4 citations · 16 across the 22 of their papers we have counts for
4 papers · 1 filter
Enhancing Layout Hotspot Detection Efficiency with YOLOv8 and PCA-Guided Augmentation
Dongyang Wu, Siyang Wang, Mehdi Kamal +1
In this paper, we present a YOLO-based framework for layout hotspot detection, aiming to enhance the efficiency and performance of the design rule checking (DRC) process. Our appro…
Memory-Efficient Vision Transformers: An Activation-Aware Mixed-Rank Compression Strategy
Seyedarmin Azizi, Mahdi Nazemi, Massoud Pedram
As Vision Transformers (ViTs) increasingly set new benchmarks in computer vision, their practical deployment on inference engines is often hindered by their significant memory band…
Sparse Periodic Systolic Dataflow for Lowering Latency and Power Dissipation of Convolutional Neural Network Accelerators
Jung Hwan Heo, Arash Fayyazi, Amirhossein Esmaili +1
This paper introduces the sparse periodic systolic (SPS) dataflow, which advances the state-of-the-art hardware accelerator for supporting lightweight neural networks. Specifically…
BMPQ: Bit-Gradient Sensitivity Driven Mixed-Precision Quantization of DNNs from Scratch
Souvik Kundu, Shikai Wang, Qirui Sun +2
Large DNNs with mixed-precision quantization can achieve ultra-high compression while retaining high classification performance. However, because of the challenges in finding an ac…