Philippe Clauss
Domaines de recherche
Compétences
Publications
Publications
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Algebraic Tiling facing Loop SkewingIMPACT 2024, 14th International Workshop on Polyhedral Compilation Techniques, Jan 2024, Munich (Allemagne), Germany |
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Extending the Task Dataflow Model with Speculative Data AccessesCOMPAS 2023 - Conférence francophone d'informatique en Parallélisme, Architecture et Système, Jul 2023, Annecy (France), France |
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Algebraic TilingIMPACT 2023, 13th International Workshop on Polyhedral Compilation Techniques, Jan 2023, Toulouse, France |
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Runtime Multi-versioning and Specialization inside a Memoized Speculative Loop OptimizerCC 2020 - 29th International Conference on Compiler Construction, Feb 2020, San Diego, United States. ⟨10.1145/3377555.3377886⟩ |
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Uniform Random Sampling in PolyhedraIMPACT 2020 - 10th International Workshop on Polyhedral Compilation Techniques, Jan 2020, Bologna, Italy |
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The Polyhedral Model Beyond Loops Recursion Optimization and Parallelization Through Polyhedral ModelingIMPACT 2019 - 9th International Workshop on Polyhedral Compilation Techniques, In conjunction with HiPEAC 2019, Jan 2019, Valencia, Spain |
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Polyhedral Optimization For JavaScript: The ChallengesIMPACT 2018 - 8th International Workshop on Polyhedral Compilation Techniques, Jan 2018, Manchester, United Kingdom |
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AutoParallel: A Python module for automatic parallelization and distributed execution of affine loop nestsPyHPC 2018 - 8th Workshop on Python for High-Performance and Scientific Computing, Nov 2018, Dallas, TX, United States |
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Automatic Collapsing of Non-Rectangular LoopsParallel and Distributed Processing Symposium (IPDPS), 2017, May 2017, Orlando, United States. pp.778 - 787, ⟨10.1109/IPDPS.2017.34⟩ |
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APOLLO: Automatic speculative POLyhedral Loop OptimizerIMPACT 2017 - 7th International Workshop on Polyhedral Compilation Techniques, Jan 2017, Stockholm, Sweden. pp.8 |
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Code Bones: Fast and Flexible Code Generation for Dynamic and Speculative Polyhedral OptimizationEuro-Par 2016, Aug 2016, Grenoble, France. pp.12, ⟨10.1007/978-3-319-43659-3_17⟩ |
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XFOR: Filling the Gap between Automatic Loop Optimization and Peak Performance14th International Symposium on Parallel and Distributed Computing, Jun 2015, Limassol, Cyprus. ⟨10.1109/ISPDC.2015.19⟩ |
Dynamic Re-Vectorization of Binary CodeInternational Conference on Embedded Computer Systems: Architectures, Modeling and Simulation - SAMOS XV, Jul 2015, Agios Konstantinos, Greece |
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Speculative Runtime Parallelization of Loop Nests: Towards Greater Scope and Efficiency20th International Workshop on High-level Parallel Programming Models and Supportive Environments, held in conjunction with 29th IEEE International Parallel & Distributed Processing Symposium, May 2015, Hyderabad, India |
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Mind The Gap! A study of some pitfalls preventing peak performance in polyhedral compilation using a polyhedral antidoteIMPACT 2015, Fifth International Workshop on Polyhedral Compilation Techniques, In conjunction with HiPEAC 2015, Jan 2015, Amsterdam, Netherlands |
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Software-controlled Processor Stalls for Time and Energy Efficient Data Locality OptimizationInternational Conference on Embedded Computer Systems: Architectures, Modeling and Simulation - SAMOS XIV, Jul 2014, Agios Konstantinos, Greece |
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Counting Solutions to Linear and Nonlinear Constraints Through Ehrhart Polynomials: Applications to Analyze and Transform Scientific ProgramsICS, International Conference on Supercomputing, 2014, Munich, Germany. ⟨10.1145/2591635.2667172⟩ |
