Prof. Dr.-Ing. Richard Membarth

Research Professor System on a Chip and AI for Edge Computing

Room: K202
Subject Area: System on a Chip and AI for Edge Computing
Faculty: Fakultät E

Research

Vita

  • Since 2021 at THI
  • 2014 - 2021: Senior researcher and team leader for "Compiler Technologies and High-Performance Computing" at the German Research Center for Artificial Intelligence (DFKI) in Saarbrücken
  • 2009 - 2018: Software consultant for GPU computing and CUDA
  • 2013 - 2014: Postdoc at the Intel Visual Computing Institute (IVCI) at Saarland University
  • 2008 - 2013: Research employee at the chair for Hardware/Software Co-Design at the Friedrich-Alexander University Erlangen-Nürnberg, PhD on the topic "Code Generation for GPU Accelerators from a Domain-Specific Language for Medical Imaging"
  • 2002 - 2008: Diploma in Computer Science, minor in Physics at the Friedrich-Alexander University Erlangen-Nürnberg

Awards and Memberships

  • Member of HiPEAC: European Network on High Performance Edge And Cloud computing

Publications

2026
XU, Wenguang, Giovanni LUCENTE und Richard MEMBARTH, 2026. Energy- and Runtime-Efficient Trajectory Planning via SIMD Vectorization with Reduced Precision. 2026 IEEE Intelligent Vehicles Symposium (IV). Piscataway: IEEE, Page 1090-1095. ISBN 979-8-3315-4793-6. Available at: https://doi.org/10.1109/IV66570.2026.11624008
2025
PFALLER, Tobias und Richard MEMBARTH, 2025. Exploiting Data Redundancy in Im2Col Convolutions. PARS-Mitteilungen 2025, 37, 63-70. ISSN 0177-0454. Available at: https://dl.gi.de/items/156c727e-ec90-4809-9ce6-ee27cc89eeb0
XU, Wenguang und Richard MEMBARTH, 2025. Exploration of Efficient Computation for Trajectory Planning via Fixed-Point Arithmetic. PARS-Mitteilungen 2025, 37, 51-61. ISSN 0177-0454. Available at: https://dl.gi.de/items/6b2c0546-1081-40ab-b97b-052b60b8374f
WILDGRUBE, Fabian, Pete EHRETT, Paul TROJAHN, Richard MEMBARTH, Bradford BECKMANN, Dominik BAUMEISTER und Matthäus CHAJDAS, 2025. GPUs All Grown-Up: Fully Device-Driven SpMV Using GPU Work Graphs. ISCA ´25: Proceedings of the 52nd Annual International Symposium on Computer Architecture. New York: ACM, Page 1777-1791. ISBN 979-8-4007-1261-6. Available at: https://doi.org/10.1145/3695053.3731060
DEVILLERS, Hugo, Matthias KURTENACKER, Richard MEMBARTH, Stefan LEMME, Michael KENZEL, Ömercan YAZICI und Philipp SLUSALLEK, 2025. No More Shading Languages: Compiling C++ to Vulkan Shaders. In: KNOLL, Aaron und Christoph PETERS, Editors High-Performance Graphics - Symposium Papers. Goslar: The Eurographics Association. ISBN 978-3-03868-291-2. Available at: https://doi.org/10.2312/hpg.20251167
2023
KENZEL, Michael, Stefan LEMME, Richard MEMBARTH, Matthias KURTENACKER, Hugo DEVILLERS, Markus STEINBERGER und Philipp SLUSALLEK, 2023. AnyQ: An Evaluation Framework for Massively-Parallel Queue Algorithms. Proceedings: 2023 IEEE International Parallel and Distributed Processing Symposium: IPDPS 2023. Piscataway: IEEE, Page 736-745. ISBN 979-8-3503-3766-2. Available at: https://doi.org/10.1109/IPDPS54959.2023.00079
2022
MÜLLER, André, Bertil SCHMIDT, Richard MEMBARTH, Roland LEISSA und Sebastian HACK, 2022. AnySeq/GPU: A Novel Approach for Faster Sequence Alignment on GPUs. Proceedings of the 36th ACM International Conference on Supercomputing (ICS-2022). New York: ACM. ISBN 978-1-4503-9281-5. Available at: https://doi.org/10.1145/3524059.3532376
XU, Xiang, Lu WANG, Arsène PÉRARD-GAYOT, Richard MEMBARTH, Cuiyu LI, Chenglei YANG und Philipp SLUSALLEK, 2022. Temporal Coherence-Based Distributed Ray Tracing of Massive Scenes. IEEE Transactions on Visualization and Computer Graphics, 30(2), 1489-1501. ISSN 1941-0506. Available at: https://doi.org/10.1109/TVCG.2022.3219982
SCHULER, Manuela, Richard MEMBARTH und Philipp SLUSALLEK, 2022. XEngine: Optimal Tensor Rematerialization for Neural Networks in Heterogeneous Environments. ACM Transactions on Architecture and Code Optimization, 20(1), 17. ISSN 1544-3973. Available at: https://doi.org/10.1145/3568956
2021
AMIRI, Puya, Arsène PÉRARD-GAYOT, Richard MEMBARTH, Philipp SLUSALLEK, Roland LEISSA und Sebastian HACK, 2021. FLOWER: a Comprehensive Dataflow Compiler for High-Level Synthesis. Proceedings of the 2021 International Conference on Field-Programmable Technology (ICFPT). Piscataway (NJ): IEEE. ISBN 978-1-6654-2010-5. Available at: https://doi.org/10.1109/ICFPT52863.2021.9609930
