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Efficient Execution of Irregular Dataflow Graphs

Efficient Execution of Irregular Dataflow Graphs

Marian Verhelst / Nimish Shah / Wannes Meert

109,91 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2023
Materia
Inteligencia artificial
ISBN:
9783031331350
109,91 €
IVA incluido
Disponible

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Sobre IBD

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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    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 ...
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