Książka Efficient Execution of Irregular Dataflow Graphs Nimish Shah

Efficient Execution of Irregular Dataflow Graphs

Hardware/Software Co-optimization for Probabilistic AI and Sparse Triangular Systems

Język: Angielski
Oprawa: Twarda
Wydawca: Springer, Berlin
Dostępność: Dostępna u dostawcy
Wysyłamy za 10-13 dni
332.54
This book focuses on the acceleration of emerging irregular sparse workloads, posed by novel artific...

Informacje o książce

Język
Angielski
Oprawa
Książka - Twarda
Data wydania
2023
strony
180
EAN
9783031331350
Enbook ID
43225187
Waga
412
Wymiary
155 x 235

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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