Cover Image
Read Now

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...

Full description

Bibliographic Details
Main Authors: Shah, Nimish, Meert, Wannes (Author), Verhelst, Marian (Author)
Format: eBook
Language:English
Published: Cham Springer Nature Switzerland 2023, 2023
Edition:1st ed. 2023
Subjects:
Machine Learning
Embedded Systems
Embedded Computer Systems
Electronic Circuits
Electronic Circuits And Systems
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Chapter 1. Irregular workloads at risk of losing the hardware lottery
  • Chapter 2. Suitable data representation: A study of fixed point, floating point,and positTM formats for probabilistic AI
  • Chapter 3. GraphOpt: constrained-optimization-based parallelization of irregular workloads for multicore processors
  • Chapter 4. DAG Processing Unit version 1 (DPU): Efficient execution of irregular workloads on a multicore processor
  • Chapter 5. DAG Processing Unit version 2 (DPU-v2): Efficient execution of irregular workloads on a spatial datapath
  • Chapter 6. Conclusions and future work

Similar Items