A Runtime System for Finite Element Methods in a Partitioned Global Address Space
Groth S, Grünewald D, Teich J, Hannig F (2020)
Publication Language: English
Publication Type: Conference contribution, Original article
Publication year: 2020
Publisher: ACM
Pages Range: 39-48
Conference Proceedings Title: Proceedings of the 17th ACM International Conference on Computing Frontiers (CF)
Event location: Catania, Sicily, Italy
ISBN: 978-1-4503-7956-4/20/05
Abstract
With approaching exascale performance, applications in the domain of
High-Performance Computing (HPC) have to scale to an ever-increasing
amount of compute nodes. The Global Address Space Programming Interface
(GASPI) communication API promises to
handle this challenge by providing a highly flexible and efficient
programming model in a Partitioned Global Address Space (PGAS).
Suitable applications targeting supercomputers include the domain of
mesh-based solvers for Partial Differential Equations (PDEs) due to
their high computational intensity. The implementation of such solvers
is highly interdisciplinary, which therefore requires an abstraction of
hardware-specific parallelization techniques from developing numerical
algorithms.
We present an open-source Run-Time System (RTS) that distributes and
parallelizes device-agnostic kernels, which define algorithms on
unstructured grids. We describe how the RTS abstracts common parts of
iterative solvers and further explain how to parallelize and distribute
these components. We further show the efficiency of our approach for
several microbenchmarks and an implementation of the Discontinuous
Galerkin Method (DGM). The results show that we can almost completely
hide all synchronization overhead and that the RTS only imposes a small
computational
cost.
Authors with CRIS profile
Stefan Groth
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Jürgen Teich
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Frank Hannig
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Related research project(s)
How to cite
APA:
Groth, S., Grünewald, D., Teich, J., & Hannig, F. (2020). A Runtime System for Finite Element Methods in a Partitioned Global Address Space. In Proceedings of the 17th ACM International Conference on Computing Frontiers (CF) (pp. 39-48). Catania, Sicily, Italy, IT: ACM.
MLA:
Groth, Stefan, et al. "A Runtime System for Finite Element Methods in a Partitioned Global Address Space." Proceedings of the ACM International Conference on Computing Frontiers 2020, Catania, Sicily, Italy ACM, 2020. 39-48.
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