Efficient Execution of Irregular Dataflow Graphs di Nimish Shah, Marian Verhelst, Wannes Meert edito da Springer Nature Switzerland
Alta reperibilità

Efficient Execution of Irregular Dataflow Graphs

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

EAN:

9783031331350

ISBN:

3031331354

Pagine:
168
Formato:
Hardback
Lingua:
Tedesco
Acquistabile con o la

Descrizione 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.

Spedizione gratuita
€ 96.08
o 3 rate da € 32.03 senza interessi con
Disponibile in 10-12 giorni
servizio Prenota Ritiri su libro Efficient Execution of Irregular Dataflow Graphs
Prenota e ritira
Scegli il punto di consegna e ritira quando vuoi

Recensioni degli utenti

e condividi la tua opinione con gli altri utenti