%0 Conference Proceedings
%T mHLogGP: A Parallel Computation Model for CPU/GPU Heterogeneous Computing Cluster
%+ Northwestern Polytechnical University [Xi'an] (NPU)
%A Liu, Gangfeng
%A Wang, Yunlan
%A Zhao, Tianhai
%A Gu, Jianhua
%A Li, Dongyang
%Z Part 5: Performance Modeling, Prediction, and Tuning
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 9th International Conference on Network and Parallel Computing (NPC)
%C Gwangju, South Korea
%Y James J. Park
%Y Albert Zomaya
%Y Sang-Soo Yeo
%Y Sartaj Sahni
%I Springer
%3 Network and Parallel Computing
%V LNCS-7513
%P 217-224
%8 2012-09-06
%D 2012
%R 10.1007/978-3-642-35606-3_25
%K CPU/GPU Heterogeneous computing
%K Parallel Computation Model
%K Parallel Computing
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%Z TC 10
%Z WG 10.3
%2 https://inria.hal.science/hal-01551314/document
%2 https://inria.hal.science/hal-01551314/file/978-3-642-35606-3_25_Chapter.pdf
%L hal-01551314
%U https://inria.hal.science/hal-01551314
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC10
%~ IFIP-NPC
%~ IFIP-WG10-3
%~ IFIP-LNCS-7513