DocumentCode :
1278142
Title :
Multi-GPU DGEMM and High Performance Linpack on Highly Energy-Efficient Clusters
Author :
Rohr, David ; Bach, Matthias ; Kretz, Matthias ; Lindenstruth, Volker
Author_Institution :
Frankfurt Inst. for Adv. Studies, Goethe Univ., Frankfurt, Germany
Volume :
31
Issue :
5
fYear :
2011
Firstpage :
18
Lastpage :
27
Abstract :
High Performance Linpack can maximize requirements throughout a computer system. An efficient multi-GPU double-precision general matrix multiply (DGEMM), together with adjustments to the HPL, is required to utilize a heterogeneous computer to its full extent. The authors present the resulting energy-efficiency measurements and suggest a cluster design that can utilize multiple GPUs.
Keywords :
mathematics computing; multiprocessing systems; double-precision general matrix multiply; energy-efficient clusters; high performance Linpack; high-performance computing; multiGPU DGEMM; Computer architecture; Energy efficiency; Graphics processing unit; Green products; Hybrid intelligent systems; Supercomputers; DGEMM; GPGPU; Green IT; HPL; High Performance Linpack; double-precision general matrix multiply; heterogeneous (hybrid) systems; multi-GPU; system architecture;
fLanguage :
English
Journal_Title :
Micro, IEEE
Publisher :
ieee
ISSN :
0272-1732
Type :
jour
DOI :
10.1109/MM.2011.66
Filename :
5959146
Link To Document :
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