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Spack Packs Deployment Boost for Top Supercomputers
Although hardware gets all the attention during Supercomputing week, much has been happening behind the scenes to make all the software run on the latest, fastest systems. …
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Porting to AMD GPUs in the Corona Age
“Times were simpler not so long ago” is an understatement these days, but when it comes to supercomputing, this has yet another meaning. …
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Making Java Play Nice With Kubernetes
Java turned 25 years old in May, marking a quarter of a century in which it has consistently been one of the most widely used programming languages. …
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Programming In The Parallel Universe
This week is the eighth annual International Workshop on OpenCL, SYCL, Vulkan, and SPIR-V, and the event is available online for the very first time in its history thanks to the coronavirus pandemic. …
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Python Delivers Big On Complex Unlabeled Data
A collaboration of researchers from the University of California Davis, the National Energy Research Scientific Computing Center, and Intel are working together on the DisCo project to extract insight from complex unlabeled data. …
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A Hackathon To Battle The Coronavirus Pandemic
Public-private partnerships are common when responding to national or international crises and the current coronavirus pandemic that is expanding around the globe is no different. …
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Wind Energy to Get an Exascale Boost
The U.S. Department of Energy is backing a sweeping software to bring wind turbine and wind farm modeling into the exascale era with the open source “ExaWind” modeling and simulation environment. …
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OpenACC Cozies Up To C, C++, and Fortran Standards
Not so long ago, there was a question whether exascale supercomputers would be built from a very large number of thin nodes containing only modest amounts of parallelism or a smaller number of fat nodes powered by specialized accelerators and powerful manycore processors. …
AI
Deep Divides Between AI Chip Startups, Developers
It’s par for the course for AI chip startups to focus on peak performance on outdated benchmarks to appeal to the hardware folks who might give their gear a go for deep learning training or inference. …