![]() ![]() By leveraging the parallel processing power of GPUs, drug developers can speed up the time it takes to identify promising drug candidates and bring them to market. GPUs can accelerate many of the computationally intensive tasks involved in drug discovery, such as molecular docking, molecular dynamics simulations, and machine learning algorithms. Recently, Graphics Processing Units (GPUs) have emerged as a powerful tool to bolster HPC for drug discovery and development. ![]() Key design considerations in HPC infrastructure design can make a dramatic difference in performance and maximize your research endeavors. Today, due to the exponential growth of biomedical data and the complexity of drug targets, this process requires extensive experimentation, data analysis, and modeling using high-performance computing (HPC).Īccelerating the speed, predictiveness, and accuracy of drug research provides not just a competitive edge, but ultimately saves lives. Since 1987 - Covering the Fastest Computers in the World and the People Who Run Themĭrug discovery and development is a complex and time-consuming process that involves the identification, validation, and optimization of potential drug candidates.
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