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FPL: fast Presburger arithmetic through transprecision
Arjun Pitchanathan, Christian Ulmann, Michel Weber, Torsten Hoefler and Tobias Grosser Proceedings of the ACM on Programming Languages 5(OOPSLA) 1 (2021) https://doi.org/10.1145/3485539
Alexander Matz, Johannes Doerfert and Holger Fröning 1 (2020) https://doi.org/10.1145/3409390.3409403
A sparse iteration space transformation framework for sparse tensor algebra
Ryan Senanayake, Changwan Hong, Ziheng Wang, et al. Proceedings of the ACM on Programming Languages 4(OOPSLA) 1 (2020) https://doi.org/10.1145/3428226
Program transformations as the base for optimizing parallelizing compilers
Rui-Juan Jing and Marc Moreno Maza Communications in Computer and Information Science, Maple in Mathematics Education and Research 1125 132 (2020) https://doi.org/10.1007/978-3-030-41258-6_10
Effective Loop Fusion in Polyhedral Compilation Using Fusion Conflict Graphs
Aravind Acharya, Uday Bondhugula and Albert Cohen ACM Transactions on Architecture and Code Optimization 17(4) 1 (2020) https://doi.org/10.1145/3416510
Fast linear programming through transprecision computing on small and sparse data
Tobias Grosser, Theodoros Theodoridis, Maximilian Falkenstein, et al. Proceedings of the ACM on Programming Languages 4(OOPSLA) 1 (2020) https://doi.org/10.1145/3428263
LLOV
Utpal Bora, Santanu Das, Pankaj Kukreja, et al. ACM Transactions on Architecture and Code Optimization 17(4) 1 (2020) https://doi.org/10.1145/3418597
Building a Polyhedral Representation from an Instrumented Execution
Manuel Selva, Fabian Gruber, Diogo Sampaio, et al. ACM Transactions on Architecture and Code Optimization 16(4) 1 (2019) https://doi.org/10.1145/3363785
Fabian Gruber, Manuel Selva, Diogo Sampaio, Christophe Guillon, Antoine Moynault, Louis-Noël Pouchet and Fabrice Rastello 173 (2019) https://doi.org/10.1145/3293883.3295737
A Survey on Compiler Autotuning using Machine Learning
Amir H. Ashouri, William Killian, John Cavazos, Gianluca Palermo and Cristina Silvano ACM Computing Surveys 51(5) 1 (2019) https://doi.org/10.1145/3197978
Clément Ballabriga, Julien Forget and Giuseppe Lipari ACM Transactions on Embedded Computing Systems 17(2) 1 (2018) https://doi.org/10.1145/3147413
Speeding up Iterative Polyhedral Schedule Optimization with Surrogate Performance Models
Stefan Ganser, Armin Größlinger, Norbert Siegmund, Sven Apel and Christian Lengauer ACM Transactions on Architecture and Code Optimization 15(4) 1 (2018) https://doi.org/10.1145/3291773
Iterative Schedule Optimization for Parallelization in the Polyhedron Model
Stefan Ganser, Armin Grösslinger, Norbert Siegmund, Sven Apel and Christian Lengauer ACM Transactions on Architecture and Code Optimization 14(3) 1 (2017) https://doi.org/10.1145/3109482
Verification, Model Checking, and Abstract Interpretation
Alexandre Maréchal, Alexis Fouilhé, Tim King, David Monniaux and Michael Périn Lecture Notes in Computer Science, Verification, Model Checking, and Abstract Interpretation 9583 166 (2016) https://doi.org/10.1007/978-3-662-49122-5_8
An approach for code generation in the Sparse Polyhedral Framework
Boris Ya. Steinberg, Denis V. Dubrov, Yury Mikhailuts, Alexander S. Roshal and Roman B. Steinberg Lecture Notes in Computer Science, Parallel Computing Technologies 9251 474 (2015) https://doi.org/10.1007/978-3-319-21909-7_46
Polyhedral AST Generation Is More Than Scanning Polyhedra
Tobias Grosser, Sven Verdoolaege and Albert Cohen ACM Transactions on Programming Languages and Systems 37(4) 1 (2015) https://doi.org/10.1145/2743016
Venmugil Elango, Fabrice Rastello, Louis-Noël Pouchet, J. Ramanujam and P. Sadayappan 567 (2015) https://doi.org/10.1145/2676726.2677010
Improving compiler scalability: optimizing large programs at small price
Mehdi Amini, Fabien Coelho, François Irigoin and Ronan Keryell Lecture Notes in Computer Science, Languages and Compilers for Parallel Computing 7146 237 (2013) https://doi.org/10.1007/978-3-642-36036-7_16
Affine Transformations for Communication and Reconfiguration Optimization of Mapping Loop Nests on CGRAs
Polyhedral Bubble Insertion: A Method to Improve Nested Loop Pipelining for High-Level Synthesis
Antoine Morvan, Steven Derrien and Patrice Quinton IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 32(3) 339 (2013) https://doi.org/10.1109/TCAD.2012.2228270
Mapping Optimization of Affine Loop Nests for Reconfigurable Computing Architecture
Dajiang LIU, Shouyi YIN, Chongyong YIN, Leibo LIU and Shaojun WEI IEICE Transactions on Information and Systems E95.D(12) 2898 (2012) https://doi.org/10.1587/transinf.E95.D.2898
Logical inference techniques for loop parallelization
Louis-Noël Pouchet, Uday Bondhugula, Cédric Bastoul, Albert Cohen, J. Ramanujam, P. Sadayappan and Nicolas Vasilache ACM SIGPLAN Notices 46(1) 549 (2011) https://doi.org/10.1145/1925844.1926449
Energy-Aware Memory Management for Embedded Multimedia Systems
Florin Balasa, Hongwei Zhu and Ilie Luican Chapman & Hall/CRC Computer & Information Science Series, Energy-Aware Memory Management for Embedded Multimedia Systems 20111381 67 (2011) https://doi.org/10.1201/b11418-4
FADAlib: an open source C++ library for fuzzy array dataflow analysis
Joachim Keinert, Christian Haubelt and Jürgen Teich Lecture Notes in Computer Science, Architecture of Computing Systems – ARCS 2008 4934 130 (2008) https://doi.org/10.1007/978-3-540-78153-0_11