forked from bellwether/minerva
59 lines
1.9 KiB
Python
59 lines
1.9 KiB
Python
from minerva.cluster import Cluster
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from minerva.pier import Pier
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from dask.distributed import Client
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########### PREP ############################
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def worker(pier, n):
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mach = pier.machine(ami = "ami-05a242924e713f80a", # dask on ubuntu 22.04 x86
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instance_type = "t3.medium",
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username = "ubuntu",
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name = f"dask-worker-{n}",
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variables = {"type": "worker",
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"number": n})
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return mach
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def scheduler(pier):
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mach = pier.machine(ami = "ami-05a242924e713f80a", # dask on ubuntu 22.04 x86
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instance_type = "t3.medium",
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username = "ubuntu",
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name = f"dask-scheduler",
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variables = {"type": "scheduler"})
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return mach
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########## CLUSTER ##########################
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pier = Pier("hay",
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subnet_id = "subnet-05eb26d8649a093e1", # project-subnet-public1-us-east-1a
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sg_groups = ["sg-0f9e555954e863954", # ssh
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"sg-0b34a3f7398076545", # default
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"sg-04cd2626d91ac093c"], # dask (8786, 8787, ping)
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iam = "S3+SSM+CloudWatch+ECR",
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key_pair = ("Ari-Brown-HAY", "~/.ssh/Ari-Brown-HAY.pem"))
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cluster = Cluster(pier, scheduler, worker, num_workers=1)
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cluster.start()
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client = Client(cluster.private_location)
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print(client)
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########## USAGE ########################
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try:
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# Practice with a big array
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import numpy as np
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import dask.array as da
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large_array = np.random.rand(10000, 10000)
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print("oh boy")
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dask_array = da.from_array(large_array, chunks=(100, 100))
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dask_array = dask_array.persist() # non-blocking
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mean = dask_array.mean().compute()
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print(mean)
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finally:
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########## FIN #######################
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cluster.terminate()
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