A Holistic Approach towards Automated Performance Analysis and Tuning

Author:

Cong Guogjing,Chung I-Hsin,Wen Huifang,Klepacki David,Murata Hiroki,Negishi Yasushi,Moriyama Takao

Publisher

Springer Berlin Heidelberg

Reference16 articles.

1. Bastoul, C.: Code generation in the polyhedral model is easier than you think. In: Proc. 13th international conference on parallel architecture and compilation techniques, Antibes Juan-les-Pins, France, September 2004, pp. 7–16 (2004)

2. Bhatele, A., Cong, G.: A selective profiling tool: towards automatic performance tuning. In: Proc. 3rd Workshop on System Management Techniques, Processes and Services (SMTPS 2007), Long beach, California (March 2007)

3. Lecture Notes in Computer Science;W. Chen,1993

4. Cong, G., Seelam, S., et al.: Towards next-generation performance optimization tools: A case study. In: Proc. 1st Workshop on Tools Infrastructures and Methodologies for the Evaluation of Research Systems, Austin, TX (March 2007)

5. DeRose, L., Ekanadham, K., Hollingsworth, J.K., Sbaraglia, S.: Sigma: a simulator infrastructure to guide memory analysis. In: Proceedings of the 2002 ACM/IEEE conference on Supercomputing, pp. 1–13 (2002)

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Efficient Framework for Multi-dimensional Tuning of High Performance Computing Applications;2012 IEEE 26th International Parallel and Distributed Processing Symposium;2012-05

2. A Systematic Approach toward Automated Performance Analysis and Tuning;IEEE Transactions on Parallel and Distributed Systems;2012-03

3. Guided Performance Analysis Combining Profile and Trace Tools;Euro-Par 2010 Parallel Processing Workshops;2011

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