87 citations · 93 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 5 cited
DNNAbacus: Toward Accurate Computational Cost Prediction for Deep Neural Networks
Lu Bai, Weixing Ji, Qinyuan Li +3
Deep learning is attracting interest across a variety of domains, including natural language processing, speech recognition, and computer vision. However, model training is time-co…
cs.DC2020★ 87 cited
A Systematic Survey of General Sparse Matrix-Matrix Multiplication
Jianhua Gao, Weixing Ji, Fangli Chang +4
General Sparse Matrix-Matrix Multiplication (SpGEMM) has attracted much attention from researchers in graph analyzing, scientific computing, and deep learning. Many optimization te…
cs.GR2015★ 1 cited
Embedding of Hypercube into Cylinder
Weixing Ji, Qinghui Liu, Guizhen Wang +1
Task mapping in modern high performance parallel computers can be modeled as a graph embedding problem, which simulates the mapping as embedding one graph into another and try to f…