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Author Retrospective for Counting Solutions to Linear and Nonlinear Constraints Through Ehrhart Polynomials: Applications to Analyze and Transform Scientific ProgramsICS, International Conference on Supercomputing, 2014, New York, United States. ⟨10.1145/2591635.2591654⟩ |
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PADRONE: a Platform for Online Profiling, Analysis, and OptimizationDCE 2014 - International workshop on Dynamic Compilation Everywhere, Jan 2014, Vienne, Austria |
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Speculative Program Parallelization with Scalable and Decentralized Runtime VerificationRuntime Verification, Sep 2014, Toronto, Canada. pp.124-139, ⟨10.1007/978-3-319-11164-3_11⟩ |
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Online Dynamic Dependence Analysis for Speculative Polyhedral ParallelizationEuro-Par 2013, Aug 2013, Aachen, Germany. pp.191-202, ⟨10.1007/978-3-642-40047-6_21⟩ |
Dynamic and Speculative Polyhedral Parallelization Using Compiler-Generated SkeletonsInternational Symposium on High-level Parallel Programming and Applications, HLPP, Jul 2013, Paris, France |
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Multifor for MulticoreIMPACT 2013, Third International Workshop on Polyhedral Compilation Techniques, Armin Grösslinger, Louis-Noël Pouchet, Jan 2013, Berlin, Germany. pp.37-44 |
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Does dynamic and speculative parallelization enable advanced parallelizing and optimizing code transformations?DCE - 1st International Workshop on Dynamic compilation from SoC to Web Browser via HPC, in conjonction with HiPEAC 2012, Henri-Pierre Charles and Philippe Clauss and Frédéric Pétrot, Jan 2012, Paris, France |
Profiling Data-Dependence to Assist Parallelization: Framework, Scope, and OptimizationMICRO-45, The 45th Annual IEEE/ACM International Symposium on Microarchitecture, Dec 2012, Vancouver, Canada |
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VMAD: an Advanced Dynamic Program Analysis & Instrumentation FrameworkCC - 21st International Conference on Compiler Construction, Mar 2012, Tallinn, Estonia. pp.220-237 |
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Adapting the Polyhedral Model as a Framework for Efficient Speculative ParallelizationPPoPP - 17th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Feb 2012, New Orleans, United States |
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Handling Multi-Versioning in LLVM: Code Tracking and CloningWIR 2011: Workshop on Intermediate Representations, in conjunction with CGO 2011, Florent Bouchez, Sebastian Hack, Eelco Visser, Apr 2011, Chamonix, France |
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Adaptive Runtime Selection of Parallel Schedules in the Polytope Model19th High Performance Computing Symposium - HPC 2011, Apr 2011, Boston, United States |
Efficient Memory Tracing by Program SkeletonizationIEEE International Symposium on Performance Analysis of Systems and Software, ISPASS, Apr 2011, Austin, United States |
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Transparent Parallelization of Binary CodeFirst International Workshop on Polyhedral Compilation Techniques, IMPACT 2011, in conjunction with CGO 2011, Christophe Alias, Cédric Bastoul, Apr 2011, Chamonix, France |
VMAD: a Virtual Machine for Advanced Dynamic Analysis of ProgramsIEEE International Symposium on Performance Analysis of Systems and Software, ISPASS, Apr 2011, Austin, United States |
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Recovering the Memory Behavior of Executable Programs10th IEEE Working Conference on Source Code Analysis and Manipulation, SCAM, Sep 2010, Timisoara, Romania |
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Efficient Parallel Implementation of Evolutionary Algorithms on GPGPU Cards15th International Euro-Par Conference on Parallel Processing 2009, Aug 2009, Delft, Netherlands. pp.974 - 985, ⟨10.1007/978-3-642-03869-3_89⟩ |
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Automatic Prefetching with Binary Code Rewriting in Object-Based DSMs14th international Euro-Par conference on Parallel Processing, Aug 2008, Las Palmas de Gran Canaria, Spain. pp.643 - 653, ⟨10.1007/978-3-540-85451-7_69⟩ |
