In our continuing series on current and future leaders of HPC-AI, Lawrence Livermore National Lab’s Todd Gamblin has a well-deserved reputation in the HPC software community as a passionate ….
Vanguards of HPC-AI: Spack Builder Todd Gamblin of LLNL on the Why’s and How’s of Change in HPC
February 20, 2025 by
Synopsys Expands Hardware-Assisted Verification Portfolio for Semiconductor Design
February 14, 2025 by
SUNNYVALE, Calif., Feb. 13, 2025 — Synopsys, Inc. (Nasdaq: SNPS) today announced the expansion of its hardware-assisted verification (HAV) portfolio with new HAPS prototyping and ZeBu emulation systems using AMD Versal Premium VP1902 adaptive SoC. Synopsys said the next generation HAPS-200 prototyping and ZeBu-200 emulation systems deliver improved runtime performance, better compile time and improved debug productivity. They are […]
At SC24: Intel, oneAPI and the UXL Foundation — Enabling Open Source Software for HPC-AI
December 6, 2024 by
HPC-AI chip companies have built out and manage major major software development operations, and at SC24, we caught up with two software managers associated with Intel’s open source software projects. Here is our ….
AMD Releases ROCm Version 6.3
November 26, 2024 by
Nov. 26, 2024: AMD today announced the release of ROCm Version 6.3 open-source platform, introducing tools and optimizations for AI, ML and HPC workloads on AMD Instinct GPU accelerators. ROCm 6.3 is engineered for a range of organizations, from AI startups to HPC-driven industries, and is designed to enhance developer productivity Features of this release […]
CIQ Demos Preview of ‘Fuzzball Federate’ to Streamline HPC Workflows
November 21, 2024 by
ATLANTA — November 18, 2024 — SC24 — As high performance computing teams move more workloads to cloud-native environments to take advantage of scale and agility, orchestration of jobs across on-premises and cloud environments slows progress. CIQ Fuzzball Federate, unveiled today in early access at SC24, addresses these challenges and enables researchers to use a comprehensive management […]
VAST Data Unveils InsightEngine with Nvidia
October 1, 2024 by
AI data platform company VAST Data today announced VAST InsightEngine with NVIDIA, which the company said is the first solution to securely ingest, process, and retrieve all types of enterprise data (files, objects, tables, and streams) in real-time. The first application workflow to run on the VAST Data Platform, the new product is designed to […]
Data Management Company Reltio Integrates with Microsoft Purview
September 27, 2024 by
Sept. 24, 2024, Redwood Shores, Calif.– Reltio, an AI-powered data unification and management company, has expanded its collaboration with Microsoft ith the intent to streamline data governance and unification across the enterprise. Today they introduced the Reltio Integration for Microsoft Purview, which combines Reltio’s data unification and management capabilities with Microsoft Purview Data Governance’s capabilities […]
Friedrich-Alexander-Universität: HPC Boosted with xiRAID and Lustre
September 24, 2024 by
Sept. 24, 2024 — Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), a research university in Germany, announced it has enhanced its high-performance computing capabilities through an implementation of xiRAID and Lustre technologies. This upgrade, facilitated by Xinnor and MEGWARE, has resulted in performance gains for the GPU cluster “Alex,” a research resource for artificial intelligence, machine learning, atomistic simulations […]
SK hynix Announces CXL SDK Available on Linux
September 24, 2024 by
SEOUL, September 23, 2024 – SK hynix Inc. announced today that features of its Heterogeneous Memory Software Development Kit (HMSDK) software for optimizing Compute Express Link memory technology , are now available on Linux. SK hynix said HMSDK enhances the memory package’s bandwidth by over 30 percent without modifying existing applications by selectively allocating memory […]
Exascale: SUPERLU/STRUMPACK Solvers Get Frontier Upgrade
July 10, 2024 by
“Before (the Exascale Computing Project), both packages had very little support for GPUs. We could get some benefit from running on a single GPU, but without updating the code, even 10 GPUs wouldn’t make it run much faster. We had to redesign a lot of algorithms ….”
