2 papers
cs.AR2024
PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators
Xiaotian Sun, Xinyu Wang, Wanqian Li +2
Various processing-in-memory (PIM) accelerators based on various devices, micro-architectures, and interfaces have been proposed to accelerate deep neural networks (DNNs). How to d…
cs.CV2024
BitQ: Tailoring Block Floating Point Precision for Improved DNN Efficiency on Resource-Constrained Devices
Yongqi Xu, Yujian Lee, Gao Yi +6
Deep neural networks (DNNs) are powerful for cognitive tasks such as image classification, object detection, and scene segmentation. One drawback however is the significant high co…