It is a time of interesting architectural shifts in the world of supercomputing but one would be hard-pressed to prove that using the mid-year list of the top 500 HPC systems in the world. …
It is hard to tell which part of the HPC market is more competitive: compute, networking, or storage. …
Over the course of the last five years, GPU computing has featured prominently in supercomputing as an accelerator on some of the world’s fastest machines. …
Supercomputer maker Cray might not roll out machines for deep learning anytime in 2016, but like other system vendors with deep roots in high performance computing, which leverages many of the same hardware elements (strong interconnect and GPU acceleration, among others), they are seeing how to loop their expertise into a future where machine learning rules. …
The bottlenecks never get removed from a system, they just shift around as you change one component or the other. …
Hewlett-Packard wants a bigger slice of the high performance computing and data analytics markets, and so does chip maker Intel. …
Low margins, an unpredictable cycle, expensive and ongoing research development efforts, a slavish commitment to processor upgrade timelines, and a market that will only ever grow so much—who wouldn’t want to be in the supercomputing systems business? …
In the story we broke this morning about the forthcoming “Aurora” supercomputer set to be installed at Argonne National Laboratory—one of three pre-exascale machines that were part of the CORAL procurement between three national labs–we speculated that unlike the other two machines, which will be based on an OpenPower approach (Power9, Volta GPUs, and a new interconnect), the architecture of this system would be based on the third generation Knights family of chips from Intel, the Knights Hill processors. …
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