1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.DC2025
Selection of Supervised Learning-based Sparse Matrix Reordering Algorithms
Tao Tang, Youfu Jiang, Yingbo Cui +4
Sparse matrix ordering is a vital optimization technique often employed for solving large-scale sparse matrices. Its goal is to minimize the matrix bandwidth by reorganizing its ro…
cs.PL2022
Programming Bare-Metal Accelerators with Heterogeneous Threading Models: A Case Study of Matrix-3000
Jianbin Fang, Peng Zhang, Chun Huang +4
As the hardware industry moves towards using specialized heterogeneous many-cores to avoid the effects of the power wall, software developers are finding it hard to deal with the c…
cs.PF2018★ 1 cited
Tuning Streamed Applications on Intel Xeon Phi: A Machine Learning Based Approach
Peng Zhang, Jianbin Fang, Tao Tang +2
Many-core accelerators, as represented by the XeonPhi coprocessors and GPGPUs, allow software to exploit spatial and temporal sharing of computing resources to improve the overall…