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Fast, multi-channel real-time processing of signals with microsecond latency using graphics processing units.

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This study introduces a novel Graphics Processing Unit (GPU) platform for fast digital signal processing (DSP) in tokamak feedback control. The GPU-based system achieves real-time performance with low latency, outperforming traditional hardware options.

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Area of Science:

  • Plasma Physics
  • Control Systems Engineering
  • High-Performance Computing

Background:

  • Fast digital signal processing (DSP) is crucial for real-time control systems.
  • Traditional hardware like FPGAs and DSP chips have limitations in speed and flexibility.
  • Tokamak fusion devices require sophisticated feedback control for stable plasma confinement.

Purpose of the Study:

  • To develop and present a novel DSP platform for real-time feedback control on the HBT-EP tokamak.
  • To leverage Graphics Processing Unit (GPU) acceleration for high-speed signal processing tasks.
  • To achieve ultra-low latency performance for critical control applications.

Main Methods:

  • Implemented a DSP system utilizing a Graphics Processing Unit (GPU) for all signal processing.
  • Employed PCI Express peer-to-peer direct-memory-access transfers for efficient data movement between the GPU and peripherals.
  • Integrated the system with D-TACQ data acquisition modules and an NVIDIA GTX 580 GPU programmed using CUDA.
  • Tested the platform on the HBT-EP tokamak's feedback control system with 40 inputs/outputs at 250 kHz sampling rate.

Main Results:

  • Achieved real-time performance with latencies below 8 microseconds.
  • Demonstrated successful operation of the feedback control system on the HBT-EP tokamak.
  • Validated the efficiency of GPU-based processing and peer-to-peer DMA transfers for high-throughput data.

Conclusions:

  • The GPU-based DSP platform offers a viable and high-performance alternative to traditional hardware for tokamak feedback control.
  • The system's low latency and high processing capability are suitable for demanding real-time applications.
  • This approach advances the potential for complex, high-speed control in fusion energy research.