AMD EPYC to feed Nuclear Physics (INFN) in Italy by AMD EPYC 7351 processor

AMD just revealed that AMD EPYC is set to feed Nuclear Physics (INFN) in Italy and EPYC has just made another good news for AMD in datacenter and supercomputing market.

The 16-core AMD EPYC 7351 provides the full complement of 128 lanes of PCIe connectivity and eight memory channels available on all EPYC 7000-series processors. AMD EPYC 7351 Specifications: # of CPU Cores 16, # of Threads 32, Base Clock 2.4GHz, Max Boost Clock  2.9GHz, All Core Boost Speed  2.9GHz, Total L3 Cache 64MB, Socket Count 1P/2P, PCI Express Version x128, Default TDP / TDP  155/170W.

AMD EPYC 7351P  CPU Mark Benchmark Relative to Top 10 Common CPUs

As of 25th of June 2018 – Higher results represent better performance

AMD EPYC 7351P
17,991
Intel Xeon E5-1650 v3 @ 3.50GHz
13,606
Intel Xeon E5-1620 v3 @ 3.50GHz
9,764
Intel Xeon E3-1231 v3 @ 3.40GHz
9,633
Intel Xeon E5-1620 v2 @ 3.70GHz

From the original PRESS RELEASE:

SANTA CLARA, Calif., June 25, 2018 (GLOBE NEWSWIRE) — AMD today announced The National Institute for Nuclear Physics (INFN) in Italy has picked the AMD EPYC 7351 processor to power its high-performance computing cluster. INFN, a leading European research institution, conducts theoretical and experimental research in the fields of subnuclear, nuclear, and astroparticle physics while offering access to its exceptional processing resources across Europe.

“As a tier one provider of clustered compute and storage for the largest currently ongoing experiments in physics, INFN delivers access to the massive amount of processing required for advanced research in nuclear physics,” said Luca dell’Agnello, head of the tier one center, INFN. “With the adoption of AMD EPYC into the institute, we are offering the latest generation of processing capability to our users and expanding the overall compute capabilities.”

The 16-core AMD EPYC 7351 provides the full complement of 128 lanes of PCIe connectivity and eight memory channels available on all EPYC 7000-series processors.

“We are extremely proud to have the high-performance AMD EPYC processor selected for the INFN datacenter,” said Scott Aylor, corporate vice president and general manager of Datacenter Products, AMD. “High-performance computing is another environment where the AMD EPYC processor feature set stands out for its ability to deliver scalable support for the compute and storage resources required for advanced research.”

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Mohsen Daemi
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