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High Performance Computing Framework for Accelerating Sparse Cholesky Factorization on FPGAs
­Solving large symmetric sparse linear systems using sparse Cholesky factorization plays a pivotal role in many scientific computing and high-performance computing (HPC) applications. The existing computational solutions to sparse Cholesky factorization based on CPUs and GPUs suffer from very limited performance for to two primary reasons. First,...
Published: 2/23/2023   |   Inventor(s): Erfan Bank Tavakoli, Fengbo Ren, Michael Riera, Masudul Quraishi
Keywords(s): Algorithm Development, PS-Computing and Information Technology
Category(s): Computing & Information Technology, Physical Science