2 papers
cs.AR2022
Increasing FPGA Accelerators Memory Bandwidth with a Burst-Friendly Memory Layout
Corentin Ferry, Tomofumi Yuki, Steven Derrien +1
Offloading compute-intensive kernels to hardware accelerators relies on the large degree of parallelism offered by these platforms. However, the effective bandwidth of the memory i…
cs.PL2018
Sparse Matrix Code Dependence Analysis Simplification at Compile Time
Mahdi Soltan Mohammadi, Kazem Cheshmi, Ganesh Gopalakrishnan +5
Analyzing array-based computations to determine data dependences is useful for many applications including automatic parallelization, race detection, computation and communication…