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Publications of SPCL

T. De Matteis, J. de Fine Licht, T. Hoefler:

 FBLAS: Streaming Linear Algebra on FPGA

(In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC20), , ISBN: , Nov. 2020)


Abstract

Spatial computing architectures pose an attractive alternative to mitigate control and data movement overheads typical of load-store architectures. In practice, these devices are rarely considered in the HPC community due to the steep learning curve, low productivity and lack of available libraries for fundamental operations. High-level synthesis (HLS) tools are facilitating hardware programming, but optimizing for these architectures requires factoring in new transformations and resources/performance trade-offs. We present FBLAS, an open-source HLS implementation of BLAS for FPGAs, that enables reusability, portability and easy integration with existing software and hardware codes. FBLAS' implementation allows scaling hardware modules to exploit on-chip resources, and module interfaces are designed to natively support streaming on-chip communications, allowing them to be composed to reduce off-chip communication. With FBLAS, we set a precedent for FPGA library design, and contribute to the toolbox of customizable hardware components necessary for HPC codes to start productively targeting reconfigurable platforms.

Documents

access preprint on arxiv:


Recorded talk (best effort)

 

BibTeX

@inproceedings{fblas,
  author={Tiziano De Matteis and Johannes de Fine Licht and Torsten Hoefler},
  title={{FBLAS: Streaming Linear Algebra on FPGA}},
  year={2020},
  month={11},
  booktitle={Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC20)},
  publisher={},
  isbn={},
}