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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yuxiang Gao Iqbal, S. Peng Zhang Meikang Qiu |
| Copyright Year | 2015 |
| Description | Author affiliation: Comput. Sci. Dept., Pace Univ. New York, New York, NY, USA (Meikang Qiu) || Global Solution Eng. Group, Dell Inc., Round Rock, TX, USA (Yuxiang Gao; Iqbal, S.) || Biomed. Eng. Dept., Stony Brook Univ., Stony Brook, NY, USA (Peng Zhang) |
| Abstract | A system architecture with high-density general purpose graphic processing unit (GPGPU) is emerging as a promising solution that can offer high compute performance and performance-per-watt for building cluster supercomputers. The raw compute power of these heterogeneous systems greatly exceeds the current prevailing homogenous systems, motivating their rapid adoption. These heterogeneous systems do however increase the complexity of developing parallel applications and there is a need to investigate the compute performances and associated power consumption of common benchmarks and scientific computing applications. In this paper, we present the performance and power studies through using the Dell C4130 server that integrates up to 4 GPGPU cards and NVIDIA GPGPU K80 is used. The high performance Linpack (HPL) and molecular dynamics (MD) simulators including NAMD, LAMMPS and GROMACS are tested. Through comparing 4-K80 and 2-Xeon E5-2690 v3 systems, we show that: (1) for HPL tests, the 4- GPU server delivers up to 7 TFLOPS that is 9 times faster than the 2-CPU system and its power efficiency is 4 GFLOPS per Watt, (2) for MD tests, NAMD on 4-GPU server achieves 7.8 times speedup and it uses 2.3 times power consumption compared to 2-CPU system, and LAMMPS achieves 16 times speedup and it uses 2.6 times power consumption, and GROMACS achieves 3.3 times speed up and it uses 2.6 times power consumption. These preliminary results demonstrated that the novel high-density multi-GPGPU architecture offers high performances for computing intensive applications and molecular simulators with superior power efficiencies in a space efficient design. In future, such heterogeneous architecture could be a powerful alternative solution for next generation supercomputer systems. |
| Starting Page | 66 |
| Ending Page | 71 |
| File Size | 616343 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781479989379 |
| DOI | 10.1109/HPCC-CSS-ICESS.2015.68 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-08-24 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Power demand performance evaluations Cooling parallel computer architecture Graphics processing units GPGPU power consumption storage Servers high availability flash technologydense GPGPU architecture database Computer architecture Benchmark testing cloud computing |
| Content Type | Text |
| Resource Type | Article |
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