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1910.00078
Cited By
MIOpen: An Open Source Library For Deep Learning Primitives
30 September 2019
Jehandad Khan
Paul Fultz
Artem Tamazov
Daniel Lowell
Chao-Jung Liu
Michael Melesse
Murali Nandhimandalam
Kamil Nasyrov
I. Perminov
Tejash Shah
Vasilii Filippov
Jing Zhang
Jing Zhou
Bragadeesh Natarajan
Mayank Daga
VLM
MoE
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Papers citing
"MIOpen: An Open Source Library For Deep Learning Primitives"
5 / 5 papers shown
Title
Relax: Composable Abstractions for End-to-End Dynamic Machine Learning
Ruihang Lai
Junru Shao
Siyuan Feng
Steven Lyubomirsky
Bohan Hou
...
Sunghyun Park
Prakalp Srivastava
Jared Roesch
T. Mowry
Tianqi Chen
109
11
0
01 Nov 2023
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
49
9
0
03 Jan 2023
I/O Lower Bounds for Auto-tuning of Convolutions in CNNs
Xiaoyang Zhang
Junmin Xiao
Guangming Tan
55
9
0
31 Dec 2020
SOL: Effortless Device Support for AI Frameworks without Source Code Changes
Nicolas Weber
Felipe Huici
28
3
0
24 Mar 2020
Benanza: Automatic
μ
μ
μ
Benchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs
Cheng-rong Li
Abdul Dakkak
Jinjun Xiong
Wen-mei W. Hwu
86
11
0
16 Nov 2019
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