HighPerMeshes: Domain-specific programming and target-platform-aware compiler infrastructure for algorithms on unstructured grids
Overview
HighPerMeshes is a collaborative research project funded by German Ministry of Education and Research (BMBF). The project comprises a consortium of four funded partners and one associated partner and is coordinated by the Paderborn Center for Parallel Computing at Paderborn University.
Key Facts
- Grant Number:
- 01|H16005A
- Project type:
- Research
- Project duration:
- 04/2017 - 03/2020
- Funded by:
- BMBF
- Websites:
-
Homepage
HighPerMeshes - Domain-specific programming and target-platform-aware compiler infrastructure for algorithms on unstructured grids
HighPerMeshes – Dom?nenspezifische Programmierung und zielplattformbewusste Compiler-Infrastruktur für Algorithmen auf unstrukturierten Gittern
BMBF HighPerMeshes
Current research projects of the High-Performance IT Systems group
F?rderkatalog des Bundes
More Information
Contact
If you have any questions about this project, contact us!
Bernard Bauer
Paderborn Center for Parallel Computing (PC2)
Akademischer Oberrat - Mitglied
Publications
The HighPerMeshes framework for numerical algorithms on unstructured grids
S. Alhaddad, J. F?rstner, S. Groth, D. Grünewald, Y. Grynko, F. Hannig, T. Kenter, F. Pfreundt, C. Plessl, M. Schotte, T. Steinke, J. Teich, M. Weiser, F. Wende, Concurrency and Computation: Practice and Experience (2021) e6616.
A Runtime System for Finite Element Methods in a Partitioned Global Address Space
S. Groth, D. Grünewald, J. Teich, F. Hannig, in: Proceedings of the 17th ACM International Conference on Computing Frontiers (CF ’2020), ACM, 2020.
OpenCL Implementation of Cannon's Matrix Multiplication Algorithm on Intel Stratix 10 FPGAs
P. Gorlani, T. Kenter, C. Plessl, in: Proceedings of the International Conference on Field-Programmable Technology (FPT), IEEE, 2019.
SYCL Code Generation for Multigrid Methods
S. Groth, C. Schmitt, J. Teich, F. Hannig, in: Proceedings of the 22nd International 365体育_足球比分网￥投注直播官网 on Software and Compilers for Embedded Systems? - SCOPES ’19, 2019.
Solving Maxwell's Equations with Modern C++ and SYCL: A Case Study
Show all publications
A. Afzal, C. Schmitt, S. Alhaddad, Y. Grynko, J. Teich, J. F?rstner, F. Hannig, in: Proceedings of the 29th Annual IEEE International Conference on Application-Specific Systems, Architectures and Processors (ASAP), 2018, pp. 49–56.