November 17, 2024, ATLANTA: The PESO Project, a community-driven effort to promote the development and use of scientific software as an ecosystem, and the Extreme Scale Scientific Software (E4S) development and support team, today announced the release of E4S 24.11. Following is a partial list of highlights in this release: E4S includes 132+ HPC-AI packages […]
Livermore Lab and Oxide Computer Team on Advancing Cloud and HPC Convergence
November 18, 2024 by
SAN FRANCISCO – November 18, 2024 — Oxide Computer Company and Lawrence Livermore National Laboratory (LLNL) today announced a plan to bring on-premises cloud computing capabilities to the Livermore Computing (LC) high performance computing center. The rack-scale Oxide Cloud Computer is intended to allow LLNL to improve the efficiency of operational workloads and provide LC […]
HPC4EI: DOE Announces $3.4M Funding Opportunity and Awards $4M for Energy Innovation Projects
November 14, 2024 by
WASHINGTON, D.C. – The U.S. Department of Energy (DOE) today announced a $4 million federal investment for 10 projects across 8 states that will harness the processing power of the world’s most powerful supercomputers—and the lab experts who operate them—to tackle today’s toughest manufacturing challenges, strengthen America’s manufacturing competitiveness, and move the country closer to an […]
Exascale: Univ. of Maryland Researchers Nominated for Gordon Bell Prize for Extreme Scale LLM Training Using Frontier
November 14, 2024 by
Oct. 12, 2024 — A research team led by the University of Maryland has been nominated for the Association for Computing Machinery’s Gordon Bell Prize. The team is being recognized for developing a scalable, distributed training framework called AxoNN, which leverages GPUs to rapidly train large language models. Winners of the Gordon Bell Prize will […]
E4S: Extreme-Scale Scientific Software Stack Discussions and Demos at SC24
November 12, 2024 by
Nov. 11, 2024: The Extreme-scale Scientific Software Stack (E4S) Project is supported by the US Department of Energy Advanced Scientific Computing Research Office and is a legacy of Exascale Computing Project (ECP). The packages distributed with E4S contain contributions from hundreds of open source community developers. The top-level packages are listed on the E4S Product Information page These […]
Transformative Potential of Confidential Computing to be Explored in SC24 Birds of a Feather Session
November 12, 2024 by
Atlanta – Nov. 12, 2024 – Sylabs, in collaboration with Sandia National Laboratories, will host a Birds of a Feather (BoF) session at SC24 titled Integrating Confidential Computing into High-Performance Cloud Workflows. This interactive session is designed to introduce confidential computing—a cutting-edge approach to securing data while it’s actively in use, not just at rest […]
Exascale: Argonne Deploys Aurora for AI-Driven Protein Design
November 6, 2024 by
Harnessing AI and exascale supercomputing, a research team led by the U.S. Department of Energy’s Argonne National Laboratory has developed a computing framework to speed up the design of new proteins.
DOE Issues 2 $6M System Science Funding Opportunities
November 5, 2024 by
Nov. 5, 2024: The U.S. Department of Energy (DOE) Biological and Environmental Research (BER) Program announced its interest in receiving applications for research in Environmental System Science (ESS). The deadline for pre-applications is Wednesday, Dec. 11 at 5 pm ET; the dealine for applications is Thursday, March 13 at 11:59 pm ET. Learn more about […]
DOE and NNSA in Effort to Harness AI National Security Mission
October 25, 2024 by
WASHINGTON, D.C.—This week, the White House issued a national security memorandum (NSM) on artificial intelligence. “Recognizing that advances at the frontier of AI will have significant implications for national security and foreign policy, the Department of Energy (DOE) and the National Nuclear Security Administration (NNSA) are leading work to help understand and mitigate the risks […]
Breaking the ICE at Livermore: ICECap to Use Exascale Fusion Simulations for Digital Design
October 17, 2024 by
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.
