Speaker
Description
High-speed data processing in DAQ systems using hardware accelerators is gaining traction to cope with the increasing intensity of accelerator beams. We are investigating the potential of implementing such accelerator devices for the DAQ system at the RIKEN RIBF. AMD’s Alveo series and Versal VCK5000 cards, which leverage FPGA and ACAP architectures, support PCI Express for seamless integration into standard workstations. We have implemented a test bench for the online PID monitoring system, which consists of three machines: 1. A DAQ machine, running the standard RIBF DAQ and event builder software along with a data replayer that generates the raw data packet stream using previously recorded experimental data. 2. The TX machine, equipped with an Alveo U50 card, receives the re-built event blocks from the DAQ machine via TCP. The received raw events are processed directly in-memory and transmitted via the QSFP28 port with a 40 Gbps communication throughput. 3. The RX machine, fitted with a Versal VCK5000 card, receives the data and performs calibration, track reconstruction, and particle identification for the BigRIPS separator. The processed data is continuously saved using double buffering and visualized in real-time. We have successfully demonstrated the end-to-end operation of this scheme, achieving a visualization latency, measured from the start of data acquisition, of less than one second, including all communication and data processing. In this contribution, we will present the current status and future prospects of this project.
| Minioral | Yes |
|---|---|
| IEEE Member | No |
| Are you a student? | No |