Mixed precision efficiency improvements for multi-physics flow simulations
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97 MATHEMATICS AND COMPUTING↗
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Mixed precision efficiency improvements for multi-physics flow simulations
This report summarizes research activities at Cascade Technologies during February 2020 - November 2020 to support DOE SBIR phase I contract DE-SC0020548. The primary technical objectives of the work are two-fold: a) to establish a theoretical framework to understand the propagation and impact of finite-precision-related errors and b) to quantify the trade-offs between accelerator throughput and solution accuracy through a series of validation tests involving multi-physics flow phenomena.
97 MATHEMATICS AND COMPUTING↗
Mixed precision s-step Conjugate Gradient with Residual Replacement on GPUs.
Abstract not provided.
Yamazaki, Ichitaro↗
Mixed Precision Iterative Refinement with Sparse Approximate Inverse Preconditioning
Not provided.
Mathematics↗
Fast, scalable and accurate finite-element based ab initio calculations using mixed precision computing: 46 PFLOPS simulation of a metallic dislocation system
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Das, Sambit↗
Mixed Precision s-step Conjugate Gradient with Residual Replacements on GPUs.
Abstract not provided.
Yamazaki, Ichitaro↗
HPC-MixPBench: An HPC Benchmark Suite for Mixed-Precision Analysis
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Computer science↗
Mixed-precision preconditioned Krylov solvers with Trilinos.
Abstract not provided.
Yamazaki, Ichitaro↗