Earticle

초록

영어

OpenCL (Open Computing Language) is a heterogeneous programming framework for developing applications that executes across a range of device types made by different vendors[11] which efficiently maps to both heterogeneous and homogeneous, single or multiple device system consisting of CPUs, GPUs and others types of devices. OpenCL provides many benefits in the field of high-performance computing and one of the most important aspects is its portability. This paper presents a comparison of the performance of OpenCL executing a matrix multiplication over a manycore CPU and GPU with performance analysis. The analysis are carried out to understand manycore CPU and GPU performance characteristics. Such analysis approach can be further extended to include more system parameters and refined to fit the actual execution time of parallelized applications. The simulation uses Ubuntu 12.04 in a desktop with an Intel i7 960 processor and a graphic card Nvidia GeForce GTX 460.

목차

Abstract
 1. Introduction
 2. OpenCL
 3. The OpenCL architecture
  3.1. The platform model
  3.2. The Execution Model
  3.3. The Memory Model
  3.4. The Programming Model
 4. Experiments
 5. Experiment Results
  5.1. Interpretation of manycore performance
  5.2. Decision of computing resource type
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Rafael Alejandro Vejarano [ Dept. of Computer Engineering, Hallym University ]
• Phuong Thi Yen [ Dept. of Computer Engineering, Hallym University ]
• Jeong-Gun Lee [ Dept. of Computer Engineering, Hallym University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605