January 17, 2018
Computer scientists from the Center for Computational Research, State University of New York (SUNY), University at Buffalo have examined the effect of Meltdown Read more…
June 6, 2013
A team of researchers modeling environmental events looked to the relative efficiencies of using GPU and CPU approaches for their processing and rendering. While CPUs were needed due to limited on-board GPU memory.... Read more…
November 6, 2012
New report compares Amazon EC2 with nine other IaaS providers on a range of performance and stability metrics. Read more…
September 13, 2012
IaaS provider ProfitBricks proclaims noteworthy performance-metrics, pits service against the top two cloud providers. Read more…
June 26, 2012
At the HPC Advisory Council European Conference 2012 in Hamburg, in conjunction with the International Supercomputing Conference (ISC'12), VMware's HPC guru Josh Simons delivered a presentation of particular interest to followers of the HPC cloud space. The session tackled the million dollar HPC cloud question: "Are cloud computing and virtualization only useful for running throughput workloads or can latency-sensitive applications be run as well?" Read more…
June 23, 2011
High performance parallel storage vendor Panasas is eyeing the technical computing and big data markets with the release of its ActiveStore 11 parallel storage system appliance, a step back from 12 that comes with a more balanced storage profile and lower price per terabyte than the performance-driven ActiveStor 12. Read more…
June 7, 2011
VeloBit, which emerged from stealth today following an undisclosed round of funding, is talking up its soon-to-launch software cure for SSD performance ills. Although their product won't appear until later in the year, they claim their solution packs an order of magnitude price-performance improvement for solid-state drives. Read more…
April 14, 2011
In his third column on programming for exascale systems, Michael Wolfe shares his views on what programming at the exascale level is likely to require, and how we can get there from where we are today. He explains that it will take some work, but it's not a wholesale rewrite of 50 years of high performance expertise. 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.