Efficient Execution of Irregular Dataflow Graphs

Efficient Execution of Irregular Dataflow Graphs

EnglishEbook
Shah, Nimish
Springer Nature Switzerland
EAN: 9783031331367
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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 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.
EAN 9783031331367
ISBN 3031331362
Binding Ebook
Publisher Springer Nature Switzerland
Publication date July 13, 2023
Language English
Authors Meert, Wannes; Shah, Nimish; Verhelst, Marian