DocumentCode
2190363
Title
Accelerating Linpack Performance with Mixed Precision Algorithm on CPU+GPGPU Heterogeneous Cluster
Author
Wang Lei ; Zhang Yunquan ; Zhang Xianyi ; Liu FangFang
Author_Institution
Lab. of Parallel Comput., Chinese Acad. of Sci., Beijing, China
fYear
2010
fDate
June 29 2010-July 1 2010
Firstpage
1169
Lastpage
1174
Abstract
In this paper, the mixed precision algorithm to solve the linear system of equations and the implementation of HPL package are introduced. We use this mixed precision algorithm to improve HPL package on CPU + GPGPU heterogeneous clusters, which is named for GHPL, and give the implementation mechanisms in detail. The experimental results are measured on the platforms of multi-core CPUs and CPU + GPGPU heterogeneous clusters. From the experimental results, we can find out that our GHPL program has good scalability on all the experimental environments and can sustain more than 1.7Teraflops both on the cluster with 16 nodes containing 32 NVIDIA Tesla C1060 GPUs and on the cluster with 8 nodes containing 32 ATI GeForce GTX 295 GPUs, while the average speedup of it with respect to HPL is 3.06 and 2.40 respectively.
Keywords
coprocessors; graphical user interfaces; linear systems; CPU+GPGPU heterogeneous cluster; GHPL program; Linpack performance acceleration; NVIDIA Tesla C1060 GPU; linear equations; mixed precision algorithm; multicore CPU; Accuracy; Benchmark testing; Clustering algorithms; Convergence; Graphics processing unit; Linear systems; Niobium; CUDA; HPL; mixed precision algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Technology (CIT), 2010 IEEE 10th International Conference on
Conference_Location
Bradford
Print_ISBN
978-1-4244-7547-6
Type
conf
DOI
10.1109/CIT.2010.212
Filename
5577898
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