Researchers are using XSEDE supercomputers and artificial intelligence to predict breast cancer. “Our local GPUs did not have enough memory to accommodate such a scale of data for AI modeling. It could take weeks to run one experiment without the support of powerful GPUs. Using the GPUs from XSEDE, with larger memory, reduced that to a couple of hours.”
[SPONSORED GUEST ARTICLE] Computer scientist Alan Perlis once said that fools ignore complexity while pragmatists suffer it. But when it comes to the complexity of configuring HPC, AI and data analytics environments, Perlis might say Dell Technologies walks in the path of geniuses: they remove complexity…..
The high-performance computing (HPC) market is witnessing a notable shift towards the cloud, partially driven by the benefits of enhanced energy efficiency. According to Hyperion Research nearly every organization running HPC workloads is either already using or investigating the cloud to accelerate application performance, with the cloud market for HPC workloads forecast to reach $11.5 […]
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