원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.9 No.11
2016.11
pp.239-254
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
High-performance conjugate gradient (HPCG) is the latest benchmark adopted by the TOP500 organization, and thus how to optimize the HPCG source code for different heterogeneous computing platforms to achieve a higher floating-point computation rate has already become a new hot issue in HPC field. In the paper, we used the CPU + MIC heterogeneous computing platforms, and successfully ported HPCG to the platform. Through the analysis of HPCG source code and optimization for CPU + MIC platforms, practical significance and the value of further research is put forward. Results of performing the benchmark indicate that the design of optimization methods is reasonable and has facilitated the speedup of HPCG benchmark.
목차
Abstract
1. Introduction
2. HPCG: The Benchmark for Supercomputer
3. Optimization of the Source Code of HPCG for MIC Co-Processor
3.1. Offload Programming Mode
3.2. Vectorization
4. HPCG Acceleration Methods
4.1. Basic Approach
4.2. Parameter Tuning
4.3. Further Acceleration based on MIC
4.4. Heat Dissipation of MIC Co-Processor
5. Experimental Test and Analysis
5.1. Experimental Platform
5.2. Optimization Results Analysis
6. Conclusion and Future Work
References
1. Introduction
2. HPCG: The Benchmark for Supercomputer
3. Optimization of the Source Code of HPCG for MIC Co-Processor
3.1. Offload Programming Mode
3.2. Vectorization
4. HPCG Acceleration Methods
4.1. Basic Approach
4.2. Parameter Tuning
4.3. Further Acceleration based on MIC
4.4. Heat Dissipation of MIC Co-Processor
5. Experimental Test and Analysis
5.1. Experimental Platform
5.2. Optimization Results Analysis
6. Conclusion and Future Work
References
저자정보
참고문헌
자료제공 : 네이버학술정보