SC2023Top-tier venue
FASDA: An FPGA-Aided, Scalable and Distributed Accelerator for Range-Limited Molecular Dynamics
Chunshu Wu, Tong Geng, Anqi Guo, Sahan Bandara, Pouya Haghi, Chuan Liu, Ang Li, Martin C. Herbordt
2023Year
11Citations
2Top-tier citations
Abstract
Conducting long-timescale 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. ASIC solutions are not always generally available, while GPU solutions may not scale when processing small molecules. FPGAs are both communication processors and accelerators, with tight coupling between these capabilities, and so could be used to address strong scaling in this domain.
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Cited by top-tier papers2
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