In this video, Primeur Magazine asks the ISC’11 Analyst Crossfire panel whether co-design for Exascale supercomputers is really necessary. Watch the full ISC Analyst Crossfire session here.
Industry Perspectives
Video: Scientific Benchmarking of Parallel Computing Systems
In this video, Torsten Hoefler from ETH Zurich presents: Scientific Benchmarking of Parallel Computing Systems. "Measuring and reporting performance of parallel computers constitutes the basis for scientific advancement of high-performance computing. Most scientific reports show performance improvements of new techniques and are thus obliged to ensure reproducibility or at least interpretability. Our investigation of a stratified sample of 120 papers across three top conferences in the field shows that the state of the practice is not sufficient." [Read More...]
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Machine Learning in Energy: A Hot Spot in Seismic Processing
Artificial intelligence and machine learning, based on widely available hardware and novel software techniques, give energy exploration companies the confidence to pinpoint drilling locations, resulting in lower costs. Download the new insideHPC special report, courtesy of Dell EMC and Nvidia, to learn how HPC technology is being used for energy exploration, ranging from drilling and well completion to modeling oil-refining strategies.
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Co-design is a death sentence to the broader HPC users. While new class of machines can be designed with a deeper view on specific workloads, the follow-up systems need to provide a scalable, and cost effective solution for a broader range of codes.