Toomas Remmelg 个人学术档案

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	总计	2019 年至今
引用	381	295
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Michel SteuwerProfessor | TU Berlin | Chair of Compilers and Programming Languages在 tu-berlin.de 的电子邮件经过验证
Christophe DubachAssociate Professor, McGill University在 mcgill.ca 的电子邮件经过验证
Bruno BodinAssistant Professor, Yale-NUS College在 acm.org 的电子邮件经过验证
Philip Ginsbach-ChenUniversity of Edinburgh, School of Informatics在 ed.ac.uk 的电子邮件经过验证
Michael O'BoyleProfessor of Computer Science, University of Edinburgh在 inf.ed.ac.uk 的电子邮件经过验证
Thibaut LutzNVIDIA Corporation在 ed.ac.uk 的电子邮件经过验证
Juan FumeroThe University of Manchester在 manchester.ac.uk 的电子邮件经过验证
Michael HaidlUniversity of Muenster在 uni-muenster.de 的电子邮件经过验证
Ruymán ReyesCTO, Codeplay Software Ltd.在 codeplay.com 的电子邮件经过验证
Sergei GorlatchUniversity of Muenster, Germany在 wwu.de 的电子邮件经过验证
Bastian HagedornNVIDIA在 nvidia.com 的电子邮件经过验证

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Toomas Remmelg

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在 arm.com 的电子邮件经过验证

Compilation Parallel Programming Programming Models GPU Programming


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	223	2017
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	42	2018
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	40	2016
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	36	2016
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	31	2015
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	4	2018
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	3	2020
Automatic performance optimisation of parallel programs for GPUs via rewrite rules T Remmelg The University of Edinburgh, 2019	2	2019
Compiler Optimisations for the Java Virtual Machine T Remmelg

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