SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning

11 July 2022

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

8 / 8 papers shown

Title
Hexcute: A Tile-based Programming Language with Automatic Layout and Task-Mapping Synthesis X. Zhang Yaoyao Ding Yang Hu Gennady Pekhimenko 34 0 0 22 Apr 2025
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 42 19 0 02 Jan 2025
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 32 7 0 01 Nov 2023
Efficient Quantized Sparse Matrix Operations on Tensor Cores Shigang Li Kazuki Osawa Torsten Hoefler 69 26 0 14 Sep 2022
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 27 4 0 07 Sep 2022
Accelerating SpMM Kernel with Cache-First Edge Sampling for Graph Neural Networks Chien-Yu Lin Liang Luo Luis Ceze GNN 50 6 0 21 Apr 2021
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 128 679 0 31 Jan 2021
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 169 1,157 0 03 Mar 2020