate research, and turbulence in urban environments. TSUBAME4.0 will be built using HPE […]