High-Performance Hardware Accelerators for Solving Ordinary Differential Equations

Conference Paper (2017)
Author(s)

Ioannis Stamoulias (National and Capodistrian University of Athens)

Matthias Moller (TU Delft - Numerical Analysis)

Rene Miedema (Student TU Delft)

C. Strydis (Erasmus MC)

Christoforos Kachris (National Technical University of Athens)

D. J. Soudris (National Technical University of Athens)

Research Group
Numerical Analysis
DOI related publication
https://doi.org/10.1145/3120895.3120919
More Info
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Publication Year
2017
Language
English
Research Group
Numerical Analysis
ISBN (electronic)
9781450353168

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.

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