DLAS: An Exploration and Assessment of the Deep Learning Acceleration
Stack

DLAS: An Exploration and Assessment of the Deep Learning Acceleration Stack

15 November 2023

Elliot J. Crowley

Amos Storkey

Michael F. P. O'Boyle

Papers citing "DLAS: An Exploration and Assessment of the Deep Learning Acceleration Stack"

8 / 8 papers shown

Title
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning Zihao Ye Ruihang Lai Junru Shao Tianqi Chen Luis Ceze 78 91 0 11 Jul 2022
Collage: Seamless Integration of Deep Learning Backends with Automatic Placement Byungsoo Jeon Sunghyun Park Peiyuan Liao Sheng Xu Tianqi Chen Zhihao Jia VLM 36 4 0 01 Nov 2021
Carbon Emissions and Large Neural Network Training David A. Patterson Joseph E. Gonzalez Quoc V. Le Chen Liang Lluís-Miquel Munguía D. Rothchild David R. So Maud Texier J. Dean AI4CE 253 644 0 21 Apr 2021
Measuring the Algorithmic Efficiency of Neural Networks Danny Hernandez Tom B. Brown 241 94 0 08 May 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 191 1,027 0 06 Mar 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,959 0 20 Apr 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,572 0 17 Apr 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 312 36,371 0 25 Aug 2016