Jul 2026· IEEE International Symposium on High-Performance Parallel Distributed Computing· pp. 592-593· 0 citations· 2 references
Computer Science
TL;DR
DPIO is presented, a unified I/O processing stack designed to harmonize the collaboration between CPU and DPU in NVMeoF environments, achieving near-optimal system performance across diverse workloads.
Abstract
To alleviate the overhead of moving massive data in modern data centers, Data Processing Units (DPUs) are increasingly deployed to offload NVMe-over-Fabrics (NVMeoF) remote storage access from the CPU. However, current heterogeneous CPU-DPU systems suffer from inflexible resource partitioning, leading to suboptimal utilization of computational power and network bandwidth. In this paper, we present DPIO, a unified I/O processing stack designed to harmonize the collaboration between CPU and DPU in NVMeoF environments. By implementing fine-grained task orchestration, DPIO effectively bridges the performance gap between DPU offloading and CPU processing, achieving near-optimal system performance across diverse workloads. Our real-world implementation demonstrates that DPIO delivers over 2 × higher throughput compared to conventional DPU-centric NVMeoF approaches, significantly enhancing the efficiency of data-intensive applications.
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