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Efficient Execution of Irregular Dataflow Graphs

Efficient Execution of Irregular Dataflow Graphs

von Marian Verhelst, Nimish Shah und Wannes Meert
Hardcover - 9783031331350
64,19 €
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Weitere Formate

Softcover - 9783031331381
64,19 €

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Weitere Formate

Softcover - 9783031331381
64,19 €

Beschreibung

This book focuses on the acceleration of emerging irregular sparse workloads, posed by novel artificial intelligent (AI) models and sparse linear algebra. Specifically, the book outlines several co-optimized hardware-software solutions for a highly promising class of emerging sparse AI models called Probabilistic Circuit (PC) and a similar sparse matrix workload for triangular linear systems (SpTRSV). The authors describe optimizations for the entire stack, targeting applications, compilation, hardware architecture and silicon implementation, resulting in orders of magnitude higher performance and energy-efficiency compared to the existing state-of-the-art solutions. Thus, this book provides important building blocks for the upcoming generation of edge AI platforms.

Hardware/Software Co-optimization for Probabilistic AI and Sparse Linear Algebra

Hardware/Software Co-optimization for Probabilistic AI and Sparse Linear Algebra

Details

Verlag Springer International Publishing
Ersterscheinung 14. Juli 2023
Maße 23.5 cm x 15.5 cm
Gewicht 424 Gramm
Format Hardcover
ISBN-13 9783031331350
Seiten 143

Schlagwörter

Eingebettete Systeme, Electronic Circuits and Systems, Embedded Systems, Machine Learning, Maschinelles Lernen, Schaltkreise und Komponenten (Bauteile)

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