High-Performance Hardware Accelerators for Solving Ordinary Differential Equations

Ioannis Stamoulias, Matthias Möller, Rene Miedema, Christos Strydis, Christoforos Kachris, Dimitrios Soudris

Research output: Chapter/Conference proceedingConference proceedingAcademicpeer-review

4 Citations (Scopus)

Abstract

Ordinary Differential Equations (ODEs) are widely used in many high-performance computing applications. However, contemporary processors generally provide limited throughput for these kinds of calculations. A high-performance hardware accelerator has been developed for speeding-up the solution of ODEs. The hardware accelerator has been developed both for single and double floating-point precision types and a design-space exploration has been performed in terms of performance and hardware resources. The hardware accelerator has been mapped to an FPGA board and connected through PCIe to a typical processor. The performance evaluation shows that the proposed scheme can achieve up to 14x speedup compared to a reference, single-core CPU solution.

Original languageEnglish
Title of host publicationProceedings of the 8th International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies, HEART 2017
ISBN (Electronic)9781450353168
DOIs
Publication statusPublished - 7 Jun 2017
Event8th International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies, HEART 2017 - Bochum, Germany
Duration: 7 Jun 20179 Jun 2017

Publication series

SeriesACM International Conference Proceeding Series

Conference

Conference8th International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies, HEART 2017
Country/TerritoryGermany
CityBochum
Period7/06/179/06/17

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