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#PLEASE SPECIFY THE R path here where you built the R math library standalone | |
RMATH=/cm/shared/apps/R/3.4.3/gcc/5.4/lib | |
#compiler | |
CXX=g++ -std=c++11 | |
#internal paths | |
VPATH=$(shell for file in `find src -name *.cpp`; do echo $$(dirname $$file); done) | |
PATH_TABX=lib/Tabix | |
PATH_EIGN=lib/Eigen |
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#!/bin/bash | |
#SBATCH -p shared | |
#SBATCH --reservation=t-jgray21 | |
#SBATCH -t 4:0:0 | |
#SBATCH -N 1 | |
#SBATCH -n 20 | |
#SBATCH -J pyrosetta_job | |
# important presets for pyrosetta | |
export AMINO_SURFACE_CALL="--job_title HAp_FEP --surface_type HAp_010 --aa_type A --batches 500 --batch_size 100" |
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Bootstrap: docker | |
From: centos:centos7 | |
%environment | |
PATH="/opt/software/bin:$PATH" | |
export PATH | |
LD_LIBRARY_PATH="/opt/software/lib/openmpi:$LD_LIBRARY_PATH" | |
export LD_LIBRARY_PATH | |
%files |
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#!/bin/bash | |
# this module is specific to MARCC | |
module load anaconda-python/3.6 | |
# create anaconda environment and use it | |
conda create -y -n sircel python | |
source activate sircel | |
# install kallisto, redis |
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set autoindent | |
set tabstop=2 | |
set shiftwidth=2 | |
autocmd FileType yaml setlocal ai ts=2 sw=2 et | |
autocmd FileType yml setlocal ai ts=2 sw=2 et |
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#include <iostream> | |
#include <fstream> | |
using namespace std; | |
// dgeev_ is a symbol in the LAPACK library files | |
extern "C" { | |
extern int dgeev_(char*,char*,int*,double*,int*,double*, double*, double*, int*, double*, int*, double*, int*, int*); | |
} |
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3 3 | |
-1.0 -8.0 0.0 | |
-1.0 1.0 -5.0 | |
3.0 0.0 2.0 |
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""" | |
Running LAPACK with Anaconda Python | |
Copyright 2016 Ohio Supercomputer Center (OSC) | |
Copyright 2017 Maryland Advanced Research Computing Center (MARCC) | |
Attributions: | |
This example was inspired by | |
"Numerical Computing with Modern Fortran" (SIAM, 2013) by Hanson & Hopkins | |
""" |
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#!/bin/bash -l | |
#SBATCH --job-name=test_with_gnu_parallel | |
#SBATCH --partition=parallel | |
#SBATCH --time=1:0:0 | |
#SBATCH --nodes=1 | |
#SBATCH --ntasks=4 | |
#SBATCH --cores=6 | |
# in this example we are using multithreading via MKL threads | |
# if you have single core tasks set ntasks=24 |