Chris Hill christophernhill

## nf90io_mitgcm_test_20170807.sh
# Make sure system drive has some free space


# Setup docker
curl -fsSL https://get.docker.com/ | sh
systemctl enable docker
systemctl start docker

# Fetch an image from Docker hub
docker pull centos:7.3.1611

## push_mitgcm_testreport_image_to_dockerhub.sh
docker run --name centos_base-7.3.1611 -d -t centos:7.3.1611 /bin/bash
docker exec -t -i centos_base /bin/bash
# in container
    yum -y install epel-release
    yum -y install environment-modules
    yum -y install which make m4 bc
    yum -y install gcc gcc-gfortran
    yum -y install mvapich2-2.2 mvapich2-2.2-devel
    yum -y install mpich-3.2 mpich-3.2-devel
    yum -y install mpich     mpich-devel

## eigvfftneuz.ipynb

      
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                christophernhill
                / eigvfftneuz.ipynb
            
            
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              December 2, 2018 19:31
            
          
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## letsencrypt-setup.sh
git clone https://github.com/letsencrypt/letsencrypt
cd letsencrypt
./letsencrypt-auto certonly --standalone -d mit-12-010-fall2019.cyberinfrastructure.org.tld
key: /etc/letsencrypt/live/mit-12-010-fall2019.cyberinfrastructure.org.tld/privkey.pem
cert: /etc/letsencrypt/live/mit-12-010-fall2019.cyberinfrastructure.org.tld/fullchain.pem

## eigtrihelm-001.jl
# Julia code for Helmholtz solve with tridiag Neumann in inner dimension and
# periodic in outer up to 2 dimensions.
# Set environment
using Pkg

Pkg.add("LinearAlgebra")
using LinearAlgebra

Pkg.add("FFTW")
using FFTW

## eigvfft-for-oliver.jl
## Functions for eigvfft notebook.
## to use: include("./eigvfft.jl")

# Set environment
using Pkg

Pkg.add("LinearAlgebra")
using LinearAlgebra

Pkg.add("FFTW")

## eigvariableznohelm.jl
include("./eigvfft-for-oliver.jl");
IJulia.clear_output();

dz=ones(4,1)[:];dz[1]=4.;dz
dz=[1.,2.,3,4.]
# dz=[ones(1,10) ones(1,20)*2 ones(1,100)*5 ]

Az=mkA_N(dz);Nz=size(Az,1)
Ah,Nx,Ny,Nzz,NN=mkA_PPN(3,3,1);
Nh=size(Ah,1);

## cuml-tsne.py
# demo for profiling python using command
#
# nvprof --print-gpu-trace python cuml_tsne.py

from sklearn.datasets import load_digits
X, y = load_digits().data, load_digits().target
from cuml.manifold import TSNE
tsne = TSNE(n_components = 2)
X_hat = tsne.fit_transform(X)

## batch-job-example.lsf
#BSUB -L /bin/bash
##
## Begin LSF Directives (change only no of required GPUs processes/GPUs and job-name-single name as desired/need)
## - "-n 4" for single AC922, "-n 8" for 2x AC922s, "-n 16" for 4x AC922s etc
##
#BSUB -J "energy-ai"
#BSUB -o "energy-ai_o.%J"
#BSUB -e "energy-ai_e.%J"
#BSUB -n 16
#BSUB -R "span[ptile=4]"

## plot-gh-pr-open-close-rate.py
import requests
import time
import json
from github import Github
import pandas as pd
import os
gt = os.getenv('GIT_TOKEN') # Get this from your Github Oauth tokens
print(gt)

# Get list of all PRs
	# Make sure system drive has some free space


	# Setup docker
	curl -fsSL https://get.docker.com/ \| sh
	systemctl enable docker
	systemctl start docker

	# Fetch an image from Docker hub
	docker pull centos:7.3.1611
	docker run --name centos_base-7.3.1611 -d -t centos:7.3.1611 /bin/bash
	docker exec -t -i centos_base /bin/bash
	# in container
	yum -y install epel-release
	yum -y install environment-modules
	yum -y install which make m4 bc
	yum -y install gcc gcc-gfortran
	yum -y install mvapich2-2.2 mvapich2-2.2-devel
	yum -y install mpich-3.2 mpich-3.2-devel
	yum -y install mpich mpich-devel
	git clone https://github.com/letsencrypt/letsencrypt
	cd letsencrypt
	./letsencrypt-auto certonly --standalone -d mit-12-010-fall2019.cyberinfrastructure.org.tld
	key: /etc/letsencrypt/live/mit-12-010-fall2019.cyberinfrastructure.org.tld/privkey.pem
	cert: /etc/letsencrypt/live/mit-12-010-fall2019.cyberinfrastructure.org.tld/fullchain.pem
	# Julia code for Helmholtz solve with tridiag Neumann in inner dimension and
	# periodic in outer up to 2 dimensions.
	# Set environment
	using Pkg

	Pkg.add("LinearAlgebra")
	using LinearAlgebra

	Pkg.add("FFTW")
	using FFTW
	## Functions for eigvfft notebook.
	## to use: include("./eigvfft.jl")

	# Set environment
	using Pkg

	Pkg.add("LinearAlgebra")
	using LinearAlgebra

	Pkg.add("FFTW")
	include("./eigvfft-for-oliver.jl");
	IJulia.clear_output();

	dz=ones(4,1)[:];dz[1]=4.;dz
	dz=[1.,2.,3,4.]
	# dz=[ones(1,10) ones(1,20)2 ones(1,100)5 ]

	Az=mkA_N(dz);Nz=size(Az,1)
	Ah,Nx,Ny,Nzz,NN=mkA_PPN(3,3,1);
	Nh=size(Ah,1);
	# demo for profiling python using command
	#
	# nvprof --print-gpu-trace python cuml_tsne.py

	from sklearn.datasets import load_digits
	X, y = load_digits().data, load_digits().target
	from cuml.manifold import TSNE
	tsne = TSNE(n_components = 2)
	X_hat = tsne.fit_transform(X)
	#BSUB -L /bin/bash
	##
	## Begin LSF Directives (change only no of required GPUs processes/GPUs and job-name-single name as desired/need)
	## - "-n 4" for single AC922, "-n 8" for 2x AC922s, "-n 16" for 4x AC922s etc
	##
	#BSUB -J "energy-ai"
	#BSUB -o "energy-ai_o.%J"
	#BSUB -e "energy-ai_e.%J"
	#BSUB -n 16
	#BSUB -R "span[ptile=4]"
	import requests
	import time
	import json
	from github import Github
	import pandas as pd
	import os
	gt = os.getenv('GIT_TOKEN') # Get this from your Github Oauth tokens
	print(gt)

	# Get list of all PRs