Efficient Execution of Irregular Dataflow Graphs Hardware/Software Co-optimization for Probabilistic AI and Sparse Linear Algebra
tarafından
Shah, Nimish. author.
Başlık
:
Efficient Execution of Irregular Dataflow Graphs Hardware/Software Co-optimization for Probabilistic AI and Sparse Linear Algebra
Yazar
:
Shah, Nimish. author.
ISBN
:
9783031331367
Basım Bilgisi
:
1st ed. 2023.
Fiziksel Tanımlama
:
XXI, 143 p. 1 illus. online resource.
İçerik
:
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.
Konu Terimleri
:
Electronic circuits.
Embedded computer systems.
Machine learning.
Electronic Circuits and Systems.
Embedded Systems.
Yazar Ek Girişi
:
Meert, Wannes.
Verhelst, Marian.
Tüzel Kişi Ek Girişi
:
SpringerLink (Online service)
Elektronik Erişim
:
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