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Książka Efficient Execution of Irregular Dataflow Graphs Nimish Shah

Efficient Execution of Irregular Dataflow Graphs

Hardware/Software Co-optimization for Probabilistic AI and Sparse Linear Algebra

Autor: Nimish Shah, Wannes Meert, Marian Verhelst
Język: Angielski
Oprawa: Miękka
Wydawca: Springer Nature B.V.
Dostępność: Dostępna u dostawcy
Wysyłamy za 10-18 dni
225.61 zł
This book focuses on the acceleration of emerging irregular sparse workloads, posed by novel artific...

Informacje o książce

Autor
Nimish Shah, Wannes Meert, Marian Verhelst
Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2023
strony
168
EAN
9783031331374
ISBN
3031331370
Enbook ID
50453031
Wydawca
Springer Nature B.V.
Waga
246
Wymiary
156 x 234 x 9

Pełny opis

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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