Ventus: A High-performance Open-source GPGPU Based on RISC-V and Its Vector Extension

General-purpose Graphics Processing Unit (G PG PU) has become the most popular platform for accelerating modern applications such as Large Language Models and Generative AI, while the lack of advanced open-source hardware micro architectures restricts the high-performance GPGPU research. In this work, we propose Ventus, a high-performance open-source GPGPU based on RISC- V with Vector Extension (RVV). Customized instructions and a holistic software toolchain are implemented to achieve high performance. Ventus is successfully deployed on an FPGA platform consisting of 4 Xilinx VU19P, scaling up to 16 Streaming Multiprocessors (SMs) with 256 warps. Results imply that Ventus possesses critical features of commercial GPGPUs and has achieved an average reduction of 83.9% in instruction count and 87.4% in CPI over the state-of-the-art open-source implementation. Ventus can be found on Github (https://github.com/THU-DSP-LAB/ventus-gpgpu).