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27.09.2014 Views

efore the execution of the sequence. This allows the Qubit Server to forward the burden of setting up the microwave generator and other involved hardware to the GHz DAC Server. As described in Section 7.5.14, this is necessary to allow for the execution of the sequences to be pipelined in the most efficient way. 7.5.13 DAC Calibration Server The DAC Calibration Server provides functions to modify signal data that is to be output via the GHz DAC boards in order to correct for imperfections in the output electronics chain. For this, the DAC Calibration Server first takes a set of calibration data that measures, for example, the response of the output electronics to a delta-function signal. This data is stored in the Data Vault to later allow for a signal to be corrected by taking the desired signal’s Fourier transform, dividing the result by the Fourier transform of the delta-function response, and inverting the Fourier transform to recover a corrected version of the data. The corrected data is returned to (in this case) the Qubit Server so that it can be uploaded to the respective GHz DAC boards. To correct for as many different electronic deficiencies as possible, the DAC Calibration Server needs to take several different calibration datasets. These include traces returned by a sampling scope as well as measurements with a spectrum analyzer. The DAC Calibration Server takes this data automatically via calls 166

to the “Sampling Scope Server”, the “Spectrum Analyzer Server”, the “Anritsu Server”, as well as the “GHz DAC Server”. 7.5.14 GHz DAC Server The GHz DAC Server plays one of the most crucial roles in the data taking process. Due to the fact that most of the data taking action is controlled by the GHz DAC boards, it handles pretty much all of the resource scheduling required to run multiple experiments at the same time on the same hardware. The GHz DAC Server can receive requests for data runs in multiple different Contexts at the same time and actively serializes them on the hardware in the most efficient way possible. It does so by allowing a Context to already prepare its run by uploading the required data onto the GHz DAC boards while the previous run is still executing. It then halts the execution of that Context until the previous run completes. This completion is detected via the arrival of all expected timing data at the Direct Ethernet Server. Before this data is actually read from the Direct Ethernet Server, though, the setup of the next run is finalized by sending out the required hardware configuration packages (see Section 7.5.12) and the run is started. This approach minimizes the amount and size of LabRAD Requests that happen between data runs as much as possible to achieve the best possible performance. Since all other processing of data happens in parallel with this, one 167

to the “Sampling Scope Server”, the “Spectrum Analyzer Server”, the “Anritsu<br />

Server”, as well as the “GHz DAC Server”.<br />

7.5.14 GHz DAC Server<br />

The GHz DAC Server plays one <strong>of</strong> the most crucial roles in the data taking<br />

process. Due to the fact that most <strong>of</strong> the data taking action is controlled by the<br />

GHz DAC boards, it handles pretty much all <strong>of</strong> the resource scheduling required<br />

to run multiple experiments at the same time on the same hardware. The GHz<br />

DAC Server can receive requests for data runs in multiple different Contexts at<br />

the same time and actively serializes them on the hardware in the most efficient<br />

way possible.<br />

It does so by allowing a Context to already prepare its run by<br />

uploading the required data onto the GHz DAC boards while the previous run<br />

is still executing. It then halts the execution <strong>of</strong> that Context until the previous<br />

run completes. This completion is detected via the arrival <strong>of</strong> all expected timing<br />

data at the Direct Ethernet Server. Before this data is actually read from the<br />

Direct Ethernet Server, though, the setup <strong>of</strong> the next run is finalized by sending<br />

out the required hardware configuration packages (see Section 7.5.12) and the run<br />

is started. This approach minimizes the amount and size <strong>of</strong> LabRAD Requests<br />

that happen between data runs as much as possible to achieve the best possible<br />

performance. Since all other processing <strong>of</strong> data happens in parallel with this, one<br />

167

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