Predictive modeling for computer architecture and HEC applications
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Journals
- Efficient Architectural Design Space Exploration via Predictive Modeling
E. İpek, S.A. McKee, K. Singh, R. Caruana, B.R. de Supinski, M. Schulz
ACM Transactions on Architecture and Code Optimization
to appear.
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or pdf
- Predicting Parallel Application Performance via Machine Learning Approaches
E. İpek, S.A. McKee, K. Singh, R. Caruana, B.R. de Supinski, M. Schulz
Wiley Concurrency and Computation: Practice and Experience
19(17), to appear.
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or pdf
Refereed Conferences
- Methods of Inference and Learning for
Performance Modeling of Parallel Applications
B.C. Lee, D.M. Brooks, B.R. de Supinski, M. Schulz, K. Singh , S.A. McKee
Proc. ACM SIGPLAN
Symposium on Principles and Practice of Parallel Programming, San Jose, CA, March 2007.
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or pdf
- Rethinking Processor Design: Parameter Correlations
N.B. Sam, S.A. McKee, P. Kudva
Proc. 13th IEEE International Conference on Electronics, Circuits and Systems (ICECS'06), Nice, FR, December 2006.
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or pdf
- Efficiently Exploring Architectural Design Spaces via Predictive Modeling
E. İpek, S.A. McKee, B.R. de Supinski, M. Schulz, R. Caruana
Proc. 12th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, San Jose, US, October 2006.
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- An Approach to Performance Prediction for Parallel Applications
E. İpek, B.R. de Supinski, M. Schulz, S.A. McKee
Proc. Euro-Par, Lisboa, Portugal, August 2005. Also Lecture Notes in Computer Science 3648, Springer-Verlag, Berlin, 2005.
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Refereed Workshops
- Identifying Energy-Efficient Concurrency Levels Using Machine Learning
M. Curtis-Maury, K. Singh, S.A. McKee, F. Blagojevic, D.S. Nikolopoulos, B.R. de Supinski, M. Schulz
Proc. 1st International Workshop on Green Computing (GreenCom'07, at IEEE Cluster Conference), Austin, TX, September 2007.
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Software Tools
