| Real time power estimation and thread scheduling via performance counters K Singh, M Bhadauria, SA McKee ACM SIGARCH Computer Architecture News 37 (2), 46-55, 2009 | 429 | 2009 |
| Methods of inference and learning for performance modeling of parallel applications BC Lee, DM Brooks, BR de Supinski, M Schulz, K Singh, SA McKee Proceedings of the 12th ACM SIGPLAN symposium on Principles and practice of …, 2007 | 287 | 2007 |
| Portable, scalable, per-core power estimation for intelligent resource management B Goel, SA McKee, R Gioiosa, K Singh, M Bhadauria, M Cesati International Conference on Green Computing, 135-146, 2010 | 135 | 2010 |
| Predicting parallel application performance via machine learning approaches K Singh, E İpek, SA McKee, BR de Supinski, M Schulz, R Caruana Concurrency and Computation: Practice and Experience 19 (17), 2219-2235, 2007 | 86 | 2007 |
| Predicting parallel application performance via machine learning approaches K Singh Cornell University, 2007 | 86 | 2007 |
| Efficient architectural design space exploration via predictive modeling E Ipek, SA McKee, K Singh, R Caruana, BR Supinski, M Schulz ACM Transactions on Architecture and Code Optimization (TACO) 4 (4), 1-34, 2008 | 85 | 2008 |
| Machine learning based online performance prediction for runtime parallelization and task scheduling J Li, X Ma, K Singh, M Schulz, BR de Supinski, SA McKee 2009 IEEE International Symposium on Performance Analysis of Systems and …, 2009 | 80 | 2009 |
| Identifying energy-efficient concurrency levels using machine learning M Curtis-Maury, K Singh, SA McKee, F Blagojevic, DS Nikolopoulos, ... Cluster Computing, 2007 IEEE International Conference on, 488-495, 2007 | 49 | 2007 |
| Comparing scalability prediction strategies on an SMP of CMPs K Singh, M Curtis-Maury, SA McKee, F Blagojević, DS Nikolopoulos, ... European Conference on Parallel Processing, 143-155, 2010 | 20 | 2010 |
| Comparing scalability prediction strategies on an SMP of CMPs K Singh, M Curtis-Maury, A Shah, SA McKee, F Blagojevic, ... Cornell University, 2009 | 20 | 2009 |
| Prediction-based power estimation and scheduling for CMPs K Singh, M Bhadauria, SA McKee International Conference on Supercomputing, 501-502, 2009 | 12 | 2009 |
| Prediction strategies for power-aware computing on multicore processors K Singh Cornell University, 2009 | 10 | 2009 |
| A precisely tunable drowsy cache management mechanism M Bhadauria, SA McKee, K Singh, G Tyson Proceedings of Watson Conference on Interaction between Architecture …, 2006 | 4 | 2006 |
| Using machine learning to explore huge parameter spaces for high end computing applications: tools and examples K Singh, SA McKee, BR de Supinski, M Schulz Cornell University, 2007 | 2 | 2007 |
| Leveraging high performance data cache techniques to save power in embedded systems M Bhadauria, SA McKee, K Singh, GS Tyson International Conference on High-Performance Embedded Architectures and …, 2007 | 2 | 2007 |
| Data Cache Techniques to Save Power and Deliver High Performance in Embedded Systems M Bhadauria, SA McKee, K Singh, GS Tyson Transactions on High-Performance Embedded Architectures and Compilers II, 65-84, 2009 | 1 | 2009 |
| Learning Models in Self-Optimizing Systems K Singh, V Weaver Software Design for High Performance Architectures, 2007 | 1 | 2007 |
Sally A. McKeeVerified email at aya.yale.edu
Sally A. McKeeVerified email at aya.yale.edu