John Cavazos, Ph.D.

2005 University of Massachusetts, Amherst, Amherst, MA 
Computer Science
"John Cavazos"


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J Eliot B. Moss grad student 2005 U Mass Amherst
 (Automatically constructing compiler optimization heuristics using supervised learning.)
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Ashouri AH, Killian W, Cavazos J, et al. (2019) A Survey on Compiler Autotuning using Machine Learning Acm Computing Surveys. 51: 1-42
Ashouri AH, Bignoli A, Palermo G, et al. (2017) MiCOMP Acm Transactions On Architecture and Code Optimization. 14: 1-28
Ashouri AH, Mariani G, Palermo G, et al. (2016) COBAYN: Compiler autotuning framework using Bayesian networks Acm Transactions On Architecture and Code Optimization. 13
Park E, Kartsaklis C, Cavazos J. (2014) HERCULES: Strong patterns towards more intelligent predictive modeling Proceedings of the International Conference On Parallel Processing. 2014: 172-181
Kulkarni S, Cavazos J. (2012) Mitigating the compiler optimization phase-ordering problem using machine learning Proceedings of the Conference On Object-Oriented Programming Systems, Languages, and Applications, Oopsla. 147-162
Grauer-Gray S, Xu L, Searles R, et al. (2012) Auto-tuning a high-level language targeted to GPU codes 2012 Innovative Parallel Computing, Inpar 2012
Park E, Pouche LN, Cavazos J, et al. (2011) Predictive modeling in a polyhedral optimization space Proceedings - International Symposium On Code Generation and Optimization, Cgo 2011. 119-129
Diouf B, Cohen A, Rastello F, et al. (2010) Split register allocation: Linear complexity without the performance penalty Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5952: 66-80
Danalis A, Pollock L, Swany M, et al. (2009) MPI-aware compiler optimizations for improving communication-computation overlap Proceedings of the International Conference On Supercomputing. 316-325
Pouchet LN, Bastoul C, Cohen A, et al. (2008) Iterative optimization in the polyhedral model: Part II, multidimensional time Acm Sigplan Notices. 43: 90-100
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