Greg Hamerly

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Brad CalderGoogleVerified email at google.com
Timothy SherwoodProfessor of Computer Science, UC Santa BarbaraVerified email at cs.ucsb.edu
Charles ElkanProfessor of Computer Science, University of California, San DiegoVerified email at ucsd.edu
Bryan F. ShawBaylor UniversityVerified email at baylor.edu
Pablo RivasComputer Science, Baylor UniversityVerified email at baylor.edu
Suleyman SairIntel CorporationVerified email at intel.com
Jack SampsonAssociate Professor, Pennsylvania State UniversityVerified email at psu.edu
Shaif ChowdhuryBaylor UniversityVerified email at baylor.edu
Shizuo MukaiAssociate Professor of OphthalmologyVerified email at meei.harvard.edu
Alexander Thomas KietzmanUndergraduate, Baylor UniversityVerified email at baylor.edu
Collin T. ZahlerBaylor UniversityVerified email at baylor.edu
Lisa DillerProfessor of PediatricsVerified email at dfci.harvard.edu
Greg SpeegleProfessor, Baylor UniversityVerified email at baylor.edu
Aamer JaleelIEEE Fellow; Principal Research Scientist at NVIDIA ResearchVerified email at nvidia.com
Harish PatilIntel CorporationVerified email at intel.com
Petr RyšavýFEE, Czech Technical University in PragueVerified email at fel.cvut.cz
Alibek ZhakubayevBaylor UniversityVerified email at nu.edu.kz
Sadia Nasrin TishaGraduate Research Assistant, University of Maryland, Baltimore CountyVerified email at umbc.edu
Korn SooksatraResearch Scientist at MetaVerified email at meta.com
Ivy HamerlySenior Lecturer, Political Science, Baylor UniversityVerified email at baylor.edu

Greg Hamerly

Baylor University

Verified email at baylor.edu - Homepage

Machine learning clustering architecture simulation


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Automatically characterizing large scale program behavior T Sherwood, E Perelman, G Hamerly, B Calder ACM SIGPLAN Notices 37 (10), 45-57, 2002	2301	2002
Learning the k in k-means G Hamerly, C Elkan Advances in neural information processing systems 16: proceedings of the …, 2004	1478	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	807	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	505	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	474	2003
Discovering and exploiting program phases T Sherwood, E Perelman, G Hamerly, S Sair, B Calder IEEE micro 23 (6), 84-93, 2003	387	2003
Picking statistically valid and early simulation points E Perelman, G Hamerly, B Calder 2003 12th International Conference on Parallel Architectures and Compilation …, 2003	322	2003
Bayesian approaches to failure prediction for disk drives G Hamerly, C Elkan ICML 1 (2001), 202-209, 2001	316	2001
Making k-means even faster G Hamerly Proceedings of the 2010 SIAM international conference on data mining, 130-140, 2010	285	2010
Accelerating Lloyd’s Algorithm for k-Means Clustering G Hamerly, J Drake Partitional clustering algorithms, 41-78, 2015	180	2015
PG-means: learning the number of clusters in data Y Feng, G Hamerly Advances in Neural Information Processing Systems 19: Proceedings of the …, 2007	143	2007
Accelerated k-means with adaptive distance bounds J Drake, G Hamerly 5th NIPS workshop on optimization for machine learning 8, 1-4, 2012	128	2012
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	125	2005
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	104	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	99	2004
Autonomous early detection of eye disease in childhood photographs MC Munson, DL Plewman, KM Baumer, R Henning, CT Zahler, ... Science advances 5 (10), eaax6363, 2019	43	2019
Using machine learning to guide architecture simulation. G Hamerly, E Perelman, J Lau, B Calder, T Sherwood, H Hirsh Journal of Machine Learning Research 7 (2), 2006	43	2006
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, 1-15, 2014	31	2014
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	23	2007
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	20	2014

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