High-Performance Hardware Accelerators for Solving Ordinary Differential Equations
Ioannis Stamoulias (National and Capodistrian University of Athens)
Matthias Möller (TU Delft - Numerical Analysis)
Rene Miedema (Student TU Delft)
Christos Strydis (Erasmus MC)
Christoforos Kachris (National Technical University of Athens)
Dimitrios Soudris (National Technical University of Athens)
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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.