Running independent kernels with DRTIO?

kjh-m

We have two Sinara systems, which have been running standalone on separate scientific experiments. However, now I’m contemplating on using both for the same experiment.

I would need to have one system running a particular kernel more or less constantly, save for some RPC-interrupts. Other system would be used more interactively, with experiments being submitted by a user.

So, my question is: is it possible to use Artiq DRTIO functionality for this purpose? Can both RTIO cores have kernels running independent of each other, e.g. in separate pipelines in one Artiq master? I suppose I could run both systems stand-alone, but using DRTIO would give me synchronization between be RTIO cores.

BR
Kalle

sb10q

This is not implemented (i.e. you will have to run two separate standalone systems) but technically doable. If you would like to sponsor this development, please email us (sales@m-l**s.hk).

kjh-m

Ok, thank you for the clarification! I'll run the systems stand-alone in this case.

Is it possible to run masters for multiple stand-alone systems on a same computer (by e.g. simply changing the TCP ports each master uses)?

sb10q

kjh-m Is it possible to run masters for multiple stand-alone systems on a same computer (by e.g. simply changing the TCP ports each master uses)?

Yes. But you don't need to do that; a single master can have several core devices.

kjh-m

Ok, great!

So do I just define both core devices in the same device_db.py -file? Can you provide a bare-bones example of such configuration?

sb10q

kjh-m So do I just define both core devices in the same device_db.py -file?

Yes, with different names, and then you select one or the other by name in the experiment either:

with self.setattr_device("my_core") followed by @kernel("my_core") decorators. Using this technique, the same experiment can use several core devices.
with self.core = self.get_device("my_core")