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2020 – today
- 2024
[i17]Thomas Randall, Jaehoon Koo, Brice Videau, Michael Kruse, Xingfu Wu
, Paul D. Hovland, Mary W. Hall, Rong Ge, Prasanna Balaprakash:
Transfer-Learning-Based Autotuning Using Gaussian Copula. CoRR abs/2401.04669 (2024)- [i16]Xingfu Wu, John R. Tramm, Jeffrey Larson, John-Luke Navarro, Prasanna Balaprakash, Brice Videau, Michael Kruse, Paul D. Hovland, Valerie Taylor, Mary W. Hall:
Integrating ytopt and libEnsemble to Autotune OpenMC. CoRR abs/2402.09222 (2024) - 2023
- [c16]Zujun Tan, Yebin Chon, Michael Kruse, Johannes Doerfert, Ziyang Xu, Brian Homerding, Simone Campanoni, David I. August:
SPLENDID: Supporting Parallel LLVM-IR Enhanced Natural Decompilation for Interactive Development. ASPLOS (3) 2023: 679-693 - [c15]Thomas Randall, Jaehoon Koo, Brice Videau, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall, Rong Ge, Prasanna Balaprakash:
Transfer-learning-based Autotuning using Gaussian Copula. ICS 2023: 37-49 - [c14]Michael Kruse:
Generalizing Hierarchical Parallelism. IWOMP 2023: 163-178 - [i15]Xingfu Wu, Prasanna Balaprakash, Michael Kruse, Jaehoon Koo, Brice Videau, Paul D. Hovland, Valerie Taylor, Brad Geltz, Siddhartha Jana, Mary W. Hall:
ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales. CoRR abs/2303.16245 (2023) - [i14]Michael Kruse:
Generalizing Hierarchical Parallelism. CoRR abs/2309.01906 (2023) - 2022
- [j4]Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall:
Autotuning PolyBench benchmarks with LLVM Clang/Polly loop optimization pragmas using Bayesian optimization. Concurr. Comput. Pract. Exp. 34(20) (2022) - 2021
- [c13]Michael Kruse:
Loop Transformations using Clang's Abstract Syntax Tree. ICPP Workshops 2021: 21:1-21:7 - [c12]Barbara M. Chapman, Buu Pham, Charlene Yang, Christopher S. Daley, Colleen Bertoni, Dhruva Kulkarni, Dossay Oryspayev, Ed D'Azevedo, Johannes Doerfert, Keren Zhou, Kiran Ravikumar, Mark Gordon, Mauro Del Ben, Meifeng Lin, Melisa Alkan, Michael Kruse, Oscar R. Hernandez, P. K. Yeung, Paul Lin, Peng Xu, Swaroop Pophale, Tosaporn Sattasathuchana, Vivek Kale, William P. Huhn, Yun (Helen) He:
Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part I). IWOMP 2021: 67-80 - [c11]Barbara M. Chapman, Buu Pham, Charlene Yang, Christopher S. Daley, Colleen Bertoni, Dhruva Kulkarni, Dossay Oryspayev, Ed D'Azevedo, Johannes Doerfert, Keren Zhou, Kiran Ravikumar, Mark Gordon, Mauro Del Ben, Meifeng Lin, Melisa Alkan, Michael Kruse, Oscar R. Hernandez, P. K. Yeung, Paul Lin, Peng Xu, Swaroop Pophale, Tosaporn Sattasathuchana, Vivek Kale, William P. Huhn, Yun (Helen) He:
Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part II). IWOMP 2021: 81-95 - [c10]Jaehoon Koo, Prasanna Balaprakash, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall:
Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations. PMBS 2021: 82-93 - [i13]Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall:
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization (extended version). CoRR abs/2104.13242 (2021) - [i12]Jaehoon Koo, Prasanna Balaprakash, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall:
Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations. CoRR abs/2105.04555 (2021) - [i11]Michael Kruse:
Loop Transformations using Clang's Abstract Syntax Tree. CoRR abs/2107.08132 (2021) - 2020
- [j3]Tobias Grosser, Theodoros Theodoridis, Maximilian Falkenstein, Arjun Pitchanathan, Michael Kruse, Manuel Rigger, Zhendong Su, Torsten Hoefler:
Fast linear programming through transprecision computing on small and sparse data. Proc. ACM Program. Lang. 4(OOPSLA): 195:1-195:28 (2020) - [c9]Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall:
