Efficient Execution of Irregular Dataflow Graphs

Name: Efficient Execution of Irregular Dataflow Graphs
Brand: Springer, Berlin
SKU: 9783031331350
Price: 2110 CZK
Availability: InStock

Hardware/Software Co-optimization for Probabilistic AI and Sparse Triangular Systems

Autor: Nimish Shah, Marian Verhelst, Wannes Meert

Jazyk:

Vazba: Pevná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele v malém množství

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This book focuses on the acceleration of emerging irregular sparse workloads, posed by novel artific...

Informace o knize

Autor

Nimish Shah, Marian Verhelst, Wannes Meert

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2023

Stránek

180

EAN

9783031331350

Enbook ID

43225187

Vydavatel

Springer, Berlin

Hmotnost

412

Rozměry

155 x 235

Kompletní popis

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.

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Efficient Execution of Irregular Dataflow Graphs

Hardware/Software Co-optimization for Probabilistic AI and Sparse Triangular Systems

Informace o knize

Kompletní popis

Mohlo by vás zajímat

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