experiment class for laghos #362
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repo/laghos/application.py
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| workload_variable('rp', default='0', | ||
| description='number of parallel refinements', | ||
| workloads=['laghos']) | ||
| workload_variable('ms', default='4', |
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Likewise let's update this default value back to 500
| def compute_applications_section(self): | ||
| variables = {} | ||
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| if self.spec.satisfies("scaling=weak"): |
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Let's start with the scaling assuming a single node, but change problem size per rank instead, once we know we have this right we can add more nodes or make updates. So for weak scaling:
rs values: 1
num processes: 8
rp values (increases workload per rank): 1,2,3,4
Another option if you can also implement this is rs values 1,2,3 and mpi processes 1,8,64
| variables["rs"] = ["5","6"] | ||
| variables["n_nodes"] = ["1","8"] | ||
| elif self.spec.satisfies("scaling=strong"): | ||
| variables["n_nodes"] = ["1","8"] |
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Instead of increasing nodes for strong scaling let's keep it on one node and increase MPI ranks, 1,8,64. We should lower the rs value to 1 or 2 here as well, depending on how long this takes to solve, these would ideally be less than 5 minutes to solve.
| "problem": { | ||
| #"variables": variables, | ||
| "experiments": { | ||
| "laghos_{n_nodes}_{n_ranks}": { |
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Can you add the other parameters into the naming scheme here, so basically anything that gets passed in (rs, rp, etc) should be in here, see the naming for the kripke experiment in https://github.com/LLNL/benchpark/pull/344/files
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@august-knox I enabled a dry-run test and it is failing. Please diagnose/fix.
pearce8
added
ci
| @@ -0,0 +1,74 @@ | |||
| from benchpark.directives import variant | |||
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@pearce8 @august-knox We need to remove this file. I just kept it around for comparison
remove old format
…into experiment/laghos
removing old laghos location
…into experiment/laghos
removing smb
removing smb
…into experiment/laghos
bin/benchpark experiment init --dest laghos
Don't believe there's any variants that need to be specified here