wehub-resource-sync
16 lines
1.4 KiB
JSON
16 lines
1.4 KiB
JSON
{
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"_peak_memory": 3.18,
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"_peak_process_memory": "PID\tMEM\tCOMMAND\n291\t1.44GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n2023\t0.85GiB\tpython distributed/test_many_actors.py\n415\t0.35GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/dashboa\n47\t0.09GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n717\t0.06GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/agen\n44\t0.06GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=aph0_Ckc\n2160\t0.06GiB\tray::MemoryMonitorActor.run\n342\t0.05GiB\t/home/ray/anaconda3/bin/python -m ray.util.client.server --address=172.31.240.63:9031 --host=0.0.0.0\n615\t0.05GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/_private/log_m\n542\t0.02GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/raylet/raylet --raylet_socket_name=",
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"actors_per_second": 600.3905147006428,
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"num_actors": 10000,
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"perf_metrics": [
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{
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"perf_metric_name": "actors_per_second",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 600.3905147006428
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}
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],
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"success": "1",
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"time": 16.655826091766357
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}
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