Sebastien Bourdeauducq
b74b8d5826
Scheduling TNG
2015-05-17 16:11:00 +08:00
Sebastien Bourdeauducq
283695e8aa
language/core: integrate watchdogs
2015-04-28 23:23:59 +08:00
Sebastien Bourdeauducq
71b7fe38bc
worker_impl: add missing import
2015-04-05 17:50:48 +08:00
Sebastien Bourdeauducq
9b46bc623a
dbhub: do not use as context manager, turn close exceptions into warnings, do not close devices early in worker
2015-04-05 17:49:41 +08:00
Robert Jördens
43893c6c1d
worker_impl: use DBHub as context manager
2015-04-04 20:51:48 -06:00
Sebastien Bourdeauducq
200e20fb39
worker: close devices immediately after run and before analyze
2015-03-20 12:01:34 +01:00
Sebastien Bourdeauducq
2b3641ac0a
db,worker: fix realtime result initialization
2015-03-13 15:12:55 +01:00
Sebastien Bourdeauducq
43a05c783d
worker: split write_results action
2015-03-11 19:06:46 +01:00
Sebastien Bourdeauducq
d5795fd619
master: watchdog support
...
Introduces a watchdog context manager to use in the experiment code that
terminates the process with an error if it times out. The syntax is:
with self.scheduler.watchdog(20*s):
...
Watchdogs timers are implemented by the master process (and the worker
communicates the necessary information about them) so that they can be
enforced even if the worker crashes. They can be nested arbitrarily.
During yields, all watchdog timers for the yielding worker are
suspended [TODO]. Setting up watchdogs is not supported in kernels,
however, a kernel can be called within watchdog contexts (and terminating
the worker will terminate the kernel [TODO]).
It is possible to implement a heartbeat mechanism using a watchdog, e.g.:
for i in range(...):
with self.scheduler.watchdog(...):
....
Crashes/freezes within the iterator or the loop management would not be
detected, but they should be rare enough.
2015-03-11 16:43:14 +01:00
Sebastien Bourdeauducq
f2134fa4b2
master,worker: split prepare/run/analyze
2015-03-09 23:34:09 +01:00
Sebastien Bourdeauducq
4c280d5fcc
master: use a new worker process for each experiment
2015-03-09 16:22:41 +01:00
Sebastien Bourdeauducq
d95a9cac9a
move realtime result registration into dbh, simplify syntax
2015-03-08 17:27:27 +01:00
Sebastien Bourdeauducq
f2e3dfb848
Experiment base class, replace __artiq_unit__ with docstring
2015-03-08 15:55:30 +01:00
Sebastien Bourdeauducq
4267e0deab
master,artiq_run: simplify unit autodetection
2015-02-21 20:26:58 -07:00
Sebastien Bourdeauducq
965dd89b61
master: reorganize result output code
2015-02-21 14:28:18 -07:00
Sebastien Bourdeauducq
1aec6a0462
master: name results 'year-month-day/hour-minute/runid-experiment'
2015-02-21 13:42:26 -07:00
Sebastien Bourdeauducq
cc172699ea
master: use RID + unit class name for HDF5 filenames
2015-02-20 14:11:55 -07:00
Sebastien Bourdeauducq
65555a3a09
artiq_run,master: introduce __artiq_unit__ attribute to mark and name experiments
2015-02-20 14:01:34 -07:00
Sebastien Bourdeauducq
0dd5692c32
master,run: pass run_params to experiment
2015-02-19 20:05:12 -07:00
Sebastien Bourdeauducq
4d21b78314
master,client,gui: factor timeout into run_params
2015-02-19 20:03:55 -07:00
Sebastien Bourdeauducq
c69c4d5ce9
master: expose scheduler API to experiments
2015-02-19 12:09:11 -07:00
Sebastien Bourdeauducq
9ffc370416
master,run: automatically call analyze function
2015-02-19 09:40:15 -07:00
Sebastien Bourdeauducq
af79392918
master: basic dumping of results to HDF5
2015-02-04 18:37:57 +08:00
Sebastien Bourdeauducq
3e22fe86b5
reorganize files as per discussion with Robert
2015-01-17 19:38:20 +08:00
Sebastien Bourdeauducq
070788a680
separate master modules
2015-01-14 12:16:49 +08:00
