Chenxingyu Zhao and Jaehong Min, University of Washington; Ming Liu, University of Wisconsin-Madison; Arvind Krishnamurthy, University of Washington
Driven by diverse workloads and deployments, numerous innovations emerge to customize RDMA transport, spanning congestion control, multi-tenant isolation, routing, and more. However, RDMA's hardware-offloading nature poses significant rigidity when landing these innovations. Prior workflows to deliver customizations have either waited for lengthy hardware iterations, developed bespoke hardware, or applied coarse-grained control over the black-box RDMA NIC. Despite considerable efforts, current customization workflows still lack flexibility, raw performance, and broad availability.
In this work, we advocate for White-Boxing RDMA, which provides control of the hardware transport to general-purpose software while preserving raw data path performance. To facilitate the white-boxing methodology, we design and implement Software-Controlled RDMA (SCR), a framework enabling packet-granular software control over the hardware transport. To address challenges stemming from granular control over high-speed line rates, SCR employs effective control models, boosts the efficiency of subsystems within the framework, and leverages emerging hardware capabilities. We implement SCR on the latest Nvidia BlueField-3 equipped with Datapath Accelerators, delivering a spectrum of new customizations not present in legacy RDMA transport, such as Multi-Tenant Fair Scheduler, User-Defined Congestion Control, Receiver-Driven Flow Control, and Multi-Path Routing Selection. Furthermore, we demonstrate SCR's applicability for GPU-Direct and NVMe-oF RDMA with zero modifications to machine learning or storage code.
