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portada Efficient Execution of Irregular Dataflow Graphs: Hardware/Software Co-Optimization for Probabilistic AI and Sparse Linear Algebra
Type
Physical Book
Author
Publisher
Language
English
Pages
143
Format
Hardcover
Dimensions
23.4x15.6x1.1 cm
Weight
0.41 kg.
ISBN13
9783031331350
Edition No.
1
Categories

Efficient Execution of Irregular Dataflow Graphs: Hardware/Software Co-Optimization for Probabilistic AI and Sparse Linear Algebra

Marian Verhelst (Author) · Wannes Meert (Author) · Nimish Shah (Author) · Springer · Hardcover

Efficient Execution of Irregular Dataflow Graphs: Hardware/Software Co-Optimization for Probabilistic AI and Sparse Linear Algebra - Shah, Nimish ; Meert, Wannes ; Verhelst, Marian

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Synopsis "Efficient Execution of Irregular Dataflow Graphs: Hardware/Software Co-Optimization for Probabilistic AI and Sparse Linear Algebra"

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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