Performance–energy adaptation of parallel programs in pervasive computing-Reference-Cited by-同舟云学术

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Performance–energy adaptation of parallel programs in pervasive computing

Published:2014-06-15 Issue:3 Volume:70 Page:1260-1278
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Zhu Liang,Jin Hai,Liao Xiaofei,Yue Jianhui

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s11227-014-1226-6.pdf

Reference30 articles.

1. Weldezion AY, Grange M, Pamunuwa D, Lu Z, Jantsch A, Weerasekera R, Tenhunen H (2009) Scalability of network-on-chip communication architecture for 3-D meshes. In: Proceedings of the 2009 3rd IEEE international symposium on networks-on-chip. IEEE Computer Society, New York, pp 114–123

2. Eyerman S, Du Bois K, Eeckhout L (2012) Speedup stacks: Identifying scaling bottlenecks in multi-threaded applications. In: Proceedings of IEEE international symposium on performance analysis of systems and software (ISPASS ’12). IEEE, New York, pp 145–155

3. Mikkilineni R, Seyler I (2011) Parallax—a new operating system for scalable, distributed, and parallel computing. In: Proceedings of IEEE international symposium on parallel and distributed processing workshops and Phd forum (IPDPSW ’11). IEEE, New York, pp 976–983

4. Korthikanti VA, Agha G, Greenstreet M (2011) On the energy complexity of parallel algorithms. In: Proceedings of 2011 international conference on parallel processing (ICPP ’11). IEEE, New York, pp 562–570

5. Sartori J, Kumar R (2010) Low-overhead, high-speed multi-core barrier synchronization. High performance embedded architectures and compilers. Springer, Berlin, pp 18–34

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