Performance Evaluation of Adaptive-Precision SpMV with Reduced-Precision Formats - Archive ouverte HAL
Pré-Publication, Document De Travail (Working Paper) Année : 2023

Performance Evaluation of Adaptive-Precision SpMV with Reduced-Precision Formats

Résumé

This study explores the potential for performance improvement in the adaptive-precision sparse matrix-vector product (SpMV) (Graillat et al. 2023) by using reduced-precision formats other than the IEEE standard ones. In addition to FP32 and FP64, we consider to utilize reduced-precision formats of 8/16/24/40/48/56-bit length. Our evaluation compares the performance of four- and nine-precision versions with that of the existing two-precision only version using FP32 and FP64 and demonstrates the effectiveness.
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Dates et versions

hal-04261073 , version 1 (26-10-2023)

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  • HAL Id : hal-04261073 , version 1

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Stef Graillat, Fabienne Jézéquel, Théo Mary, Roméo Molina, Daichi Mukunoki. Performance Evaluation of Adaptive-Precision SpMV with Reduced-Precision Formats. 2023. ⟨hal-04261073⟩
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