mHLogGP: A Parallel Computation Model for CPU/GPU Heterogeneous Computing Cluster

Abstract : CPU/GPU heterogeneous computing has become a tendency in scientific and engineering computing. The conventional computation models cannot be used to estimate the application running time under the CPU/GPU heterogeneous computing environment. In this paper, a new model named mHLogGP is presented on the basis of mPlogP, LogGP and LogP. In mHLogGP, he communication and memory access is abstracted based on the characteristic of CPU/GPU hybrid computing cluster. This model can be used to study the behavior of application, estimate the execution time and guide the optimization of parallel programs. The results show that the predicted running time approaches to the actual execution of program.
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Communication dans un congrès
James J. Park; Albert Zomaya; Sang-Soo Yeo; Sartaj Sahni. 9th International Conference on Network and Parallel Computing (NPC), Sep 2012, Gwangju, South Korea. Springer, Lecture Notes in Computer Science, LNCS-7513, pp.217-224, 2012, Network and Parallel Computing. 〈10.1007/978-3-642-35606-3_25〉
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Gangfeng Liu, Yunlan Wang, Tianhai Zhao, Jianhua Gu, Dongyang Li. mHLogGP: A Parallel Computation Model for CPU/GPU Heterogeneous Computing Cluster. James J. Park; Albert Zomaya; Sang-Soo Yeo; Sartaj Sahni. 9th International Conference on Network and Parallel Computing (NPC), Sep 2012, Gwangju, South Korea. Springer, Lecture Notes in Computer Science, LNCS-7513, pp.217-224, 2012, Network and Parallel Computing. 〈10.1007/978-3-642-35606-3_25〉. 〈hal-01551314〉

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