terminology.yaml

hpc_modules:
- name: python/3.12.8-fasrc01
  description: Python 3.12 with Anaconda distribution
  category: programming
- name: python/3.10.13-fasrc01
  description: Python 3.10 with Anaconda distribution
  category: programming
- name: R/4.4.3-fasrc01
  description: R statistical computing environment
  category: programming
- name: R/4.3.3-fasrc01
  description: R statistical computing environment
  category: programming
- name: julia/1.0.0-ncf
  description: Julia high-performance computing language
  category: programming
- name: matlab/R2024b-fasrc01
  description: MATLAB technical computing platform
  category: programming
- name: mathematica/13.3.0-fasrc01
  description: Mathematica computational software
  category: programming
- name: Anaconda2/2019.10-fasrc01
  description: Anaconda Python2 distribution
  category: programming
- name: Mambaforge/23.11.0-fasrc01
  description: Mamba Python implementation
  category: programming
- name: Miniforge3/24.11.3-fasrc02
  description: Miniforge Python implementation
  category: programming
- name: intelpython/3.9.16-fasrc01
  description: Intel distribution of Python
  category: programming
- name: gcc/14.2.0-fasrc01
  description: GNU Compiler Collection (latest)
  category: compiler
- name: gcc/13.2.0-fasrc01
  description: GNU Compiler Collection
  category: compiler
- name: gcc/12.2.0-fasrc01
  description: GNU Compiler Collection
  category: compiler
- name: intel/25.0.1-fasrc01
  description: Intel OneAPI compilers and tools (latest)
  category: compiler
- name: intel/24.2.1-fasrc01
  description: Intel OneAPI compilers and tools
  category: compiler
- name: nvhpc/24.11-fasrc01
  description: NVIDIA HPC SDK compilers
  category: compiler
- name: cuda/12.9.1-fasrc01
  description: NVIDIA CUDA toolkit (latest)
  category: gpu
- name: cuda/12.4.1-fasrc01
  description: NVIDIA CUDA toolkit
  category: gpu
- name: cuda/11.8.0-fasrc01
  description: NVIDIA CUDA toolkit (older stable)
  category: gpu
- name: cudnn/9.5.1.17_cuda12-fasrc01
  description: NVIDIA cuDNN deep learning library (latest)
  category: gpu
- name: cudnn/8.9.2.26_cuda12-fasrc01
  description: NVIDIA cuDNN deep learning library
  category: gpu
- name: openmpi/4.1.5-fasrc03
  description: Open MPI implementation (latest)
  category: parallel
- name: openmpi/4.1.4-fasrc01
  description: Open MPI implementation
  category: parallel
- name: mpich/4.3.0-fasrc01
  description: MPICH MPI implementation (latest)
  category: parallel
- name: mpich/4.2.2-fasrc01
  description: MPICH MPI implementation
  category: parallel
- name: intelmpi/2021.14-fasrc01
  description: Intel MPI library (latest)
  category: parallel
- name: intelmpi/2021.13-fasrc01
  description: Intel MPI library
  category: parallel
- name: fftw/3.3.10-fasrc01
  description: Fastest Fourier Transform in the West
  category: library
- name: hdf5/1.14.2-fasrc02
  description: HDF5 data model and file format (latest)
  category: library
- name: hdf5/1.12.2-fasrc01
  description: HDF5 data model and file format
  category: library
- name: netcdf-c/4.9.2-fasrc05
  description: NetCDF C libraries (latest)
  category: library
- name: netcdf-fortran/4.6.1-fasrc01
  description: NetCDF Fortran libraries
  category: library
- name: netcdf-cxx4/4.3.1-fasrc04
  description: NetCDF C++ libraries
  category: library
- name: gsl/2.8-fasrc01
  description: GNU Scientific Library
  category: library
- name: intel-mkl/25.0.1-fasrc01
  description: Intel Math Kernel Library (latest)
  category: library
- name: openblas/0.3.21-fasrc01
  description: Optimized BLAS library
  category: library
- name: cmake/3.31.6-fasrc01
  description: Cross platform build tool (latest)
  category: development
- name: cmake/3.30.3-fasrc01
  description: Cross platform build tool
  category: development
- name: autoconf/2.71-fasrc01
  description: GNU Autoconf build system
  category: development
- name: flex/2.6.4-fasrc01
  description: Lexical analyzer generator
  category: development
- name: jdk/23.0.2-fasrc01
  description: Java Development Kit (latest)
  category: development
- name: gaussian/16-fasrc04
  description: Gaussian computational chemistry software
  category: chemistry
- name: QChem/6.1-fasrc01
  description: Q-Chem quantum chemistry package
  category: chemistry
- name: comsol/6.3-fasrc01
  description: COMSOL Multiphysics simulation
  category: physics
- name: abaqus/2023-fasrc01
  description: Abaqus finite element analysis
  category: physics
- name: lumerical-seas/2024R1-fasrc01
  description: Lumerical FDTD simulation software
  category: physics
- name: rstudio/2024.12.1-fasrc01
  description: RStudio IDE for R (latest)
  category: datascience
- name: vscode/1.98-fasrc01
  description: Visual Studio Code editor (latest)
  category: datascience
- name: pycharm-community/2023.1-fasrc01
  description: PyCharm Python IDE
  category: datascience
- name: knime/5.4.4-fasrc01
  description: KNIME data analytics platform
  category: datascience
- name: sage/10.3-fasrc01
  description: SageMath mathematical software
  category: datascience
- name: gurobi/12.0.1-fasrc01
  description: Gurobi optimization solver
  category: optimization
- name: knitro/13.2.0-fasrc01
  description: KNITRO nonlinear optimization solver
  category: optimization
- name: magma/2.28.7-fasrc02
  description: Magma computational algebra system
  category: mathematics
- name: pari/2.15.5-fasrc01
  description: PARI/GP number theory system
  category: mathematics
cluster_commands:
- name: sbatch
  description: Submit batch job to SLURM scheduler
  usage: sbatch script.sh
  example: sbatch --partition=gpu --gres=gpu:1 my_job.sh
- name: squeue
  description: View job queue status
  usage: squeue -u username
  example: squeue -u $USER --format="%.18i %.9P %.30j %.8u %.8T %.10M %.9l %.6D %R"
- name: scancel
  description: Cancel submitted jobs
  usage: scancel job_id
  example: scancel 12345
- name: sinfo
  description: View cluster partition information
  usage: sinfo
  example: sinfo -p gpu --format="%20P %5a %10l %6t %6c %8z %7m %8d %19N"
- name: salloc
  description: Allocate interactive session
  usage: salloc --partition=shared --time=2:00:00
  example: salloc --partition=gpu --gres=gpu:1 --time=4:00:00 --mem=16G
- name: srun
  description: Run commands on allocated nodes
  usage: srun command
  example: srun --pty bash
- name: module
  description: Environment module system
  usage: module load/unload/list/avail/spider
  example: module load python/3.12.8-fasrc01 cuda/12.9.1-fasrc01
filesystems:
- name: /n/holyscratch01
  description: High-performance scratch storage (30-day purge)
  type: scratch
  usage: Temporary files, large datasets
  quota: 100TB default
- name: /n/home_lab
  description: Lab group home directories
  type: home
  usage: Source code, small datasets
  quota: 50GB default
- name: /n/holylabs
  description: Lab group shared storage
  type: shared
  usage: Persistent shared data
  quota: Varies by lab
- name: /n/holylfs
  description: Lustre high-performance filesystem
  type: performance
  usage: Large-scale parallel I/O
  quota: By allocation
partitions:
- name: shared
  description: Shared CPU nodes for general computing
  max_time: 30-00:00:00
  max_nodes: '1'
  cores_per_node: '48'
  memory_per_node: 192GB
- name: gpu
  description: GPU nodes with V100/A100 accelerators
  max_time: 7-00:00:00
  max_nodes: '4'
  gpu_types:
  - V100
  - A100
  memory_per_node: 384GB
- name: gpu_test
  description: GPU nodes for testing (shorter jobs)
  max_time: 00:30:00
  max_nodes: '1'
  gpu_types:
  - V100
  - A100
  memory_per_node: 384GB
- name: bigmem
  description: High-memory nodes for memory-intensive jobs
  max_time: 7-00:00:00
  max_nodes: '2'
  cores_per_node: '48'
  memory_per_node: 1TB
- name: serial_requeue
  description: Single-core jobs with preemption
  max_time: 30-00:00:00
  max_nodes: '1'
  preemptible: true
  cores_per_node: '1'
job_examples:
  basic_cpu:
    description: Basic CPU job submission
    script: '#!/bin/bash

