We have written much over the last few years about the convergence of deep learning and traditional supercomputing but as the two grow together, it is clear that the tools for one area don’t always mesh well with those of the other. …
If the hype is to be believed, there is no computational problem that cannot be tackled faster and better by artificial intelligence. …
Written in the productivity language Julia, the Celeste project—which aims to catalogue all of the telescope data for the stars and galaxies in in the visible universe—demonstrated the first Julia application to exceed 1 PF/s of double-precision floating-point performance (specifically 1.54 PF/s). …
Close to a year ago when more information was becoming available about the Knights Landing processor, Intel released projections for its relative performance against two-socket Haswell machines. …
The powerful Cori supercomputer, now being readied for deployment at NERSC (The National Energy Research Scientific Computing Center), has been named in honor of Gerty Cori. …
Over the last year, we have focused on the role burst buffer technology might play in bolstering the I/O capabilities on some of the world’s largest machines and have focused on use cases ranging from the initial target to more application-centric goals. …
Intel has been pursuing a long-term, multi-faceted set of investments to create the processors and technologies needed to build CPU-based supercomputers that can deliver exascale levels of performance in a cost and energy efficient fashion. …
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