most citedSynergistic CPU-FPGA Acceleration of Sparse Linear Algebra

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

cs.DC2020★ 5 cited

Synergistic CPU-FPGA Acceleration of Sparse Linear Algebra

Mohammadreza Soltaniyeh, Richard P. Martin, Santosh Nagarakatte

This paper describes REAP, a software-hardware approach that enables high performance sparse linear algebra computations on a cooperative CPU-FPGA platform. REAP carefully separate…