We are starting to see more exascale and large supercomputing sites benchmark and project on deep learning capabilities of systems designed for HPC applications but only a few have run system-wide tests to see how their machines might stack up against standard CNN and other metrics. …
While Marvell’s ThunderX family of server-class processors might not have taken high performance computing by storm from the outset, where there was interest and demand, it was fierce and committed. …
We often focus on the largest high performance computing deployments but a bulk of real enterprise HPC workloads happen in far less sophisticated environments, albeit with applications that still the need scalability, performance, and efficiency the big centers can provide. …
The San Diego Supercomputer Center (SDSC) will be preparing to put nearly ten racks of Habana AI hardware on the floor, marking the first time we have seen the AI chip startup (acquired by Intel in 2019) in force at any major supercomputing site. …
There are few better ways to land on the radar than having an ongoing contract with NASA for systems and software. …
Over the next year, we should get a good sense of how the Cerebras CS-1 system performs for dual HPC and AI workloads between installations at Argonne and Lawrence Livermore labs, EPCC, and the Pittsburgh Supercomputing Center (PSC). …
For neural networks to expand into more areas in traditional supercomputing, especially in areas where image data is key, high image fidelity and accuracy are critical. …
We took a look recently at the compute engines at the heart of the future – and as yet unnanmed – Sunway exascale system that will be installed at the National Supercomputing Center in Wuxi, China. …
Seismic processing and analysis at scale take scalable HPC resources but also need an analytics backend that can scale with massive datasets. …
In the accelerated era of exascale supercomputing, MPI is being pushed to its logical limits. …
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