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Toomas Remmelg
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Lift: a functional data-parallel IR for high-performance GPU code generation
M Steuwer, T Remmelg, C Dubach
2017 IEEE/ACM International Symposium on Code Generation and Optimization …, 2017
2232017
Automatic matching of legacy code to heterogeneous APIs: An idiomatic approach
P Ginsbach, T Remmelg, M Steuwer, B Bodin, C Dubach, MFP O'Boyle
Proceedings of the Twenty-Third International Conference on Architectural …, 2018
432018
Performance portable GPU code generation for matrix multiplication
T Remmelg, T Lutz, M Steuwer, C Dubach
Proceedings of the 9th Annual Workshop on General Purpose Processing using …, 2016
402016
Matrix multiplication beyond auto-tuning: rewrite-based GPU code generation
M Steuwer, T Remmelg, C Dubach
Proceedings of the International Conference on Compilers, Architectures and …, 2016
352016
Runtime code generation and data management for heterogeneous computing in java
JJ Fumero, T Remmelg, M Steuwer, C Dubach
Proceedings of the principles and practices of programming on the java …, 2015
302015
Introducing parallelism to the ranges TS
G Brown, C Di Bella, M Haidl, T Remmelg, R Reyes, M Steuwer
Proceedings of the International Workshop on OpenCL, 1-5, 2018
52018
High-level hardware feature extraction for GPU performance prediction of stencils
T Remmelg, B Hagedorn, L Li, M Steuwer, S Gorlatch, C Dubach
Proceedings of the 13th Annual Workshop on General Purpose Processing Using …, 2020
32020
Automatic performance optimisation of parallel programs for GPUs via rewrite rules
T Remmelg
The University of Edinburgh, 2019
22019
Compiler Optimisations for the Java Virtual Machine
T Remmelg
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Articles 1–9