A reduced-precision streaming SpMV architecture for Personalized PageRank on FPGA

Sparse matrix-vector multiplication is often employed in many data-analytic workloads in which low latency and high throughput are more valuable than exact numerical convergence. FPGAs provide quick execution times while offering precise control over the accuracy of the results thanks to reduced-pre...

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Hauptverfasser:	Parravicini, Alberto, Sgherzi, Francesco, Santambrogio, Marco D
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Distributed, Parallel, and Cluster Computing Computer Science - Hardware Architecture
Online-Zugang:	Volltext bestellen
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