A Congestion-Aware RDMA Front-End for LST Advanced Camera Readout

The Advanced Camera (AdvCam) upgrade of the Large-Sized Telescopes (LSTs) calls for a fully digital readout in which each front-end board streams data to the event-building servers over commercial 10 Gb/s Ethernet, using an FPGA implementation of Remote Direct Memory Access (RDMA) over Converged Ethernet v2 (RoCEv2). In a previous work, a customized RoCEv2 core integrated with the SLAC SURF UDP/MAC stack was shown to sustain near-line-rate data transfers from a Xilinx KCU105 to a server equipped with a Mellanox ConnectX-5 NIC. However, the AdvCam topology is an incast funnel: many 10 GbE links converge onto a single uplink, and bare Priority Flow Control (PFC) congestion management protocol is known to be unfair and to suffer from head-of-line blocking. This work extends the previous design with the Data Center Quantized Congestion Notification (DCQCN) algorithm. A protocol-level ns-3 simulation is used to validate the DCQCN dynamics and to explore the parameter space; an FPGA rate-limiter integrated into the SURF MAC reacts to incoming Congestion Notification Packets (CNPs) according to the DCQCN state machine; a cocotb testbench with an emulated Python switch verifies the firmware end-to-end against a Soft-RoCE receiver; and a three-sender incast hardware test on a DCQCN-enabled commercial switch reproduces the canonical fair-share, reactive-redistribution, and saw-tooth behaviour expected from a commercial RDMA NIC. The internal rate-limiter register is shown to track the measured RoCEv2 throughput cycle by cycle.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-10-26
DOI
https://doi.org/10.48550/arxiv.2610.35171
Primary Topic
Network Traffic and Congestion Control
Type
preprint
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preprint

A Congestion-Aware RDMA Front-End for LST Advanced Camera Readout

M. Toffano, A. Bergnoli, L. Modenese, A. Griggio et al.
arXiv (Cornell University)
Network Traffic and Congestion Control
preprint

A Congestion-Aware RDMA Front-End for LST Advanced Camera Readout

M. Toffano, A. Bergnoli, L. Modenese, A. Griggio, F. Marini, M. Bellato, R. Isocrate, F. Montecassiano
preprint en

Abstract

The Advanced Camera (AdvCam) upgrade of the Large-Sized Telescopes (LSTs) calls for a fully digital readout in which each front-end board streams data to the event-building servers over commercial 10 Gb/s Ethernet, using an FPGA implementation of Remote Direct Memory Access (RDMA) over Converged Ethernet v2 (RoCEv2). In a previous work, a customized RoCEv2 core integrated with the SLAC SURF UDP/MAC stack was shown to sustain near-line-rate data transfers from a Xilinx KCU105 to a server equipped with a Mellanox ConnectX-5 NIC. However, the AdvCam topology is an incast funnel: many 10 GbE links converge onto a single uplink, and bare Priority Flow Control (PFC) congestion management protocol is known to be unfair and to suffer from head-of-line blocking. This work extends the previous design with the Data Center Quantized Congestion Notification (DCQCN) algorithm. A protocol-level ns-3 simulation is used to validate the DCQCN dynamics and to explore the parameter space; an FPGA rate-limiter integrated into the SURF MAC reacts to incoming Congestion Notification Packets (CNPs) according to the DCQCN state machine; a cocotb testbench with an emulated Python switch verifies the firmware end-to-end against a Soft-RoCE receiver; and a three-sender incast hardware test on a DCQCN-enabled commercial switch reproduces the canonical fair-share, reactive-redistribution, and saw-tooth behaviour expected from a commercial RDMA NIC. The internal rate-limiter register is shown to track the measured RoCEv2 throughput cycle by cycle.

arXiv (Cornell University)
Network Traffic and Congestion Control
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