Papers › Combining processing throughput, low latency and timing accuracy in experiment control
Combining processing throughput, low latency and timing accuracy in experiment control
Chun Kit Lam, Stephan Maka, David Nadlinger, Chris Ballance, Sébastien Bourdeauducq
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We ported the firmware of the ARTIQ experiment control infrastructure to an embedded system based on a commercial Xilinx Zynq-7000 system-on-chip. It contains high-performance hardwired CPU cores integrated with FPGA fabric. As with previous ARTIQ systems, the FPGA fabric is responsible for timing all I/O signals to and from peripherals, thereby retaining the exquisite precision required by most quantum physics experiments. A significant amount of latency is incurred by the hardwired interface between the CPU core and FPGA fabric of the Zynq-7000 chip; creative use of the CPU's cache-coherent accelerator ports and the CPU's event flag allowed us to reduce this latency and achieve better I/O performance than previous ARTIQ systems. The performance of the hardwired CPU core, in particular when floating-point computation is involved, greatly exceeds that of previous ARTIQ systems based on a softcore CPU. This makes it interesting to execute intensive computations on the embedded system, with a low-latency path to the experiment. We extended the ARTIQ compiler so that many mathematical functions and matrix operations can be programmed by the user, using the familiar NumPy syntax.
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