| Automatically characterizing large scale program behavior T Sherwood, E Perelman, G Hamerly, B Calder ACM SIGPLAN Notices 37 (10), 45-57, 2002 | 1954 | 2002 |
| Learning the k in k-means G Hamerly, C Elkan Advances in neural information processing systems 16: proceedings of the …, 2004 | 918 | 2004 |
| Alternatives to the k-means algorithm that find better clusterings G Hamerly, C Elkan Proceedings of the eleventh international conference on Information and …, 2002 | 599 | 2002 |
| Simpoint 3.0: Faster and more flexible program phase analysis G Hamerly, E Perelman, J Lau, B Calder Journal of Instruction Level Parallelism 7 (4), 1-28, 2005 | 373 | 2005 |
| Using SimPoint for accurate and efficient simulation E Perelman, G Hamerly, M Van Biesbrouck, T Sherwood, B Calder ACM SIGMETRICS Performance Evaluation Review 31 (1), 318-319, 2003 | 354 | 2003 |
| Discovering and exploiting program phases T Sherwood, E Perelman, G Hamerly, S Sair, B Calder IEEE micro 23 (6), 84-93, 2003 | 330 | 2003 |
| Picking statistically valid and early simulation points E Perelman, G Hamerly, B Calder 2003 12th International Conference on Parallel Architectures and Compilation …, 2003 | 280 | 2003 |
| Bayesian approaches to failure prediction for disk drives G Hamerly, C Elkan ICML 1, 202-209, 2001 | 223 | 2001 |
| Making k-means even faster G Hamerly Proceedings of the 2010 SIAM international conference on data mining, 130-140, 2010 | 174 | 2010 |
| The strong correlation between code signatures and performance J Lau, J Sampson, E Perelman, G Hamerly, B Calder IEEE International Symposium on Performance Analysis of Systems and Software …, 2005 | 108 | 2005 |
| PG-means: learning the number of clusters in data Y Feng, G Hamerly Advances in Neural Information Processing Systems 19: Proceedings of the …, 2007 | 107 | 2007 |
| Performance evaluation and benchmarking LK John, L Eeckhout CRC Press, 2018 | 92 | 2018 |
| Motivation for variable length intervals and hierarchical phase behavior J Lau, E Perelman, G Hamerly, T Sherwood, B Calder IEEE International Symposium on Performance Analysis of Systems and Software …, 2005 | 87 | 2005 |
| How to use simpoint to pick simulation points G Hamerly, E Perelman, B Calder ACM SIGMETRICS Performance Evaluation Review 31 (4), 25-30, 2004 | 80 | 2004 |
| Accelerated k-means with adaptive distance bounds J Drake, G Hamerly 5th NIPS workshop on optimization for machine learning 8, 2012 | 72 | 2012 |
| Accelerating Lloyd’s Algorithm for k-Means Clustering G Hamerly, J Drake Partitional clustering algorithms, 41-78, 2015 | 65 | 2015 |
| Using machine learning to guide architecture simulation G Hamerly, E Perelman, J Lau, B Calder, T Sherwood Journal of Machine Learning Research 7 (Feb), 343-378, 2006 | 36 | 2006 |
| Cross binary simulation points E Perelman, J Lau, H Patil, A Jaleel, G Hamerly, B Calder 2007 IEEE International Symposium on Performance Analysis of Systems …, 2007 | 20 | 2007 |
| Detection of leukocoria using a soft fusion of expert classifiers under non-clinical settings P Rivas-Perea, E Baker, G Hamerly, BF Shaw BMC ophthalmology 14 (1), 110, 2014 | 18 | 2014 |
| A convolutional neural network approach for classifying leukocoria R Henning, P Rivas-Perea, B Shaw, G Hamerly 2014 Southwest Symposium on Image Analysis and Interpretation, 9-12, 2014 | 10 | 2014 |
Brad CalderGoogleVerified email at google.com
