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Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor
  Abstractions on CPU Architectures
v1v2 (latest)

Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU Architectures

25 April 2023
E. Georganas
Dhiraj D. Kalamkar
K. Voronin
Abhisek Kundu
Antonio Noack
Hans Pabst
Alexander Breuer
A. Heinecke
ArXiv (abs)PDFHTML

Papers citing "Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU Architectures"

13 / 13 papers shown
Title
oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep
  Learning Compilation
oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation
Jianhui Li
Zhennan Qin
Yijie Mei
Jingze Cui
Yunfei Song
...
Baihui Jin
Yan Zhang
Jason Ye
Eric Lin
Daniel M. Lavery
GNN
40
8
0
03 Jan 2023
The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for
  Large Language Models
The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models
Eldar Kurtic
Daniel Fernando Campos
Tuan Nguyen
Elias Frantar
Mark Kurtz
Ben Fineran
Michael Goin
Dan Alistarh
VLMMQMedIm
107
126
0
14 Mar 2022
Sparsity in Deep Learning: Pruning and growth for efficient inference
  and training in neural networks
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
316
725
0
31 Jan 2021
Ansor: Generating High-Performance Tensor Programs for Deep Learning
Ansor: Generating High-Performance Tensor Programs for Deep Learning
Lianmin Zheng
Chengfan Jia
Minmin Sun
Zhao Wu
Cody Hao Yu
...
Jun Yang
Danyang Zhuo
Koushik Sen
Joseph E. Gonzalez
Ion Stoica
144
403
0
11 Jun 2020
A Survey of Deep Learning for Scientific Discovery
A Survey of Deep Learning for Scientific Discovery
M. Raghu
Erica Schmidt
OODAI4CE
168
123
0
26 Mar 2020
Deep Learning Recommendation Model for Personalization and
  Recommendation Systems
Deep Learning Recommendation Model for Personalization and Recommendation Systems
Maxim Naumov
Dheevatsa Mudigere
Hao-Jun Michael Shi
Jianyu Huang
Narayanan Sundaraman
...
Wenlin Chen
Vijay Rao
Bill Jia
Liang Xiong
M. Smelyanskiy
93
740
0
31 May 2019
Stripe: Tensor Compilation via the Nested Polyhedral Model
Stripe: Tensor Compilation via the Nested Polyhedral Model
Tim Zerrell
J. Bruestle
45
32
0
14 Mar 2019
Anatomy Of High-Performance Deep Learning Convolutions On SIMD
  Architectures
Anatomy Of High-Performance Deep Learning Convolutions On SIMD Architectures
E. Georganas
Sasikanth Avancha
K. Banerjee
Dhiraj D. Kalamkar
G. Henry
Hans Pabst
A. Heinecke
BDL
51
106
0
16 Aug 2018
Tensor Comprehensions: Framework-Agnostic High-Performance Machine
  Learning Abstractions
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
Nicolas Vasilache
O. Zinenko
Theodoros Theodoridis
Priya Goyal
Zach DeVito
William S. Moses
Sven Verdoolaege
Andrew Adams
Albert Cohen
76
436
0
13 Feb 2018
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhiwen Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
914
6,799
0
26 Sep 2016
Wide & Deep Learning for Recommender Systems
Wide & Deep Learning for Recommender Systems
Heng-Tze Cheng
L. Koc
Jeremiah Harmsen
T. Shaked
Tushar Chandra
...
Zakaria Haque
Lichan Hong
Vihan Jain
Xiaobing Liu
Hemal Shah
HAIVLM
195
3,673
0
24 Jun 2016
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
494
43,717
0
17 Sep 2014
Feature Learning in Deep Neural Networks - Studies on Speech Recognition
  Tasks
Feature Learning in Deep Neural Networks - Studies on Speech Recognition Tasks
Dong Yu
M. Seltzer
Jinyu Li
J. Huang
Frank Seide
92
263
0
16 Jan 2013
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