IBM Joins Effort to Build $200M AI, Cloud, Quantum Discovery Accelerator at the University of Illinois

May 27, 2021

With demands for AI, hybrid cloud and quantum computing expanding daily, IBM is joining an initiative to build a Discovery Accelerator Institute at the Universi Read more…

NCSA Wades into Post-Blue Waters Era with Delta Supercomputer

June 3, 2020

NSF has awarded the National Center for Supercomputing Applications (NCSA) $10 million for its next supercomputer - named Delta – “which will kick-start NCS Read more…

Researchers Create a 3D, Iron-Filled Microchip Inductor, Revamping Spatial Efficiency

January 30, 2020

As electronics get smaller and smaller – and use more and more components – microchip development is in a never-ending battle for minimization. Now, researc Read more…

Bill Gropp – Pursuing the Next Big Thing at NCSA

March 28, 2017

About eight months ago Bill Gropp was elevated to acting director of the National Center for Supercomputing Applications (NCSA). He is, of course, already highl Read more…

IBM Plans Cognitive Computing Research Center with University of Illinois

April 15, 2016

In keeping with its vision of an era of cognitive computing enabled by acceleration technology, IBM Research (NYSE: IBM) today announced plans for a multi-year Read more…

Inside the National Petascale Computing Facility

May 12, 2011

A look behind the scenes at the Blue Waters supercomputer's new digs at NCSA. Read more…

Air Force, University of Illinois Take Aim at Cloud Challenges

May 9, 2011

This week the University of Illinois, the Air Force Research Laboratory and the Air Force Office of Scientific Research launched a new initiative to tackle some of the most persistent security and data integrity related issues that plague the cloud. We discussed the effort and its projected outcomes with the project lead, Dr. Roy Campbell. Read more…

TeraGrid 2010 Keynote: Attendees Peer into Blue Waters

August 16, 2010

At this year's TeraGrid conference, Bob Wilhelmson, recently retired chief science officer of the National Center for Supercomputing Applications (NCSA) and former applications lead for the Blue Waters project, delivered a keynote address in which he discussed the Blue Waters architecture and shared several planned projects for the new supercomputer. This is our fourth in a series covering the TeraGrid conference. 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