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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Persistent URL dx.doi.org/10.1145/3120895.3120919, hdl.handle.net/1765/104150
Conference 8th International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies, HEART 2017
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Citation
Stamoulias, I. (Ioannis), Möller, M. (Matthias), Miedema, R. (Rene), Strydis, C, Kachris, C. (Christoforos), & Soudris, D. (2017). High-Performance Hardware Accelerators for Solving Ordinary Differential Equations. In ACM International Conference Proceeding Series. doi:10.1145/3120895.3120919