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ALMA dataset (project)

casa-CAS-9386-51 (CASA 6.1.0.54a9386.dev51)

Pipeline master-v0.1-145-ge322387-dirty (hifacal.py)

casa-CAS-9386-52 (CASA 6.1.0.54a9386.dev52)

Pipeline master-v0.1-143-g6f5b3d8 (hifacal.py)

casa-CAS-9386-52 (CASA 6.1.0.54a9386.dev52)

Pipeline master-v0.1-143-g6f5b3d8 (hifacal.py)

2 way parallelization

2017.1.00717.S

complete

not startednot started
2017.1.01214.S

testingcomplete

not startednot started
2017.1.00884.Stestingcomplete
not startednot started
E2E6.1.00080.Stestingcomplete
not startednot started
2017.1.00983.Stestingcomplete
not startednot started

For all tests below Record tclean parameters and telemetry data for each of the 3 tclean calls.

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ALMA dataset (project)

casa-pipeline-release-5.6.1-8.el7

pipeline rev. 42866 hifatargets.py

casa-6.1.0-63

Pipeline master-v0.1-143-g6f5b3d8 hifatargets.py


casa-CAS-9386-52 (CASA 6.1.0.54a9386.dev52)

Pipeline master-v0.1-143-g6f5b3d8 hifatargets.py

2017.1.00717.Stesting (aws); complete (local run)not startedtesting
not started
testing
2017.1.01214.Stesting (aws); complete (local run)not started
not started
2017.1.00884.Stesting (aws); complete (local run)not startedtestingnot startedtesting
E2E6.1.00080.Stesting (aws); complete (local run)not startednot started
2017.1.00983.Stesting (aws); complete (local run)not startedtesting
not started
testing


The following tests vary memory environment for each data set, all tests using casa-CAS-9386-52 (CASA 6.1.0.54a9386.dev52) refactor code. All tests run within AWS

ALMA dataset (project)

128 GB memory 8 way parallelization

hifatargets.py

256 GB memory 8 way parallelization

hifatargets.py

512 GB memory 8 way parallelization

hifatargets.py

2017.1.00717.Snot startedtestingnot startedtestingnot startedtesting
2017.1.01214.Snot started
not started

not started

2017.1.00884.Snot startedtestingnot startedtestingnot startedtesting
E2E6.1.00080.Snot startednot startednot started
2017.1.00983.Snot startedtesting
not started
testing
not startedtesting

As a control the following two data sets will be run on NRAO clusters as a check against AWS runs.  Of the 5 test data sets 2017.1.0084.S has the highest memory footprint, 2017.1.00983.S is the longest running.

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