Research
Hardware/Software Co-Design of RISC-V Extensions for Accelerating Sparse DNNs on FPGAs
Abstract
This paper proposes novel RISC-V instruction set extensions designed through hardware/software co-design to efficiently accelerate sparse Deep Neural Networks (DNNs) on FPGAs. The design introduces custom functional units: one leveraging reserved