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Bit-Tactical: Exploiting Ineffectual Computations in Convolutional
  Neural Networks: Which, Why, and How

Bit-Tactical: Exploiting Ineffectual Computations in Convolutional Neural Networks: Which, Why, and How

9 March 2018
A. Delmas
Patrick Judd
Dylan Malone Stuart
Zissis Poulos
Mostafa Mahmoud
Sayeh Sharify
Milos Nikolic
Andreas Moshovos
ArXivPDFHTML

Papers citing "Bit-Tactical: Exploiting Ineffectual Computations in Convolutional Neural Networks: Which, Why, and How"

3 / 3 papers shown
Title
Phantom: A High-Performance Computational Core for Sparse Convolutional
  Neural Networks
Phantom: A High-Performance Computational Core for Sparse Convolutional Neural Networks
Mahmood Azhar Qureshi
Arslan Munir
19
0
0
09 Nov 2021
LazyBatching: An SLA-aware Batching System for Cloud Machine Learning
  Inference
LazyBatching: An SLA-aware Batching System for Cloud Machine Learning Inference
Yujeong Choi
Yunseong Kim
Minsoo Rhu
19
66
0
25 Oct 2020
Term Revealing: Furthering Quantization at Run Time on Quantized DNNs
Term Revealing: Furthering Quantization at Run Time on Quantized DNNs
H. T. Kung
Bradley McDanel
S. Zhang
MQ
13
9
0
13 Jul 2020
1