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SparseTIR: Composable Abstractions for Sparse Compilation in Deep
  Learning
v1v2v3v4 (latest)

SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning

11 July 2022
Zihao Ye
Ruihang Lai
Junru Shao
Tianqi Chen
Luis Ceze
ArXiv (abs)PDFHTML

Papers citing "SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning"

11 / 11 papers shown
Title
COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware using Transfer Learning
COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware using Transfer Learning
Chamika Sudusinghe
Gerasimos Gerogiannis Damitha Lenadora
Damitha Sandeepa Lenadora
Charles Block
Josep Torrellas
Charith Mendis
34
0
0
31 May 2025
Hexcute: A Tile-based Programming Language with Automatic Layout and Task-Mapping Synthesis
Hexcute: A Tile-based Programming Language with Automatic Layout and Task-Mapping Synthesis
Xinsong Zhang
Yaoyao Ding
Yang Hu
Gennady Pekhimenko
135
0
0
22 Apr 2025
FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving
FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving
Zihao Ye
Lequn Chen
Ruihang Lai
Wuwei Lin
Yineng Zhang
...
Tianqi Chen
Baris Kasikci
Vinod Grover
Arvind Krishnamurthy
Luis Ceze
142
35
0
02 Jan 2025
Relax: Composable Abstractions for End-to-End Dynamic Machine Learning
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
111
11
0
01 Nov 2023
SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading
  Acceleration
SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading Acceleration
Jingyang Xiang
Siqi Li
Jun Chen
Shipeng Bai
Yukai Ma
Guang Dai
Yong-Jin Liu
66
1
0
10 Oct 2023
STen: Productive and Efficient Sparsity in PyTorch
STen: Productive and Efficient Sparsity in PyTorch
Andrei Ivanov
Nikoli Dryden
Tal Ben-Nun
Saleh Ashkboos
Torsten Hoefler
64
4
0
15 Apr 2023
GSplit: Scaling Graph Neural Network Training on Large Graphs via
  Split-Parallelism
GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism
Sandeep Polisetty
Juelin Liu
Kobi Falus
Yi R. Fung
Seung-Hwan Lim
Hui Guan
Marco Serafini
GNN
117
11
0
24 Mar 2023
Hector: An Efficient Programming and Compilation Framework for
  Implementing Relational Graph Neural Networks in GPU Architectures
Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures
Kun Wu
Mert Hidayetoğlu
Xiang Song
Sitao Huang
Da Zheng
Israt Nisa
Wen-mei W. Hwu
GNN
68
5
0
16 Jan 2023
ALT: Boosting Deep Learning Performance by Breaking the Wall between
  Graph and Operator Level Optimizations
ALT: Boosting Deep Learning Performance by Breaking the Wall between Graph and Operator Level Optimizations
Zhiying Xu
Jiafan Xu
H. Peng
Wei Wang
Xiaoliang Wang
...
Haipeng Dai
Yixu Xu
Hao Cheng
Kun Wang
Guihai Chen
98
0
0
22 Oct 2022
Sgap: Towards Efficient Sparse Tensor Algebra Compilation for GPU
Sgap: Towards Efficient Sparse Tensor Algebra Compilation for GPU
Genghan Zhang
Yuetong Zhao
Yanting Tao
Zhongming Yu
Guohao Dai
Sitao Huang
Yuanyuan Wen
Pavlos Petoumenos
Yu Wang
97
4
0
07 Sep 2022
AutoMC: Automated Model Compression based on Domain Knowledge and
  Progressive search strategy
AutoMC: Automated Model Compression based on Domain Knowledge and Progressive search strategy
Chunnan Wang
Hongzhi Wang
Xiangyu Shi
51
0
0
24 Jan 2022
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