“While MPI was originally developed for general purpose CPUs and is widely used in the HPC space in this capacity, MPI applications can also be developed and then deployed with the Intel Xeon Phi Processor. With the understanding of the algorithms that are used for a specific application, tremendous performance can be achieved by using a combination of OpenMP and MPI.”
A cumulative effort over several years to scale the training of deep-learning neural networks has resulted in the first demonstration of petascale deep-learning training performance, and further to deliver this performance when solving real science problems. The result reflects the combined efforts of NERSC (National Energy Research Scientific Computing Center), Stanford and Intel to solve real world use cases rather than simply report on performance benchmarks. [Read More...]
Using Remote Direct Memory Access based analytics and fast, scalable,external disk systems with massively parallel access to data, SAS analytics driven organizations can deliver timely and accurate execution for data intensive workflows such as risk management, while incorporating larger datasets than using traditional NAS.
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