• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 63 matches

• 2019
• 
  Amir H. Ashouri, William Killian, John Cavazos, Gianluca Palermo, Cristina Silvano:
  A Survey on Compiler Autotuning using Machine Learning. ACM Comput. Surv. 51(5): 96:1-96:42 (2019)
• 2018
• 
  Amir H. Ashouri, Gianluca Palermo, John Cavazos, Cristina Silvano:
  Automatic Tuning of Compilers Using Machine Learning. SpringerBriefs in Applied Sciences and Technology, Springer 2018, ISBN 978-3-319-71488-2, pp. 1-118
• 
  David R. Kaeli, John Cavazos:
  11th Workshop on General Purpose Processing using GPUs, GPGPU@PPoPP 2018, February 25, 2018, Vosendorf (Vienna), Austria. ACM 2018 [contents]
• 
  Amir Hossein Ashouri, William Killian, John Cavazos, Gianluca Palermo, Cristina Silvano:
  A Survey on Compiler Autotuning using Machine Learning. CoRR abs/1801.04405 (2018)
• 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): 29:1-29:28 (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: 69-77
• 
  Tristan Vanderbruggen, John Cavazos, Chunhua Liao, Daniel J. Quinlan:
  Directive-based tile abstraction to distribute loops on accelerators. GPGPU@PPoPP 2017: 53-62
• 
  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: 63-82
• 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): 21:1-21:25 (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: 220-231
• 
  Wei Wang, Allan Porterfield, John Cavazos, Sridutt Bhalachandra:
  Compiler Transformations Meet CPU Clock Modulation and Power Capping. ICPP Workshops 2016: 266-272
• 
  Lifan Xu, Dong Ping Zhang, Nuwan Jayasena, John Cavazos:
  HADM: Hybrid Analysis for Detection of Malware. IntelliSys (2) 2016: 702-724
• 
  David R. Kaeli, John Cavazos:
  Proceedings of the 9th Annual Workshop on General Purpose Processing using Graphics Processing Unit, GPGPU@PPoPP 2016, Barcelona, Spain, March 12 - 16, 2016. ACM 2016, ISBN 978-1-4503-4195-0 [contents]
• 2015
• 
  Wei Wang, Allan Porterfield, John Cavazos, Sridutt Bhalachandra:
  Using Per-Loop CPU Clock Modulation for Energy Efficiency in OpenMP Applications. ICPP 2015: 629-638
• 
  David R. Kaeli, John Cavazos:
  Proceedings of the 8th Workshop on General Purpose Processing using GPUs, GPGPU@PPoPP 2015, San Francisco, CA, USA, February 7, 2015. ACM 2015, ISBN 978-1-4503-3407-5 [contents]
• 2014
• 
  Eunjung Park, Christos Kartsaklis, John Cavazos:
  HERCULES: Strong Patterns towards More Intelligent Predictive Modeling. ICPP 2014: 172-181
• 
  John Cavazos:
  HIPS Introduction and Committees. IPDPS Workshops 2014: 311
• 
  Tristan Vanderbruggen, John Cavazos:
  Generating OpenCL C kernels from OpenACC. IWOCL 2014: 9:1-9:10
• 
  Christos Kartsaklis, Eunjung Park, John Cavazos:
  HSLOT: the HERCULES scriptable loop transformations engine. WOLFHPC@SC 2014: 31-41
• 
  John Cavazos, Xiang Gong, David R. Kaeli:
  Seventh Workshop on General Purpose Processing Using GPUs, GPGPU-7, Salt Lake City, UT, USA, March 1, 2014. ACM 2014, ISBN 978-1-4503-2766-4 [contents]
• 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): 704-750 (2013)
• 
  Scott Grauer-Gray, William Killian, Robert Searles, John Cavazos:
  Accelerating financial applications on the GPU. GPGPU@ASPLOS 2013: 127-136
• 
  Sameer Kulkarni, John Cavazos, Christian Wimmer, Doug Simon:
  Automatic construction of inlining heuristics using machine learning. CGO 2013: 9:1-9:12
• 
  John Cavazos, Xiang Gong, David R. Kaeli:
  Proceedings of the 6th Workshop on General Purpose Processor Using Graphics Processing Units, GPGPU-6, Houston, Texas, USA, March 16, 2013. ACM 2013, ISBN 978-1-4503-2017-7 [contents]
• 2012
• 
  Qingping Wang, Sameer Kulkarni, John Cavazos, Michael F. Spear:
  A transactional memory with automatic performance tuning. ACM Trans. Archit. Code Optim. 8(4): 54:1-54:23 (2012)
• 
  Eunjung Park, John Cavazos, Marco A. Alvarez:
  Using graph-based program characterization for predictive modeling. CGO 2012: 196-206
• 
  Sameer Kulkarni, John Cavazos:
  Mitigating the compiler optimization phase-ordering problem using machine learning. OOPSLA 2012: 147-162
• 
  David R. Kaeli, John Cavazos, Enqiang Sun:
  The 5th Annual Workshop on General Purpose Processing with Graphics Processing Units, GPGPU-5, London, United Kingdom, March 3, 2012. ACM 2012, ISBN 978-1-4503-1233-2 [contents]
• 2011
• 
  Eunjung Park, Sameer Kulkarni, John Cavazos:
  An evaluation of different modeling techniques for iterative compilation. CASES 2011: 65-74
• 
  Eunjung Park, Louis-Noël Pouchet, John Cavazos, Albert Cohen, P. Sadayappan:
  Predictive modeling in a polyhedral optimization space. CGO 2011: 119-129

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