In high-performance computing, data movement between accelerators often becomes a bottleneck. This post from the Chinese developer community details how FPGAs can use PCIe peer-to-peer (P2P) communication to achieve GPU Direct RDMA, allowing direct data exchange between GPUs and FPGAs without CPU intervention. This technique significantly reduces latency and CPU overhead, making it ideal for AI inference, real-time signal processing, and other latency-sensitive applications. The post covers the underlying PCIe architecture, P2P transaction mechanisms, and practical considerations for implementing GPU Direct RDMA with FPGAs. For engineers working on heterogeneous computing systems, this is a valuable reference for optimizing data paths and achieving higher throughput. The approach is particularly relevant as AI models grow and require faster inter-accelerator communication.
Explore how FPGA-based PCIe peer-to-peer communication enables GPU Direct RDMA, reducing latency in HPC and AI workloads.