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Watson-based Tool Automates Discovery
August 28, 2014
The HPC community has been following IBM's Watson technology since a semi-personified version of the analytics machine became a winning Jeopardy contestant in 2 Read more…
HPC Aids Fight Against Toxic Bacteria
May 13, 2014
A group of researchers at the University of South Wales' Genomics and Computational Biology lab are using supercomputing to help solve a critical public health Read more…
Mining for Shakespeare
September 13, 2013
Given sufficiently large data sets and suitable quantitative methods, subtle variations in writing style can be teased to reveal linguistic preferences, psychological issues and even authorship itself. Read more…
‘Sherlock’ Applies Problem Solving to Complex Challenges
August 21, 2013
San Diego Supercomputer Center (SDSC) is announcing a bold new cloud and analytics-based initiative, called Sherlock. Established by SDSC with the assistance of SD Technology and Chickasaw Nation Industries, the Sherlock-branded project represents an "extensive portfolio of information technology services for healthcare and government." Read more…
Post Office Mines Data to Fight Fraud
March 26, 2013
The US Postal Service relies on the power of big data to analyze over 528 million mail pieces per day for signs of fraud. Read more…
Supercomputers Study Singing Mice
August 14, 2012
Rodent vocalizations could be linked to speech disorders in humans. Read more…
Cray Pushes XMT Supercomputer Into the Limelight
January 26, 2011
When announced in 2006, the Cray XMT supercomputer attracted little attention. The machine was originally targeted for high-end data mining and analysis for a particular set of government clients in the intelligence community. While the feds have given the XMT support over the past five years, Cray is now looking to move these machines into the commercial sphere. And with the next generation XMT-2 on the horizon, the company is gearing up to accelerate that strategy in 2011. Read more…
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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.
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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.
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