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…
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…
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…
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…
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…
May 12, 2011
A look behind the scenes at the Blue Waters supercomputer's new digs at NCSA. Read more…
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…
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…
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.
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