John Cavazos

Publication Activity (10 Years)

Years Active: 1996-2019
Publications (10 Years): 10

Top Topics

Abstraction Hierarchy

Predictive Modeling

Machine Learning

Top Venues

ACM Trans. Archit. Code Optim.

Publications

Amir H. Ashouri, William Killian, John Cavazos, Gianluca Palermo, Cristina Silvano
A Survey on Compiler Autotuning using Machine Learning. ACM Comput. Surv. 51 (5) (2019)
Amir Hossein Ashouri, William Killian, John Cavazos, Gianluca Palermo, Cristina Silvano
A Survey on Compiler Autotuning using Machine Learning. CoRR (2018)
William Killian, Tom Scogland, Adam Kunen, John Cavazos
The Design and Implementation of OpenMP 4.5 and OpenACC Backends for the RAJA C++ Performance Portability Layer. WACCPD@SC (2017)
Robert Searles, Lifan Xu, William Killian, Tristan Vanderbruggen, Teague Forren, John Howe, Zachary Pearson, Corey Shannon, Joshua Simmons, John Cavazos
Parallelization of Machine Learning Applied to Call Graphs of Binaries for Malware Detection. PDP (2017)
Tristan Vanderbruggen, John Cavazos, Chunhua Liao, Daniel J. Quinlan
Directive-based tile abstraction to distribute loops on accelerators. GPGPU@PPoPP (2017)
Amir Hossein Ashouri, Andrea Bignoli, Gianluca Palermo, Cristina Silvano, Sameer Kulkarni, John Cavazos
MiCOMP: Mitigating the Compiler Phase-Ordering Problem Using Optimization Sub-Sequences and Machine Learning. ACM Trans. Archit. Code Optim. 14 (3) (2017)
Wei Wang, Allan Porterfield, John Cavazos, Sridutt Bhalachandra
Compiler Transformations Meet CPU Clock Modulation and Power Capping. ICPP Workshops (2016)
Lifan Xu, Dong Ping Zhang, Marco A. Alvarez, Jose Andre Morales, Xudong Ma, John Cavazos
Dynamic Android Malware Classification Using Graph-Based Representations. CSCloud (2016)
Amir Hossein Ashouri, Giovanni Mariani, Gianluca Palermo, Eunjung Park, John Cavazos, Cristina Silvano
COBAYN: Compiler Autotuning Framework Using Bayesian Networks. ACM Trans. Archit. Code Optim. 13 (2) (2016)
Lifan Xu, Dong Ping Zhang, Nuwan Jayasena, John Cavazos
HADM: Hybrid Analysis for Detection of Malware. IntelliSys (2) (2016)
Wei Wang, Allan Porterfield, John Cavazos, Sridutt Bhalachandra
Using Per-Loop CPU Clock Modulation for Energy Efficiency in OpenMP Applications. ICPP (2015)
John Cavazos
HIPS Introduction and Committees. IPDPS Workshops (2014)
Tristan Vanderbruggen, John Cavazos
Generating OpenCL C kernels from OpenACC. IWOCL (2014)
Eunjung Park, Christos Kartsaklis, John Cavazos
HERCULES: Strong Patterns towards More Intelligent Predictive Modeling. ICPP (2014)
Christos Kartsaklis, Eunjung Park, John Cavazos
HSLOT: the HERCULES scriptable loop transformations engine. WOLFHPC@SC (2014)
Sameer Kulkarni, John Cavazos, Christian Wimmer, Doug Simon
Automatic construction of inlining heuristics using machine learning. CGO (2013)
Eunjung Park, John Cavazos, Louis-Noël Pouchet, Cédric Bastoul, Albert Cohen, P. Sadayappan
Predictive Modeling in a Polyhedral Optimization Space. Int. J. Parallel Program. 41 (5) (2013)
Scott Grauer-Gray, William Killian, Robert Searles, John Cavazos
Accelerating financial applications on the GPU. GPGPU@ASPLOS (2013)
Qingping Wang, Sameer Kulkarni, John Cavazos, Michael F. Spear
A transactional memory with automatic performance tuning. ACM Trans. Archit. Code Optim. 8 (4) (2012)
Eunjung Park, John Cavazos, Marco A. Alvarez
Using graph-based program characterization for predictive modeling. CGO (2012)
Sameer Kulkarni, John Cavazos
Mitigating the compiler optimization phase-ordering problem using machine learning. OOPSLA (2012)
Wei Wang, H. Howie Huang, Matthew W. Kay, John Cavazos
GPGPU accelerated cardiac arrhythmia simulations. EMBC (2011)
Eunjung Park, Sameer Kulkarni, John Cavazos
An evaluation of different modeling techniques for iterative compilation. CASES (2011)
Eunjung Park, Louis-Noël Pouchet, John Cavazos, Albert Cohen, P. Sadayappan
Predictive modeling in a polyhedral optimization space. CGO (2011)
Scott Grauer-Gray, John Cavazos
Optimizing and Auto-tuning Belief Propagation on the GPU. LCPC (2010)
Boubacar Diouf, Albert Cohen, Fabrice Rastello, John Cavazos
Split Register Allocation: Linear Complexity Without the Performance Penalty. HiPEAC (2010)
Anthony Danalis, Lori L. Pollock, D. Martin Swany, John Cavazos
MPI-aware compiler optimizations for improving communication-computation overlap. ICS (2009)
Anthony Danalis, Aaron Brown, Lori L. Pollock, D. Martin Swany, John Cavazos
Gravel: A Communication Library to Fast Path MPI. PVM/MPI (2008)
Ben Breech, Lori L. Pollock, John Cavazos
RUGRAT: Runtime Test Case Generation Using Dynamic Compilers. ISSRE (2008)
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)
John Cavazos
Intelligent compilers. CLUSTER (2008)
Louis-Noël Pouchet, Cédric Bastoul, Albert Cohen, John Cavazos
Iterative optimization in the polyhedral model: part ii, multidimensional time. PLDI (2008)
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)
Salman Khan, Polychronis Xekalakis, John Cavazos, Marcelo Cintra
Using PredictiveModeling for Cross-Program Design Space Exploration in Multicore Systems. PACT (2007)
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)
Jeremy Singer, Gavin Brown, Ian Watson, John Cavazos
Intelligent selection of application-specific garbage collectors. ISMM (2007)
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)
Edwin V. Bonilla, Christopher K. I. Williams, Felix V. Agakov, John Cavazos, John Thomson, Michael F. P. O'Boyle
Predictive search distributions. ICML (2006)
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)
John Cavazos, J. Eliot B. Moss, Michael F. P. O'Boyle
Hybrid Optimizations: Which Optimization Algorithm to Use?. CC (2006)
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)
John Cavazos, Michael F. P. O'Boyle
Method-specific dynamic compilation using logistic regression. OOPSLA (2006)
John Cavazos, Michael F. P. O'Boyle
Automatic Tuning of Inlining Heuristics. SC (2005)
John Cavazos, J. Eliot B. Moss
Inducing heuristics to decide whether to schedule. PLDI (2004)
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)
John Cavazos
Road crew: students at work. XRDS 4 (3) (1998)
John Cavazos
Road crew: students at work. XRDS 3 (4) (1997)
John Cavazos
Road crew: students at work. XRDS 3 (3) (1997)
John Cavazos
Road crew: students at work. XRDS 4 (2) (1997)
John Cavazos
Road crew: students at work. XRDS 4 (1) (1997)
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)
John Cavazos
Computer games: introduction. XRDS 3 (2) (1996)
John Cavazos
Road crew: students at work. XRDS 3 (2) (1996)