TIRAMISU: A Polyhedral Compiler for Dense and Sparse Deep Learning

7 May 2020

Papers citing "TIRAMISU: A Polyhedral Compiler for Dense and Sparse Deep Learning"

5 / 5 papers shown

Title
LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers Massinissa Merouani Khaled Afif Boudaoud Iheb Nassim Aouadj Nassim Tchoulak Islam Kara Bernou Hamza Benyamina F. B. Tayeb K. Benatchba Hugh Leather Riyadh Baghdadi 48 2 0 18 Mar 2024
A Deep Learning Based Cost Model for Automatic Code Optimization Riyadh Baghdadi Massinissa Merouani Mohamed-Hicham Leghettas K. Abdous T. Arbaoui K. Benatchba Saman P. Amarasinghe 35 68 0 11 Apr 2021
SparseRT: Accelerating Unstructured Sparsity on GPUs for Deep Learning Inference Ziheng Wang 40 67 0 26 Aug 2020
Data Movement Is All You Need: A Case Study on Optimizing Transformers A. Ivanov Nikoli Dryden Tal Ben-Nun Shigang Li Torsten Hoefler 36 131 0 30 Jun 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 235 383 0 05 Mar 2020