Paul Messina Shares Deep Dive Into US Exascale Roadmap

June 14, 2016

Ahead of ISC 2016, taking place in Frankfurt, Germany, next week, HPCwire reached out to Paul Messina to get an update on the deliverables and timeline for the United States' Exascale Computing Project. The ten-year project has been charged with standing up at least two capable exascale supercomputers in 2023 as part of the larger National Strategic Computing Initiative launched by the Obama Administration in July 2015. Read more…

ITIF Report Aims to Sway Congress, Promote National HPC Agenda

April 28, 2016

The Information Technology and Innovation Foundation (ITIF), a Washington D.C. think tank with close ties to the Office of Science and Technology Policy and government broadly, today released an expansive report – The Vital Importance of High- Performance Computing to U.S. Competitiveness – and also held a panel to discuss the report’s recommendation. Noteworthy, many of the panelists are familiar names in the HPC community. Read more…

$300K Supercomputing Grants up for Grabs for Manufacturers from DOE

February 19, 2016

Come early March, grants worth $300,000 are up for grabs for manufacturers giving year-long access to national lab supercomputing cycles and half the staff hour Read more…

SC15 Video: Thomas Sterling and William Gropp Explore NSCI Opportunity

November 24, 2015

If you were hoping for a glimpse into the National Strategic Computing Initiative implementation (NSCI) plan last week while at SC15, you were out of luck. A dr Read more…

Podcast: Why HPC is Ready for the Cloud

November 15, 2015

Not surprisingly Tim Carroll is unambiguous about whether HPC is ready for the cloud. It absolutely is says Carroll. He is, after all, VP of Sales and Ecosystem Read more…

Podcast: Industry Leaders on the Promise & Peril of NSCI

August 27, 2015

Five senior executives from Cray, HP, IBM, Intel and SGI weigh in on the new National Strategic Computing Initiative’s (NSCI) prospects in this exclusive HPCw Read more…

New National HPC Strategy Is Bold, Important and More Daunting than US Moonshot

August 6, 2015

“In order to maximize the benefits of HPC for economic competitiveness and scientific discovery, the United States Government must create a coordinated Federa Read more…

White House Launches National HPC Strategy

July 30, 2015

Yesterday’s executive order by President Barack Obama creating a National Strategic Computing Initiative (NSCI) is not only powerful acknowledgment of the vit Read more…

  • arrow
  • Click Here for More Headlines
  • arrow

Whitepaper

Powering Up Automotive Simulation: Why Migrating to the Cloud is a Game Changer

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.

Download Now

Sponsored by ANSYS

Whitepaper

How to Save 80% with TotalCAE Managed On-prem Clusters and Cloud

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.

Download Now

Sponsored by TotalCAE

Advanced Scale Career Development & Workforce Enhancement Center

Featured Advanced Scale Jobs:

SUBSCRIBE for monthly job listings and articles on HPC careers.

HPCwire Resource Library

HPCwire Product Showcase

Subscribe to the Monthly
Technology Product Showcase:

HPCwire