OpenGeMM: A Highly-Efficient GeMM Accelerator Generator with Lightweight RISC-V Control and Tight Memory Coupling
Xun Yi, Ryan Albert G. Antonio, Joren Dumoulin, Jiacong Sun, Josse Van Delm, Guilherme Paim, Marian Verhelst · 2025
Deep neural networks (DNNs) face significant challenges when deployed on resource-constrained extreme edge devices due to their computational and data-intensive nature. While standalone accelerators tailored for specific application scenarios suffer from inflexible control and limited programmability, generic hardware acceleration platforms coupled with RISC-V CPUs can enable high reusability and flexibility, yet typically at the expense of system-level efficiency and low utilization.