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Prediction and trace compression of data access addresses through nested loop recognition6th annual IEEE/ACM international symposium on Code generation and optimization, Apr 2008, Boston, United States. pp.94-103, ⟨10.1145/1356058.1356071⟩ |
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Esodyp+: Prefetching in the Jackal Software DSM13th International Euro-Par Conference, Aug 2007, Rennes, France. pp.563-573, ⟨10.1007/978-3-540-74466-5_60⟩ |
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Performance driven data cache prefetching in a dynamic software optimization system21st annual international conference on Supercomputing, Jun 2007, Seattle, United States. pp.202 - 209, ⟨10.1145/1274971.1275000⟩ |
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AutoParallel: Automatic parallelisation and distributed execution of affine loop nests in PythonInternational Journal of High Performance Computing Applications, 2020, 34 (6), pp.1 - 14. ⟨10.1177/1094342020937050⟩ |
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Runtime Vectorization Transformations of Binary CodeInternational Journal of Parallel Programming, 2017, 8 (6), pp.1536 - 1565. ⟨10.1007/s10766-016-0480-z⟩ |
Full runtime polyhedral optimizing loop transformations with the generation, instantiation, and scheduling of code-bonesConcurrency and Computation: Practice and Experience, 2017, 29 (15), ⟨10.1002/cpe.4192⟩ |
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The Polyhedral Model of Nonlinear LoopsACM Transactions on Architecture and Code Optimization, 2016, 12 (4), ⟨10.1145/2838734⟩ |
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Recovering memory access patterns of executable programsScience of Computer Programming, 2014, 80, pp.440-456. ⟨10.1016/j.scico.2012.08.002⟩ |
Dynamic and Speculative Polyhedral Parallelization Using Compiler-Generated SkeletonsInternational Journal of Parallel Programming, 2014, 42 (4), pp.529-545 |
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Polyhedral parallelization of binary codeACM Transactions on Architecture and Code Optimization, 2012, Special issue on high-performance and embedded architectures and compilers, 8 (4), pp.39:1--39:21. ⟨10.1145/2086696.2086718⟩ |
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Symbolic polynomial maximization over convex sets and its application to memory requirement estimationIEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2009, 17 (8), pp.983-996. ⟨10.1109/TVLSI.2008.2002049⟩ |
A meta-predictor framework for prefetching in object-based DSMsConcurrency and Computation: Practice and Experience, 2009, 21 (14), pp.1789-1803. ⟨10.1002/cpe.1443⟩ |
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Precise data locality optimization of nested loopsJournal of Supercomputing, 2002, 21 (1), pp.37-76. ⟨10.1023/A:1013535431127⟩ |
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Parametric Analysis of Polyhedral Iteration SpacesJournal of Signal Processing Systems, 1998, 19 (2), pp.179-194. ⟨10.1023/A:1008069920230⟩ |
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Rec2Poly: Converting Recursions to Polyhedral Optimized Loops Using an Inspector-Executor StrategySAMOS 2020: Embedded Computer Systems: Architectures, Modeling, and Simulation, pp.96-109, 2020, ⟨10.1007/978-3-030-60939-9_7⟩ |
Polyhedral Techniques for Parametric Memory Requirement EstimationBalasa, F. and Pradhan, D. Energy-Aware Memory Management for Embedded Multimedia Systems: A Computer-Aided Design Approach, Taylor and Francis, 2011, Chapman & Hall/Crc Computer and Information Science, 9781439814000 |
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Loop-based Modeling of Parallel Communication Traces[Research Report] RR-8562, INRIA. 2014, pp.10 |
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Xfor: Semantics and Performance[Research Report] Team ICPS (ICube Laboratory). 2014 |
A Static-Dynamic Collaborative Framework for Nested Loops Instrumentation and Profiling[Research Report] 2010, pp.8 |
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VMAD: a Virtual Machine for Advanced Dynamic Analysis of Programs[Research Report] 2010, pp.10 |