The Biggest Shift in Supercomputing Since GPU Acceleration
For years, the pace of change in large-scale supercomputing neatly tracked with the curve of Moore’s Law. …
For years, the pace of change in large-scale supercomputing neatly tracked with the curve of Moore’s Law. …
Over the last couple of years, much work has been shifted into making FPGAs more usable and accessible. …
As businesses continue their migration to the cloud, the issue of monitoring the performance and health of their applications gets more challenging as they try to track them across both on-premises environments and in both private and public clouds. …
Many hands make light work, or so they say. So do many cores, many threads and many data points when addressed by a single computing instruction. …
This fall will mark twenty years since the publication of the v1.0 specification of OpenMP Fortran. …
During the five years that Red Hat has been building out its OpenShift cloud applications platform, much of the focus has been on making it easier to use by customers looking to adapt to an increasingly cloud-centric world for both new and legacy applications. …
The frameworks are in place, the hardware infrastructure is robust, but what has been keeping machine learning performance at bay has far less to do with the system-level capabilities and more to do with intense model optimization. …
OpenACC’s global attraction can be seen in the recent February 2017 OpenACC mini-hackathon and GPU conference at KAUST (King Abdullah University of Science & Technology) in Saudi Arabia. …
The HPC community is trying to solve the critical compute challenges of next generation high performance computing and ARM considers itself well-positioned to act as a catalyst in this regard. …
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