activity
20192024
most citedNicePIM: Design Space Exploration for Processing-In-Memory DNN Accelerators with 3D-Stacked-DRAM

19 citations · 20 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DC2024

SparseMap: Loop Mapping for Sparse CNNs on Streaming Coarse-grained Reconfigurable Array

Xiaobing Ni, Mengke Ge, Jiaheng Ruan +2

Streaming coarse-grained reconfgurable array (CGRA) is a promising architecture for data/computing-intensive applications because of its fexibility, high throughput and efcient mem…

cs.AR2024

Allspark: Workload Orchestration for Visual Transformers on Processing In-Memory Systems

Mengke Ge, Junpeng Wang, Binhan Chen +4

The advent of Transformers has revolutionized computer vision, offering a powerful alternative to convolutional neural networks (CNNs), especially with the local attention mechanis…

cs.DC2023

BandMap: Application Mapping with Bandwidth Allocation forCoarse-Grained Reconfigurable Array

Xiaobing Ni, Jiaheng Ruan, Mengke Ge +3

This paper proposes an application mapping algorithm, BandMap, for coarse-grained reconfigurable array (CGRA), which allocates the bandwidth in PE array according to the transferri…

cs.AR2023★ 19 cited

NicePIM: Design Space Exploration for Processing-In-Memory DNN Accelerators with 3D-Stacked-DRAM

Junpeng Wang, Mengke Ge, Bo Ding +3

With the widespread use of deep neural networks(DNNs) in intelligent systems, DNN accelerators with high performance and energy efficiency are greatly demanded. As one of the feasi…

cs.AR2021

Synthesizing Brain-Network-Inspired Interconnections for Large-Scale Network-on-Chips

Mengke Ge, Xiaobing Ni, Qi Xu +4

Brain network is a large-scale complex network with scale-free, small-world, and modularity properties, which largely supports this high-efficiency massive system. In this paper, w…

cs.AR2019★ 1 cited

Generalized Fault-Tolerance Topology Generation for Application Specific Network-on-Chips

Song Chen, Mengke Ge, Zhigang Li +3

The Network-on-Chips is a promising candidate for addressing communication bottlenecks in many-core processors and neural network processors. In this work, we consider the generali…