Coprocessors can work in tandem with a CPU to accelerate CPU intensive applications. Processes executed by the coprocessors may include floating point arithmetic, graphics, signal processing, string processing, and encryption.
In this webinar we will explain how coprocessors like NVIDIA GPUs or Intel® Xeon Phi™ are integrated and used in a Univa Grid Engine compute cluster.
What you will learn:
Why Coprocessors Matter
How Coprocessors are Configured in Univa Grid Engine
Submitting and Monitoring Jobs using coprocessors
Working with Coprocessors' Usage Metrics
Optimizing the Configuration for NUMA Machines and Mixed Workloads
Speaker: Daniel Gruber, Sr. Software Engineer, Univa Corporation Daniel holds a B.Sc. / M.Sc. Information Engineering. He has worked at Sun and Oracle and he is now a part of Univa Grid Engine Development Team (working on core/memory binding, RSMAP, Intel Xeon Phi support, cgroups, Cray XC30 support, HP CMU Integration, DRMAA2 working group member).
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