April 22, 2022
Just in time for Earth Day, the San Diego Supercomputer Center (SDSC) has announced that it has replaced tens of thousands of pounds of toxic batteries with a m Read more…
November 3, 2021
The planning of electrical power supply today and in the future is a topic of discussion than impacts over six billion people on the planet right in their homes Read more…
June 6, 2020
The world’s supercomputers are currently allied in a common goal: defeating COVID-19. To analyze the billions upon billions of molecules that might produce he Read more…
August 23, 2018
With processor, memory and networking technologies all racing to fill in for an ailing Moore’s law, the era of the heterogeneous datacenter is well underway, Read more…
August 30, 2016
After offering OpenPower Summit attendees a limited preview in April, IBM is unveiling further details of its next-gen CPU, Power9, which the tech mainstay is Read more…
July 21, 2016
Dark silicon refers to the processing potential that's lost when thermal constraints disallow full CPU utilization. The gap between transistor scaling and voltage scaling combined with tighter integration of components (multicore, SoCs) has power density ramifications that are of particular concern for embedded computing, but high-performance computing faces similar "dark power" challenges. Bringing attention to this issue and exploring common solutions was the goal of the Dagstuhl Seminar 16052, “Dark Silicon: From Embedded to HPC Systems.” Read more…
May 18, 2016
IBM scientists have broken new ground in the development of a phase change memory technology (PCM) that puts a target on competing 3D XPoint technology from Intel and Micron. IBM successfully stored 3 bits per cell in a 64k-cell array that had been pre-cycled 1 million times and exposed to temperatures up to 75∘C. A paper describing the advance was presented this week at the IEEE International Memory Workshop in Paris. Phase-change memory is an up-and-coming non-volatile memory technology... Read more…
March 11, 2016
Led by strong growth in China, the worldwide server market grew 5.2 percent to $15.3 billion in the fourth quarter of 2015, reported market watcher IDC this wee 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.