지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2011.10
- 수록면
- 755 - 759 (5page)
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초록· 키워드
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A multi-core system is commonly used in the general PC (Personal Computer) environment. There is a growing need for multi-core system in embedded environments with increasing usage of multi-core systems. Parallel programming is an important issue of a multi-core system, since it enables full use of the core system. Especially, OpenMP API provides an easy low-burdensome method for threading applications.
However, it is more difficult to develop parallel programming in the embedded level due to the memory size limitation and number of cores. For example, limitation of cache memory and data sharing architecture induce frequent data movement overhead between cache and main memory. Use of an excessive number of threads, regardless of number of cores, induces the "Heavy Contention" problem.
In this paper, we parallelize the a lot of kinds of quick sort algorithm using OpenMP 3.0 in the OMAP-4430 embedded environment and analyze the effect of parallelization considering memory size and number of cores with the "GNU Gprof’ profiler.
However, it is more difficult to develop parallel programming in the embedded level due to the memory size limitation and number of cores. For example, limitation of cache memory and data sharing architecture induce frequent data movement overhead between cache and main memory. Use of an excessive number of threads, regardless of number of cores, induces the "Heavy Contention" problem.
In this paper, we parallelize the a lot of kinds of quick sort algorithm using OpenMP 3.0 in the OMAP-4430 embedded environment and analyze the effect of parallelization considering memory size and number of cores with the "GNU Gprof’ profiler.
목차
Abstract
1. INTRODUCTION
2. OpenMP Features
3. QUICK SORT ALGORITHM
4. EXPERIMENTS AND ANALYSIS
5. CONCLUSION
ACKNOWLEDGEMENTS
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2014-569-000913509