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For Earth Day, SDSC Greens Up Its Batteries
April 22, 2022
Just in time for Earth Day, the San Diego Supercomputer Center (SDSC) has announced that it has replaced tens of thousands of pounds of toxic batteries with a m Read more…
Comet Supercomputer Supports Sickle Cell Disease Discovery
December 9, 2020
Sickle cell disease afflicts around a hundred thousand Americans, causing their red blood cells to harden, compress into the namesake C-shapes, clog small blood Read more…
Researchers Use Comet to Examine a DNA-Editing Enzyme
March 14, 2020
Genome editing stands to change the trajectory of human civilization, with massive implications for treatments of any genetic disease and potential for even bro Read more…
Comet Helps Simulate a Rare Volcanic Tsunami
March 7, 2020
When a volcano in or under the ocean violently erupts, the massive upheaval of earth, followed by its rapid descent, can, occasionally, produce a second major d Read more…
San Diego Supercomputer Center to Welcome ‘Expanse’ Supercomputer in 2020
July 18, 2019
With a $10 million dollar award from the National Science Foundation, San Diego Supercomputer Center (SDSC) at the University of California San Diego is procuri Read more…
Combining Machine Learning and Supercomputing to Ferret out Phishing Attacks
May 23, 2019
The relentless ingenuity that drives cyber hacking is a global engine that knows no rest. Anyone with a laptop and run-of-the-mill computer smarts can buy or re Read more…
Larry Smarr Helps NCSA Celebrate 30th Anniversary
September 20, 2016
Throughout the past year, the National Center for Supercomputing Applications has been celebrating its 30th anniversary. On Friday, Larry Smarr, whose unsolicited 1983 proposal to the National Science Foundation (NSF) begat NCSA in 1985 and helped spur NSF to create not one but five national centers for supercomputing, gave a celebratory talk at NCSA. Read more…
New Approach to Computationally Designing Drugs for GPCRs
September 8, 2016
Modeling protein interactions with drugs has long been computationally challenging. One obstacle is these interactions often take relatively long to occur and conventional molecular dynamics simulation is insufficient. This week a group of researchers, using several EXSEDE supercomputers, report a hybrid in silico-experimental approach that shows promise as a drug design tool for use with G protein-coupled receptors (GPCRs) 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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