While securing the high-end particle physics market segment is not likely to push any of the AI/ML ASICS into competition with GPUs anytime soon, the chipmakers that can prove their value on some of the most demanding, real-time AI workloads can capture some serious mindshare. …
Recognizing that the most important application of machine learning in HPC is to replace production numerical simulation models with machine learning approximations, one European organization is pushing these frontiers with innovative AI HPC research. …
The last couple of years has seen a steady drumbeat for the use of low precision in growing numbers of workloads driven in large part by the rise of machine learning and deep learning applications and the ongoing desire to cut back on the amount of power consumed. …
Over the course of the last year in particular, particularly following Intel’s acquisition of FPGA maker, Altera, field programmable gate array have risen to the fore as a potential accelerator cure to performance and power walls across a much wider breadth of applications. …
When it comes to issues that keep cropping up in exascale computing circles beyond the expected hardware, parallelization, and power consumption topics, the matter of reproducibility is often on the list. …
CERN is set to go dark for a brief period in the 2018 timeframe to allow for a new sweep of technology upgrades, including the build-out of new datacenters, some of which might leverage non-standard architectures, including ARM processors. …
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