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Investigating the Benefit of FP16-Enabled Mixed-Precision Solvers for Symmetric Positive Definite Matrices Using GPUs
[chapter]
2020
Lecture Notes in Computer Science
Half-precision computation refers to performing floatingpoint operations in a 16-bit format. While half-precision has been driven largely by machine learning applications, recent algorithmic advances in numerical linear algebra have discovered beneficial use cases for half precision in accelerating the solution of linear systems of equations at higher precisions. In this paper, we present a high-performance, mixedprecision linear solver (Ax = b) for symmetric positive definite systems in
doi:10.1007/978-3-030-50417-5_18
fatcat:mcx73t5pmzhb3n6rcccqoem5ja