Michael Kruse

40 papers A 2B 3C 1Misc 1Journal 23Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Integrating ytopt and libEnsemble to autotune OpenMC.
Int. J. High Perform. Comput. Appl.
Xingfu Wu, John R. Tramm, Jeffrey Larson, John-Luke Navarro, Prasanna Balaprakash, Brice Videau, Michael Kruse, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2025 J jnl
ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales.
Concurr. Comput. Pract. Exp.
Xingfu Wu, Prasanna Balaprakash, Michael Kruse, Jaehoon Koo, Brice Videau, Paul D. Hovland, Valerie Taylor, Brad Geltz, Siddhartha Jana, Mary W. Hall
2024 J jnl
Integrating ytopt and libEnsemble to Autotune OpenMC.
CoRR
Xingfu Wu, John R. Tramm, Jeffrey Larson, John-Luke Navarro, Prasanna Balaprakash, Brice Videau, Michael Kruse, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2024 J jnl
Transfer-Learning-Based Autotuning Using Gaussian Copula.
CoRR
Thomas Randall, Jaehoon Koo, Brice Videau, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall, Rong Ge, Prasanna Balaprakash
2023 — conf
Generalizing Hierarchical Parallelism.
IWOMP
Michael Kruse
2023 J jnl
Generalizing Hierarchical Parallelism.
CoRR
Michael Kruse
2023 — conf
SPLENDID: Supporting Parallel LLVM-IR Enhanced Natural Decompilation for Interactive Development.
ASPLOS (3)
Zujun Tan, Yebin Chon, Michael Kruse, Johannes Doerfert, Ziyang Xu, Brian Homerding, Simone Campanoni, David I. August
2023 A conf
Transfer-learning-based Autotuning using Gaussian Copula.
ICS
Thomas Randall, Jaehoon Koo, Brice Videau, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall, Rong Ge, Prasanna Balaprakash
2023 J jnl
ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales.
CoRR
Xingfu Wu, Prasanna Balaprakash, Michael Kruse, Jaehoon Koo, Brice Videau, Paul D. Hovland, Valerie Taylor, Brad Geltz, Siddhartha Jana, Mary W. Hall
2022 J jnl
Autotuning PolyBench benchmarks with LLVM Clang/Polly loop optimization pragmas using Bayesian optimization.
Concurr. Comput. Pract. Exp.
Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2021 J jnl
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization (extended version).
CoRR
Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2021 — conf
Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations.
PMBS
Jaehoon Koo, Prasanna Balaprakash, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall
2021 J jnl
Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations.
CoRR
Jaehoon Koo, Prasanna Balaprakash, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall
2021 — conf
Loop Transformations using Clang's Abstract Syntax Tree.
ICPP Workshops
Michael Kruse
2021 J jnl
Loop Transformations using Clang's Abstract Syntax Tree.
CoRR
Michael Kruse
2021 — conf
Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part I).
IWOMP
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
2021 — conf
Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part II).
IWOMP
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
2020 — conf
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization.
PMBS@SC
Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2020 J jnl
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization.
CoRR
Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2020 J jnl
Autotuning Search Space for Loop Transformations.
CoRR
Michael Kruse, Hal Finkel, Xingfu Wu
2020 J jnl
Fast linear programming through transprecision computing on small and sparse data.
Proc. ACM Program. Lang.
Tobias Grosser, Theodoros Theodoridis, Maximilian Falkenstein, Arjun Pitchanathan, Michael Kruse, Manuel Rigger, Zhendong Su, Torsten Hoefler
2019 — conf
Design and Use of Loop-Transformation Pragmas.
IWOMP
Michael Kruse, Hal Finkel
2019 J jnl
Design and Use of Loop-Transformation Pragmas.
CoRR
Michael Kruse, Hal Finkel
2018 — conf
A Proposal for Loop-Transformation Pragmas.
IWOMP
Michael Kruse, Hal Finkel
2018 J jnl
A Proposal for Loop-Transformation Pragmas.
CoRR
Michael Kruse, Hal Finkel
2018 B conf
A polyhedral compilation framework for loops with dynamic data-dependent bounds.
CC
Jie Zhao, Michael Kruse, Albert Cohen
2018 A conf
DeLICM: scalar dependence removal at zero memory cost.
CGO
Michael Kruse, Tobias Grosser
2018 J jnl
High-Performance Generalized Tensor Operations: A Compiler-Oriented Approach.
ACM Trans. Archit. Code Optim.
Roman Gareev, Tobias Grosser, Michael Kruse
2018 J jnl
Loop Optimization Framework.
CoRR
Michael Kruse, Hal Finkel
2018 J jnl
User-Directed Loop-Transformations in Clang.
CoRR
Michael Kruse, Hal Finkel
2016 B conf
Reduction Drawing: Language Constructs and Polyhedral Compilation for Reductions on GPU.
PACT
Chandan Reddy, Michael Kruse, Albert Cohen
2015 B conf
PENCIL: A Platform-Neutral Compute Intermediate Language for Accelerator Programming.
PACT
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
2014 J jnl
Automated Code Generation for Lattice Quantum Chromodynamics and beyond.
CoRR
Denis Barthou, Olivier Brand-Foissac, Romain Dolbeau, Gilbert Grosdidier, Christine Eisenbeis, Michael Kruse, Olivier Pène, Konstantin Petrov, Claude Tadonki
2014 J jnl
Introducing Molly: Distributed Memory Parallelization with LLVM.
CoRR
Michael Kruse
2014 — —
Lattice QCD Optimization and Polytopic Representations of Distributed Memory. (Optimisation de LatticeQCD et représentations polytopiques de la mémoire distribuée).
Michael Kruse
2014 J jnl
Perfrewrite - Program Complexity Analysis via Source Code Instrumentation.
CoRR
Michael Kruse
2012 J jnl
QIRAL: A High Level Language for Lattice QCD Code Generation
CoRR
Denis Barthou, Gilbert Grosdidier, Michael Kruse, Olivier Pène, Claude Tadonki
2010 C conf
Real-Time Active Vision by Entropy Minimization Applied to Localization.
RoboCup
Stefan Czarnetzki, Sören Kerner, Michael Kruse
2009 Misc conf
Learning Parametrised RoboCup Rescue Agent Behaviour Using an Evolutionary Algorithm.
KI
Michael Kruse, Michael Baumann, Tobias Knieper, Christoph Seipel, Lial Khaluf, Nico Lehmann, Alex Lermontow, Christian Messinger, Simon Richter, Thomas Schmidt, Daniel Swars
2000 J jnl
Invariance, Symmetry And Rationality.
Synth.
Michael Kruse