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GPU supercomputer will accelerate research on gravitational waves



The Polgraw team at CAMK has received a new high performance system for deep learning manufactured by PNY with 8 NVIDIA Tesla V100 SXM2 modules and NVLink. The server is equipped with 2 16-core CPUs, 768 GB RAM and 100 Gbps Infiniband network interface. The total performance of GPU modules is almost 1 petaflops (GPU FP16, half-precision) ! The purchase was funded by MNiSW grant for expansion of the strategic IT infrastructure for science. The Polgraw team is a member of international consortium Virgo working on analysis of data from interferometric detectors of gravitational waves within LIGO-Virgo-KAGRA collaboration. The new system will be used mainly for searching for astrophysical signals and their parameter estimations as well as to research detector noise using deep neural networks.