April 30, 2024
Conference Paper

FASDA: An FPGA-Aided, Scalable and Distributed Accelerator for Range-Limited Molecular Dynamics

Abstract

Conducting long-term simulations of small molecules using Molecular Dynamics (MD) is crucial in drug design. However, traditional methods to accelerate the process including ASICs or GPUs, have limitations. ASICs are difficult to access, while publicly accessible GPU packages for MD have issues with more GPUs when processing small molecules, causing decreased performance. Conversely, FPGAs are renowned for their scalability and have been commonly used as accelerators for various applications, making them suitable for the task. Moreover, with the availability of FPGAs in the cloud, pharmaceutical developers can now access FPGA devices. The only missing piece is a design deployed for MD acceleration. Therefore, we present FASDA, the first FPGA-based MD accelerator available for community development. FASDA is designed to evaluate range-limited MD, which is the most resource-intensive and computationally demanding component in MD. It outperforms the state of-the-art GPU solution by 4.67x, significantly reducing the time for MD in drug design.

Published: April 30, 2024

Citation

Wu C., T. Geng, A. Guo, S. Bandara, P. Haghi, C. Liu, and A. Li, et al. 2023. FASDA: An FPGA-Aided, Scalable and Distributed Accelerator for Range-Limited Molecular Dynamics. In Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2023), November 12-17, 2023, Denver, CO, 1-14. New York, New York:Association for Computing Machinery. PNNL-SA-186622. doi:10.1145/3581784.3607100