I am using matlab to extract data from an instrument, now I would like to use another instrument to collect simultaneous data, and write them (both instrument’s data) off in excel with time stamp. Now I want Matlab to perform the acquisition of data

I am using matlab to extract data from an instrument, now I would like to use another instrument to collect simultaneous data, and write them (both instrument’s data) off in excel with time stamp. Now I want Matlab to perform the acquisition of data from two instruments to occur simultaneously, and not consecutively; i.e. to use individual cores dedicated to read the data from individual instruments at the same time, while using another core to write them off in excel, so that I don’t spend time not measuring. Any help or suggestions would be much appreciated.

Thanks in advance.

I am using two Fluke multimeters via DHCP communication protocol to acquire data.

[Gaurav Ahuja]

Reading the following links would give an idea about the parallelism provided by MATLAB.

https://www.mathworks.com/discovery/matlab-multicore.html (read "Parallelism Using MATLAB Workers")

https://www.mathworks.com/products/distriben.html ("MATLAB Distributed Computing Server" lets you take advantages of the parallelism offered by cluster computing)

https://www.mathworks.com/help/simulink/examples/assigning-tasks-to-cores-for-multicore-programming.html#zmw57dd0e16538 (helps you generate code from Simulink models that can be assigned to specific processors).

I feel "Parallelism Using MATLAB Workers" is most practical for your use case. However, I am not sure if it allows you to bind a "worker" to a particular core.

You can parallelise (software parallelism) the process of data gathering and storing in excel by using functions like:-

parfor (https://www.mathworks.com/help/distcomp/parfor.html)

spmd (https://www.mathworks.com/help/distcomp/spmd.html)

I hope this helps. It should help you achieve some parallelism for your use-case.