February 1, 2017
On Tuesday, IBM announced that its World Community Grid will provide free virtual supercomputing power to a global team of scientists engaged in the fight again Read more…
May 31, 2016
Univa today announced general availability of Grid Engine 8.4.0. The latest version of Grid Engine includes many new features including expanded support for Docker containers as well as “preview support” for Intel’s latest Xeon Phi code named Knights Landing processor. Univa also reports fixing more than 80 prior issues. Leading the container enhancements, users can now automatically dispatch and run jobs in Docker containers, from a user specified Docker image. Read more…
October 27, 2015
At the SpectraSummit event in Boulder, Colorado, earlier this month, HPCwire learned of a developing partnership between storage vendor Spectra Logic and resear Read more…
February 9, 2015
Charity Engine, the volunteer computing grid operated by the Worldwide Computer Company, announced it will donate three million core-hours of computing to three Read more…
December 4, 2014
IBM announced that its World Community Grid, now "powered by its SoftLayer cloud," will provide free virtual supercomputing power to The Scripps Research Instit Read more…
October 22, 2014
An international team of volunteers is putting their spare computing power to work unlocking the secrets of microbes from around the world. By plugging in to Read more…
August 18, 2014
Distributed computing has undergone many permutations, from its roots in grid computing to support large scientific endeavors to Sun-style utility computing, to Read more…
May 22, 2014
As director of the biophysics program at Stanford University, Vijay Pande understands that cloud is no replacement for supercomputers like the petascale Blue Wa Read more…
The increasing complexity of electric vehicles result in large and complex computational models for simulations that demand enormous compute resources. On-premises high-performance computing (HPC) clusters and computer-aided engineering (CAE) tools are commonly used but some limitations occur when the models are too big or when multiple iterations need to be done in a very short term, leading to a lack of available compute resources. In this hybrid approach, cloud computing offers a flexible and cost-effective alternative, allowing engineers to utilize the latest hardware and software on-demand. Ansys Gateway powered by AWS, a cloud-based simulation software platform, drives efficiencies in automotive engineering simulations. Complete Ansys simulation and CAE/CAD developments can be managed in the cloud with access to AWS’s latest hardware instances, providing significant runtime acceleration.
Two recent studies show how Ansys Gateway powered by AWS can balance run times and costs, making it a compelling solution for automotive development.
Five Recommendations to Optimize Data Pipelines
When building AI systems at scale, managing the flow of data can make or break a business. The various stages of the AI data pipeline pose unique challenges that can disrupt or misdirect the flow of data, ultimately impacting the effectiveness of AI storage and systems.
With so many applications and diverse requirements for data types, management systems, workloads, and compliance regulations, these challenges are only amplified. Without a clear, continuous flow of data throughout the AI data lifecycle, AI models can perform poorly or even dangerously.
To ensure your AI systems are optimized, follow these five essential steps to eliminate bottlenecks and maximize efficiency.
© 2023 HPCwire. All Rights Reserved. A Tabor Communications Publication
HPCwire is a registered trademark of Tabor Communications, Inc. Use of this site is governed by our Terms of Use and Privacy Policy.
Reproduction in whole or in part in any form or medium without express written permission of Tabor Communications, Inc. is prohibited.