Heterogeneous dataflow architectures for FPGA-based sparse LU factorization

• Main Authors: Siddhartha, Kapre, Nachiket
• 其他作者: School of Computer Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2015
• 主題: Computer Science and Engineering
• 在線閱讀: https://hdl.handle.net/10356/81188; http://hdl.handle.net/10220/39175

FPGA-based token dataflow architectures with heterogeneous computation and communication subsystems can accelerate hard-to-parallelize, irregular computations in sparse LU factorization. We combine software pre-processing and architecture customization to fully expose and exploit the underlying hete...