Commit bc94f75e authored by Brewer, Wes's avatar Brewer, Wes
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Aggregate system power for multi-partition systems. Restructure setonix... 

Aggregate system power for multi-partition systems. Restructure setonix configs to config/setonix/part-*
parent 5888713d

README.md

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@@ -56,7 +56,7 @@ given instead of the parquet files for more quickly running subsequent simulatio 


Multi-partition systems are supported by running the `multi-part-sim.py` script, where a list of configurations can be specified using the `-x` flag as follows:



    python multi-part-sim.py -x setonix-cpu setonix-gpu

    python multi-part-sim.py -x setonix/part-cpu setonix/part-gpu



This will simulate synthetic workloads on two partitions as defined in `config/setonix-cpu` and `config/setonix-gpu`. To replay telemetry workloads from another system, e.g., Marconi100's PM100 dataset, first create a .npz snapshot of the telemetry data, e.g.,
@@ -64,7 +64,7 @@ This will simulate synthetic workloads on two partitions as defined in `config/s 


This will dump a .npz file with a randomized name, e.g. ac23db.npz. Let's rename this file to pm100.npz for clarity. Note: can control-C when the simulation starts. Now, this pm100.npz file can be used with `multi-part-sim.py` as follows:



    python multi-part-sim.py -x setonix-cpu setonix-gpu -f pm100.npz --reschedule --scale 192

    python multi-part-sim.py -x setonix/part-cpu setonix/part-gpu -f pm100.npz --reschedule --scale 192



The `--reschedule` flag will use the internal scheduler to determine what nodes to schedule for each job, and the `--scale` flag will specify the maximum number of nodes for each job (generally set this to the max number of nodes of the smallest partition).