ISC 2022, one of the biggest HPC confabs of the year, will be an in-person event (along with virtual streming) for the first time since 2019. Getting the most of the conference in Hamburg calls for good time management and good judgment. As an assist to both in-person and virtual attendees we spoke with three industry thought leaders – Katie Antypas of NERSC, Earl Joseph of Hyperion Research and Addison Snell of Intersect360 Research – about conference events, keynotes and potential news developments they think will be worthy of your attention.
Argonne’s Globus Software Wins Award at 2021 Data Mover Challenge
May 13, 2022 by
Globus, a platform for research data management created by researchers at the University of Chicago and the U.S. Department of Energy’s (DOE) Argonne National Laboratory, was named the Best Integrated Software Experience Award at the 2021 Data Mover Challenge. The award took place at a recent data moving competition held at the SupercomputingAsia conference to […]
Altair Acquires Cassini for Development of Digital Thread Technology
February 16, 2022 by
TROY, Mich., Feb. 16, 2022 — Computational science and AI software company Altair (Nasdaq: ALTR) has acquired Cassini, a next-generation cloud native technology for Industry 4.0. Altair said the acquisition deepens its expertise and strengthens its ability to offer digital thread solutions via the Altair One cloud platform. A digital thread provides a 360-degree view […]
DOE Funds $13M for Adapting Scientific Software to Run on Exascale Supercomputers
July 21, 2021 by
July 21, 2021 — The U.S. Department of Energy (DOE) today announced more than $13 million for five advanced-computing projects across nine states, including $4.4 million to U.S. universities. The projects will focus on adapting scientific software to run on the coming generation of increasingly powerful supercomputers. The goal is to decrease the effort necessary […]
ECP and ALCF to Host June 21 Twitter Chat on Extreme-scale Scientific Software Stack https://wp.me/p3RLHQ-mQa
June 15, 2021 by
On June 21 at 2 p.m. ET, the Exascale Computing Project (ECP) and the Argonne Leadership Computing Facility will host a chat on ECP’s Twitter account (@exascaleproject) that will address several questions concerning the Extreme-scale Scientific Software Stack (E4S) that ECP is developing for the nation’s forthcoming exascale systems. E4S will have a far-reaching impact on the […]
Atos HPC Software Suites
March 29, 2021 by
This whitepaper, “Atos HPC Software Suites,” from our friends over at Atos explains the main features and functionalities of the Atos HPC Software Suites and shares the company’s vision for the significant evolutions coming next in the HPC software arena.
Atos HPC Software Suites
March 24, 2021 by Leave a Comment
This whitepaper from our friends over at Atos explains the main features and functionalities of the Atos HPC Software Suites and shares the company’s vision for the significant evolutions coming next in the HPC software arena.
Atos Launches HPC Software Suites
November 19, 2020 by
Paris, November 19, 2020 – Atos today announces its new HPC Software Suites designed to enable users to better manage their supercomputing environments, optimize performance and reduce energy consumption. These software suites can be used on Atos’ BullSequana X supercomputer product line. HPC Software Suites includes: Smart Data Management Suite, Smart Energy Management Suite, Smart Performance Management Suite and Smart Management […]
Building the business case for Hybrid HPC Cloud
March 14, 2019 by
Over the past two years, we’ve seen a dramatic acceleration in cloud adoption for HPC. Intuitively cloud computing makes sense — it enables organizations to rent rather than buy expensive HPC hardware, deploy solutions faster, reduce capital investments, and focus on core competencies. Software company Univa highlights the reason behind the recent cloud adoption boom among the HPC community, and the benefits of the hybrid HPC cloud.
Exploring the Possibilities of Deep Learning Software
April 30, 2018 by
This is the second post in a five-part series from a report that explores the potential of unified deep learning with CPU, GPU and FGPA technologies. This post explores the possibilities and functions of software for deep learning.