RAVEDUTTI LUCIO MACHADO, Rafael, Jonas SCHMITT, Sebastian EIBL, Jan EITZINGER, Roland LEISSA, Sebastian HACK, Arsène PÉRARD-GAYOT, Richard MEMBARTH und Harald KÖSTLER, 2021. tinyMD: Mapping molecular dynamics simulations to heterogeneous hardware using partial evaluation. Journal of Computational Science, 2021(54), 101425. ISSN 1877-7503. Available at: https://doi.org/10.1016/j.jocs.2021.101425
2020
ÖZKAN, M. Akif, Arsène PÉRARD-GAYOT, Richard MEMBARTH, Philipp SLUSALLEK, Roland LEISSA, Sebastian HACK, Jürgen TEICH und Frank HANNIG, 2020. AnyHLS: High-Level Synthesis with Partial Evaluation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (ITCSDI), 39(11), 3202-3214. ISSN 1937-4151. Available at: https://doi.org/10.1109/TCAD.2020.3012172
MÜLLER, André, Bertil SCHMIDT, Andreas HILDEBRANDT, Richard MEMBARTH, Roland LEISSA, Matthis KRUSE und Sebastian HACK, 2020. AnySeq: A High Performance Sequence Alignment Library based on Partial Evaluation. Proceedings: 2020 IEEE 34th International Parallel and Distributed Processing Symposium (IPDPS 2020). Los Alamitos: IEEE, Page 1030-1040. ISBN 978-1-7281-6876-0. Available at: https://doi.org/10.1109/IPDPS47924.2020.00109
SÁNCHEZ MORALES, Eduardo, Richard MEMBARTH, Andreas GAULL, Philipp SLUSALLEK, Tobias DIRNDORFER, Alexander KAMMENHUBER, Christoph LAUER und Michael BOTSCH, 2020. Parallel Multi-Hypothesis Algorithm for Criticality Estimation in Traffic and Collision Avoidance [Preprint]. arXiv. Available at: https://doi.org/10.48550/arXiv.2005.06773
RAVEDUTTI LUCIO MACHADO, Rafael, Jonas SCHMITT, Sebastian EIBL, Jan EITZINGER, Roland LEISSA, Sebastian HACK, Arsène PÉRARD-GAYOT, Richard MEMBARTH und Harald KÖSTLER, 2020. tinyMD: A Portable and Scalable Implementation for Pairwise Interactions Simulations [Preprint]. arXiv. Available at: https://doi.org/10.48550/arXiv.2009.07400
2019
MEMBARTH, Richard, Hritam DUTTA, Frank HANNIG und Jürgen TEICH, 2019. Efficient Mapping of Streaming Applications for Image Processing on Graphics Cards. In: STENSTRÖM, Per, Cristina SILVANO, Koen BERTELS und Michael SCHULTE, Editors Transactions on High-Performance Embedded Architectures and Compilers (Transactions on HiPEAC). Berlin: Springer, Page 1-20. ISBN 978-3-662-58834-5. Available at: https://doi.org/10.1007/978-3-662-58834-5_1
PÉRARD-GAYOT, Arsène, Richard MEMBARTH, Roland LEISSA, Sebastian HACK und Philipp SLUSALLEK, 2019. Rodent: Generating Renderers without Writing a Generator. ACM Transactions on Graphics (TOG), 38(4), 40. ISSN 1557-7368. Available at: https://doi.org/10.1145/3306346.3322955
2018
PÉRARD-GAYOT, Arsène, Richard MEMBARTH, Philipp SLUSALLEK, Simon MOLL, Roland LEISSA und Sebastian HACK, 2018. A Data Layout Transformation for Vectorizing Compilers. In: EITZINGER, Jan und James BRODMAN, Editors WPMVP'18: Proceedings of the 2018 4th Workshop on Programming Models for SIMD/Vector Processing. New York: ACM. ISBN 978-1-4503-5646-6. Available at: https://doi.org/10.1145/3178433.3178440
ÖZKAN, M. Akif, Arsène PÉRARD-GAYOT, Richard MEMBARTH, Philipp SLUSALLEK, Jürgen TEICH und Frank HANNIG, 2018. A Journey into DSL Design using Generative Programming: FPGA Mapping of Image Border Handling through Refinement. Fifth International Workshop on FPGAs for Software Programmers (FSP 2018). Berlin: VDE Verlag, Page 64-72. ISBN 978-3-8007-4723-8. Available at: https://www.vde-verlag.de/proceedings-de/564723009.html
LEISSA, Roland, Klaas BOESCHE, Sebastian HACK, Arsène PÉRARD-GAYOT, Richard MEMBARTH, Philipp SLUSALLEK, André MÜLLER und Bertil SCHMIDT, 2018. AnyDSL: a partial evaluation framework for programming high-performance libraries. Proceedings of the ACM on Programming Languages, 2, 119. ISSN 2475-1421. Available at: https://doi.org/10.1145/3276489
SCHMITT, Jonas, Harald KÖSTLER, Jan EITZINGER und Richard MEMBARTH, 2018. Unified Code Generation for the Parallel Computation of Pairwise Interactions Using Partial Evaluation. Proceedings 17th International Symposium on Parallel and Distributed Computing, ISPDC 2018. Piscataway (NJ): IEEE, Page 17-24. ISBN 978-1-5386-5330-2. Available at: https://doi.org/10.1109/ISPDC2018.2018.00012

A complete list of Prof. Dr.-Ing. Richard Membarth's publications can be found on Google Scholar.