Performance modeling of hyper-scale custom machine for the principal steps in block Wiedemann algorithm

@article{Zhou2016PerformanceMO,
  title={Performance modeling of hyper-scale custom machine for the principal steps in block Wiedemann algorithm},
  author={Tong Zhou and Jingfei Jiang},
  journal={The Journal of Supercomputing},
  year={2016},
  volume={72},
  pages={4181-4203}
}
Solving large-scale sparse linear systems over GF(2) plays a key role in fluid mechanics, simulation and design of materials, petroleum seismic data processing, numerical weather prediction, computational electromagnetics, and numerical simulation of unclear explosions. Therefore, developing algorithms for this issue is a significant research topic. In this paper, we proposed a hyper-scale custom supercomputer architecture that matches specific data features to process the key procedure of… CONTINUE READING