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Bifrost: End-to-End Evaluation and Optimization of Reconfigurable DNN
  Accelerators

Bifrost: End-to-End Evaluation and Optimization of Reconfigurable DNN Accelerators

26 April 2022
Axel Stjerngren
Perry Gibson
José Cano
ArXivPDFHTML

Papers citing "Bifrost: End-to-End Evaluation and Optimization of Reconfigurable DNN Accelerators"

4 / 4 papers shown
Title
DLAS: An Exploration and Assessment of the Deep Learning Acceleration
  Stack
DLAS: An Exploration and Assessment of the Deep Learning Acceleration Stack
Perry Gibson
José Cano
Elliot J. Crowley
Amos Storkey
Michael F. P. O'Boyle
17
1
0
15 Nov 2023
Transfer-Tuning: Reusing Auto-Schedules for Efficient Tensor Program
  Code Generation
Transfer-Tuning: Reusing Auto-Schedules for Efficient Tensor Program Code Generation
Perry Gibson
José Cano
18
12
0
14 Jan 2022
Measuring the Algorithmic Efficiency of Neural Networks
Measuring the Algorithmic Efficiency of Neural Networks
Danny Hernandez
Tom B. Brown
235
94
0
08 May 2020
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
185
1,027
0
06 Mar 2020
1