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UID:submissions.supercomputing.org_SC20_sess154_pap452@linklings.com
SUMMARY:FBLAS: Streaming Linear Algebra on FPGA
DESCRIPTION:Paper\n\nFBLAS: Streaming Linear Algebra on FPGA\n\nDe Matteis
 , de Fine Licht, Hoefler\n\nSpatial computing architectures pose an attrac
 tive alternative to mitigate control and data movement overheads typical o
 f load-store architectures. In practice, these devices are rarely consider
 ed in the HPC community due to the steep learning curve, low productivity 
 and lack of available libraries for fundamental operations. High-level syn
 thesis (HLS) tools are facilitating hardware programming, but optimizing f
 or these architectures requires factoring in new transformations and resou
 rces/performance trade-offs. We present FBLAS, an open-source HLS implemen
 tation of BLAS for FPGAs, that enables reusability, portability and easy i
 ntegration with existing software and hardware codes. FBLAS' implementatio
 n allows scaling hardware modules to exploit on-chip resources, and module
  interfaces are designed to natively support streaming on-chip communicati
 ons, allowing them to be composed to reduce off-chip communication. With F
 BLAS, we set a precedent for FPGA library design, and contribute to the to
 olbox of customizable hardware components necessary for HPC codes to start
  productively targeting reconfigurable platforms.\n\nTag: Accelerators, FP
 GA, and GPUs, Applications, Architectures\n\nRegistration Category: Tech P
 rogram Reg Pass
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