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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yong Dong Juan Chen Xuejun Yang Canqun Yang Lin Peng |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Comput., Nat. Univ. of Defense Technol., Changsha (Yong Dong; Juan Chen; Xuejun Yang; Canqun Yang; Lin Peng) |
| Abstract | DVFS-available (Dynamic Voltage/Frequency Scaling) processors make it possible for a system to reduce the energy consumption by scaling down the frequency/voltage of the processors in high performance computing. For MPI collective operations, network communication time occupies the most of the whole time. Scaling down CPU voltage/frequency in non-critical path can effectively reduce energy consumption. This paper proposes Low-Power MPI_Gather algorithm (LPMG) and Low-Power MPI_Scatter algorithm (LPMS) and extend them to almost all the MPI collective operations. We evaluate the effectiveness of our low-power MPI collective operation algorithm using Intel MPI benchmark IMB on 128-processor cluster system connected by a 1000 Mbps Ethernet. Experimental results show that different MPI collective operations can achieve different energy saving. With 128 processes, average 45.9% and 55.7% energy savings can be reached through LPMG and LPMS, respectively. But MPI_Alltoall only gets 2.2% energy saving. |
| Starting Page | 1047 |
| Ending Page | 1052 |
| File Size | 264157 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769533988 |
| DOI | 10.1109/ICYCS.2008.500 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-11-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Energy consumption collective operation Ethernet networks dynamic voltage/frequency scaling MPI Dynamic voltage scaling Earth Low voltage High performance computing Clustering algorithms low power Performance loss Frequency synchronization |
| Content Type | Text |
| Resource Type | Article |
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