Cover image for Efficient Execution of Irregular Dataflow Graphs Hardware/Software Co-optimization for Probabilistic AI and Sparse Linear Algebra
Title:
Efficient Execution of Irregular Dataflow Graphs Hardware/Software Co-optimization for Probabilistic AI and Sparse Linear Algebra
Author:
Shah, Nimish. author.
ISBN:
9783031331367
Edition:
1st ed. 2023.
Physical Description:
XXI, 143 p. 1 illus. online resource.
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.
Subject Term:
Electronic circuits.

Embedded computer systems.

Machine learning.

Electronic Circuits and Systems.

Embedded Systems.
Added Author:
Meert, Wannes.

Verhelst, Marian.
Added Corporate Author:
SpringerLink (Online service)
Electronic Access:
https://doi.org/10.1007/978-3-031-33136-7
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