Heterogeneous dataflow architectures for FPGA-based sparse LU factorization
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...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/81188 http://hdl.handle.net/10220/39175 |