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Efficient Execution of Irregular Dataflow Graphs

Bag om Efficient Execution of Irregular Dataflow Graphs

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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783031331350
  • Indbinding:
  • Hardback
  • Sideantal:
  • 168
  • Udgivet:
  • 14. juli 2023
  • Udgave:
  • 23001
  • Størrelse:
  • 160x15x241 mm.
  • Vægt:
  • 424 g.
  • 8-11 hverdage.
  • 13. december 2024
På lager
Forlænget returret til d. 31. januar 2025

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Beskrivelse af Efficient Execution of Irregular Dataflow Graphs

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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