CoSA: Scheduling by Constrained Optimization for Spatial Accelerators

5 May 2021

Papers citing "CoSA: Scheduling by Constrained Optimization for Spatial Accelerators"

9 / 9 papers shown

Title
Blockbuster, Part 1: Block-level AI Operator Fusion Ofer Dekel 21 0 0 29 Apr 2025
SALSA: Simulated Annealing based Loop-Ordering Scheduler for DNN Accelerators Victor J. B. Jung Arne Symons L. Mei Marian Verhelst Luca Benini 21 3 0 20 Apr 2023
Full Stack Optimization of Transformer Inference: a Survey Sehoon Kim Coleman Hooper Thanakul Wattanawong Minwoo Kang Ruohan Yan ... Qijing Huang Kurt Keutzer Michael W. Mahoney Y. Shao A. Gholami MQ 36 101 0 27 Feb 2023
Demystifying Map Space Exploration for NPUs Sheng-Chun Kao A. Parashar Po-An Tsai T. Krishna 38 11 0 07 Oct 2022
Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling Yannan Nellie Wu Po-An Tsai A. Parashar Vivienne Sze J. Emer 25 57 0 12 May 2022
Communication Bounds for Convolutional Neural Networks An Chen J. Demmel Grace Dinh Mason Haberle Olga Holtz 9 4 0 18 Apr 2022
DNNFuser: Generative Pre-Trained Transformer as a Generalized Mapper for Layer Fusion in DNN Accelerators Sheng-Chun Kao Xiaoyu Huang T. Krishna AI4CE 35 9 0 26 Jan 2022
FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks Sheng-Chun Kao Suvinay Subramanian Gaurav Agrawal Amir Yazdanbakhsh T. Krishna 38 57 0 13 Jul 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,225 0 16 Nov 2016