Deep Learning at Scale

Cray is synonymous with large-scale computing. While this is by no means all we do, the research that leverages these large systems is interesting to examine as leading indicators of things to come in the broader community. This has been true for a ... [ Read More ]

What’s Hiding in Your Performance Toolkit?

Similar to the old adage “you cannot judge a book by its cover,” estimating the performance of an application on thousands of nodes of a massively parallel computer cannot be done by investigating the performance on a single node or, for that matter, ... [ Read More ]

How to Program a Supercomputer

We felt that it was necessary to write a book reintroducing programming techniques that should be used by application developers targeting the current and future generation supercomputers. While the techniques have been around for a long time, many ... [ Read More ]

Leading the Charge for Cancer Research

Prof. Rick Stevens with Argonne National Laboratory is using deep learning to help move science closer to curing cancer.

Cancer has proven itself a formidable opponent. But every opponent has a weakness — and Rick Stevens is working to identify it, exploit it... and, ultimately, bring the disease to its knees. How? With supercomputing-powered deep learning. Prof. ... [ Read More ]

CHIUW 2017: Surveying the Chapel Landscape

CHIUW 2017 — the 4th Annual Chapel Implementers and Users Workshop — was held last month in Orlando, Fla., in conjunction with IEEE IPDPS 2017. Right out of the gate, attendees heard about a number of positive trends in the annual “state of the ... [ Read More ]

AI Meets HPC at ISC 2017

Running astrophysics applications with 200,000 MPI tasks … diagnosing and treating autism spectrum disorders … researching the secure nature of the Advanced Encryption Standard algorithm. Those are among the many research dreams that HPC ... [ Read More ]