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Publication

Title:phiGEMM: a CPU-GPU library for porting Quantum ESPRESSO on hybrid systems
Authors:Filippo Spiga, Ivan Girotto, 2011
Abstract: GPU computing has revolutionized HPC by bringing the performance of the supercomputer to the desktop. Attractive price, performance, and power characteristics allow multiple GPUs to be plugged into both desktop machines as well as supercomputer nodes for increased performance. Excellent performance and scalability can be achieved for some problems using hybrid combinations of multiple GPUs and CPU computing resources. This paper presents the acceleration of the open-source QUANTUM ESPRESSO package with the freely available ICHEC PHIGEMM library. Specifically, the parallel implementation and scaling of the PHIGEMM matrix-matrix multiplication will be discussed. This library can be called from applications using a standard GEMM interface (e.g. SGEMM, DGEMM, CGEMM, or ZGEMM) to perform matrix-matrix multiplication using one or more GPUs as well as the host multi-core processor. An 8.9-times speedup is reported in overall run-time of a representative AUSURF112 benchmark for a PWSCF calculation. In addition, multi-GPU scaling and performance for 3D-FFTs are discussed.
ICHEC Project:
Publication:20th Euromicro International Conference on Parallel, Distributed and Network-Based Computing (PDP2012), February 15-17, 2012, Garching (Germany)
URL: Not available yet
Keywords: CUDA, multi-GPU, matrix-matrix multiplication, 3D-FFT Density Functional Theory, application porting
Status: Accepted

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