HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity

HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity

Due to complex interactions among various deep neural network (DNN) optimization techniques, modern DNNs can have weights and activations that are dense or sparse with diverse sparsity degrees. To offer a good trade-off between accuracy and hardware performance, an ideal DNN accelerator should have...

Full description

Bibliographic Details
Main Authors: Wu, Yannan, Tsai, Po-An, Muralidharan, Saurav, Parashar, Angshuman, Sze, Vivienne, Emer, Joel
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: ACM|56th Annual IEEE/ACM International Symposium on Microarchitecture 2024
Online Access:https://hdl.handle.net/1721.1/153277

Internet

https://hdl.handle.net/1721.1/153277

Similar Items