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Efficient Execution Of Irregular Dataflow Graphs eBook

Hardware/Software Co-Optimization For Probabilistic Ai And Sparse Linear Algebra

de Marian Verhelst, Wannes Meert e Nimish Shah
idioma: inglês
Editor: Springer Nature Switzerland, julho de 2023 ‧
72,86€
10% DESCONTO CARTÃO
DISPONIBILIDADE IMEDIATA
Ebook para ADE

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.

Efficient Execution Of Irregular Dataflow Graphs

Hardware/Software Co-Optimization For Probabilistic Ai And Sparse Linear Algebra

de Marian Verhelst, Wannes Meert e Nimish Shah

Propriedade Descrição
ISBN: 9783031331367
Editor: Springer Nature Switzerland
Data de Lançamento: julho de 2023
Idioma: Inglês
Tipo de produto: eBook
Formato e Compatibilidade:
Coleção: Engineering
Classificação Temática: eBooks em Inglês > Engenharia > Eletricidade e Energia
EAN: 9783031331367
Acessibilidade: Ver características de acessibilidade indicadas pelo editor