SparseRT: Accelerating Unstructured Sparsity on GPUs for Deep Learning Inference

26 August 2020

Papers citing "SparseRT: Accelerating Unstructured Sparsity on GPUs for Deep Learning Inference"

7 / 7 papers shown

Title
Hardware/Software Co-Design of RISC-V Extensions for Accelerating Sparse DNNs on FPGAs Muhammad Sabih Abrarul Karim Jakob Wittmann Frank Hannig J. Teich 75 0 0 28 Apr 2025
EvoP: Robust LLM Inference via Evolutionary Pruning Shangyu Wu Hongchao Du Ying Xiong Shuai Chen Tei-Wei Kuo Nan Guan Chun Jason Xue 34 1 0 19 Feb 2025
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off Sachit Kuhar Yash Jain Alexey Tumanov MQ 54 0 0 04 Dec 2023
Spatial Re-parameterization for N:M Sparsity Yu-xin Zhang Mingbao Lin Yunshan Zhong Mengzhao Chen Rongrong Ji 44 2 0 09 Jun 2023
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost Sungjun Cho Seonwoo Min Jinwoo Kim Moontae Lee Honglak Lee Seunghoon Hong 40 3 0 27 Oct 2022
Gradient-based Weight Density Balancing for Robust Dynamic Sparse Training Mathias Parger Alexander Ertl Paul Eibensteiner J. H. Mueller Martin Winter M. Steinberger 34 0 0 25 Oct 2022
End-to-End Supermask Pruning: Learning to Prune Image Captioning Models J. Tan C. Chan Joon Huang Chuah VLM 51 16 0 07 Oct 2021