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John Cavazos
2010 – today
- 2013
[c27]Sameer Kulkarni, John Cavazos, Christian Wimmer, Doug Simon: Automatic construction of inlining heuristics using machine learning. CGO 2013: 1-12- 2012
- [j1]Qingping Wang, Sameer Kulkarni, John Cavazos, Michael F. Spear: A transactional memory with automatic performance tuning. TACO 8(4): 54 (2012)
- [c26]Eunjung Park, John Cavazos, Marco A. Alvarez: Using graph-based program characterization for predictive modeling. CGO 2012: 196-206
- [c25]Sameer Kulkarni, John Cavazos: Mitigating the compiler optimization phase-ordering problem using machine learning. OOPSLA 2012: 147-162
- 2011
- [c24]Eunjung Park, Sameer Kulkarni, John Cavazos: An evaluation of different modeling techniques for iterative compilation. CASES 2011: 65-74
- [c23]Eunjung Park, Louis-Noël Pouchet, John Cavazos, Albert Cohen, P. Sadayappan: Predictive modeling in a polyhedral optimization space. CGO 2011: 119-129
- 2010
- [c22]Boubacar Diouf, Albert Cohen, Fabrice Rastello, John Cavazos: Split Register Allocation: Linear Complexity Without the Performance Penalty. HiPEAC 2010: 66-80
- [c21]Scott Grauer-Gray, John Cavazos: Optimizing and Auto-tuning Belief Propagation on the GPU. LCPC 2010: 121-135
- [e1]Guang R. Gao, Lori L. Pollock, John Cavazos, Xiaoming Li (Eds.): Languages and Compilers for Parallel Computing, 22nd International Workshop, LCPC 2009, Newark, DE, USA, October 8-10, 2009, Revised Selected Papers. Lecture Notes in Computer Science 5898, Springer 2010, ISBN 978-3-642-13373-2
2000 – 2009
- 2009
- [c20]Anthony Danalis, Lori L. Pollock, D. Martin Swany, John Cavazos: MPI-aware compiler optimizations for improving communication-computation overlap. ICS 2009: 316-325
- 2008
- [c19]
- [c18]Timothy M. Jones, Sandro Bartolini, Bruno De Bus, John Cavazos, Michael F. P. O'Boyle: Instruction Cache Energy Saving Through Compiler Way-Placement. DATE 2008: 1196-1201
- [c17]Ben Breech, Lori L. Pollock, John Cavazos: RUGRAT: Runtime Test Case Generation Using Dynamic Compilers. ISSRE 2008: 137-146
- [c16]Louis-Noël Pouchet, Cédric Bastoul, Albert Cohen, John Cavazos: Iterative optimization in the polyhedral model: part ii, multidimensional time. PLDI 2008: 90-100
- [c15]Anthony Danalis, Aaron Brown, Lori L. Pollock, D. Martin Swany, John Cavazos: Gravel: A Communication Library to Fast Path MPI. PVM/MPI 2008: 111-119
- 2007
- [c14]Salman Khan, Polychronis Xekalakis, John Cavazos, Marcelo Cintra: Using PredictiveModeling for Cross-Program Design Space Exploration in Multicore Systems. PACT 2007: 327-338
- [c13]Christophe Dubach, John Cavazos, Björn Franke, Grigori Fursin, Michael F. P. O'Boyle, Olivier Temam: Fast compiler optimisation evaluation using code-feature based performance prediction. Conf. Computing Frontiers 2007: 131-142
- [c12]John Cavazos, Grigori Fursin, Felix V. Agakov, Edwin V. Bonilla, Michael F. P. O'Boyle, Olivier Temam: Rapidly Selecting Good Compiler Optimizations using Performance Counters. CGO 2007: 185-197
- [c11]Grigori Fursin, John Cavazos, Michael F. P. O'Boyle, Olivier Temam: MiDataSets: Creating the Conditions for a More Realistic Evaluation of Iterative Optimization. HiPEAC 2007: 245-260
- [c10]Jeremy Singer, Gavin Brown, Ian Watson, John Cavazos: Intelligent selection of application-specific garbage collectors. ISMM 2007: 91-102
- 2006
- [c9]John Cavazos, Christophe Dubach, Felix V. Agakov, Edwin V. Bonilla, Michael F. P. O'Boyle, Grigori Fursin, Olivier Temam: Automatic performance model construction for the fast software exploration of new hardware designs. CASES 2006: 24-34
- [c8]John Cavazos, J. Eliot B. Moss, Michael F. P. O'Boyle: Hybrid Optimizations: Which Optimization Algorithm to Use?. CC 2006: 124-138
- [c7]Felix V. Agakov, Edwin V. Bonilla, John Cavazos, Björn Franke, Grigori Fursin, Michael F. P. O'Boyle, John Thomson, Marc Toussaint, Christopher K. I. Williams: Using Machine Learning to Focus Iterative Optimization. CGO 2006: 295-305
- [c6]Edwin V. Bonilla, Christopher K. I. Williams, Felix V. Agakov, John Cavazos, John Thomson, Michael F. P. O'Boyle: Predictive search distributions. ICML 2006: 121-128
- [c5]John Cavazos, Michael F. P. O'Boyle: Method-specific dynamic compilation using logistic regression. OOPSLA 2006: 229-240
- 2005
- [c4]
- 2004
- [c3]John Cavazos, J. Eliot B. Moss: Inducing heuristics to decide whether to schedule. PLDI 2004: 183-194
- 2000
- [c2]Stephen M. Blackburn, John Cavazos, Sharad Singhai, Asjad M. Khan, Kathryn S. McKinley, J. Eliot B. Moss, Sara Smolensky: Profile-driven pretenuring for Java (poster session). OOPSLA Addendum 2000: 129-130
1990 – 1999
- 1997
- [c1]J. Eliot B. Moss, Paul E. Utgoff, John Cavazos, Doina Precup, Darko Stefanovic, Carla E. Brodley, David Scheeff: Learning to Schedule Straight-Line Code. NIPS 1997
Coauthor Index
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last updated on 2013-05-15 02:45 CEST by the dblp team