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization. PMBS@SC 2020: 61-70 - [i10]Michael Kruse, Hal Finkel, Xingfu Wu:
Autotuning Search Space for Loop Transformations. CoRR abs/2010.06521 (2020) - [i9]Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall:
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization. CoRR abs/2010.08040 (2020)
2010 – 2019
- 2019
- [c8]Michael Kruse, Hal Finkel:
Design and Use of Loop-Transformation Pragmas. IWOMP 2019: 125-139 - [i8]Michael Kruse, Hal Finkel:
Design and Use of Loop-Transformation Pragmas. CoRR abs/1910.02375 (2019) - 2018
- [j2]Roman Gareev, Tobias Grosser, Michael Kruse:
High-Performance Generalized Tensor Operations: A Compiler-Oriented Approach. ACM Trans. Archit. Code Optim. 15(3): 34:1-34:27 (2018) - [c7]Jie Zhao, Michael Kruse, Albert Cohen:
A polyhedral compilation framework for loops with dynamic data-dependent bounds. CC 2018: 14-24 - [c6]Michael Kruse, Tobias Grosser:
DeLICM: scalar dependence removal at zero memory cost. CGO 2018: 241-253 - [c5]Michael Kruse, Hal Finkel:
A Proposal for Loop-Transformation Pragmas. IWOMP 2018: 37-52 - [i7]Michael Kruse, Hal Finkel:
A Proposal for Loop-Transformation Pragmas. CoRR abs/1805.03374 (2018) - [i6]Michael Kruse, Hal Finkel:
User-Directed Loop-Transformations in Clang. CoRR abs/1811.00624 (2018) - [i5]Michael Kruse, Hal Finkel:
Loop Optimization Framework. CoRR abs/1811.00632 (2018) - 2016
- [c4]Chandan Reddy, Michael Kruse, Albert Cohen:
Reduction Drawing: Language Constructs and Polyhedral Compilation for Reductions on GPU. PACT 2016: 87-97 - 2015
- [c3]Riyadh Baghdadi, Ulysse Beaugnon, Albert Cohen, Tobias Grosser, Michael Kruse, Chandan Reddy, Sven Verdoolaege, Adam Betts, Alastair F. Donaldson, Jeroen Ketema, Javed Absar, Sven van Haastregt, Alexey Kravets, Anton Lokhmotov, Robert David, Elnar Hajiyev:
PENCIL: A Platform-Neutral Compute Intermediate Language for Accelerator Programming. PACT 2015: 138-149 - 2014
- [b1]Michael Kruse:
Lattice QCD Optimization and Polytopic Representations of Distributed Memory. (Optimisation de LatticeQCD et représentations polytopiques de la mémoire distribuée). University of Paris-Sud, Orsay, France, 2014 - [i4]Denis Barthou, Olivier Brand-Foissac, Romain Dolbeau, Gilbert Grosdidier, Christine Eisenbeis, Michael Kruse, Olivier Pène, Konstantin Petrov, Claude Tadonki:
Automated Code Generation for Lattice Quantum Chromodynamics and beyond. CoRR abs/1401.2039 (2014) - [i3]Michael Kruse:
Introducing Molly: Distributed Memory Parallelization with LLVM. CoRR abs/1409.2088 (2014) - [i2]Michael Kruse:
Perfrewrite - Program Complexity Analysis via Source Code Instrumentation. CoRR abs/1409.2089 (2014) - 2012
- [i1]Denis Barthou, Gilbert Grosdidier, Michael Kruse, Olivier Pène, Claude Tadonki:
QIRAL: A High Level Language for Lattice QCD Code Generation. CoRR abs/1208.4035 (2012) - 2010
- [c2]Stefan Czarnetzki, Sören Kerner, Michael Kruse:
Real-Time Active Vision by Entropy Minimization Applied to Localization. RoboCup 2010: 266-277
2000 – 2009
- 2009
- [c1]Michael Kruse, Michael Baumann, Tobias Knieper, Christoph Seipel, Lial Khaluf, Nico Lehmann, Alex Lermontow, Christian Messinger, Simon Richter, Thomas Schmidt, Daniel Swars:
Learning Parametrised RoboCup Rescue Agent Behaviour Using an Evolutionary Algorithm. KI 2009: 648-655 - 2000
- [j1]Michael Kruse:
Invariance, Symmetry And Rationality. Synth. 122(3): 337-357 (2000)
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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