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LOCATION:607
DTSTART;TZID=America/Denver:20191117T162500
DTEND;TZID=America/Denver:20191117T164000
UID:submissions.supercomputing.org_SC19_sess110_ws_h2rc112@linklings.com
SUMMARY:FBLAS: Streaming Linear Algebra Kernels on FPGA
DESCRIPTION:Workshop\n\nFBLAS: Streaming Linear Algebra Kernels on FPGA\n\
 nDe Matteis, de Fine Licht, Hoefler\n\nReconfigurable hardware represents 
 an attractive alternative to load-store architectures, as it allows elimin
 ating expensive control and data movement overheads in computations.  In p
 ractice, these devices are often not considered in the high-performance co
 mputing community, due to the steep learning curve and low productivity of
  hardware design, and the lack of available library support for fundamenta
 l operations.  We present FBLAS, an open source implementation of Basic Li
 near Algebra Subroutines (BLAS) for FPGAs.  The library is implemented wit
 h a modern HLS tool to promote productivity, reusability, and maintainabil
 ity.  Numerical routines are designed to be easily composed exploiting on-
 chip connections, to reduce off-chip communication resulting in lower comm
 unication volume.\n\nTag: Workshop Reg Pass, Accelerators, Compilers, FPGA
 , Quantum Computing, Reconfigurable Computing\n\nRegistration Category: Wo
 rkshop Reg Pass, Accelerators, Compilers, FPGA, Quantum Computing, Reconfi
 gurable Computing
URL:https://sc19.supercomputing.org/presentation/?id=ws_h2rc112&sess=sess1
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