      #SBATCH --job-name=my_job

      #SBATCH --partition=shared

      #SBATCH --time=4:00:00

      #SBATCH --ntasks=1

      #SBATCH --cpus-per-task=4

      #SBATCH --mem=16G

      #SBATCH --output=%j.out

      #SBATCH --error=%j.err


      module load python/3.12.8-fasrc01

      python my_script.py

      '
  gpu_job:
    description: GPU job with CUDA
    script: '#!/bin/bash

      #SBATCH --job-name=gpu_job

      #SBATCH --partition=gpu

      #SBATCH --gres=gpu:1

      #SBATCH --time=2:00:00

      #SBATCH --ntasks=1

      #SBATCH --cpus-per-task=8

      #SBATCH --mem=32G

      #SBATCH --output=%j.out

      #SBATCH --error=%j.err


      module load python/3.12.8-fasrc01 cuda/12.9.1-fasrc01

      python gpu_training.py

      '
  mpi_job:
    description: Multi-node MPI job
    script: '#!/bin/bash

      #SBATCH --job-name=mpi_job

      #SBATCH --partition=shared

      #SBATCH --nodes=2

      #SBATCH --ntasks-per-node=24

      #SBATCH --time=8:00:00

      #SBATCH --mem-per-cpu=4G

      #SBATCH --output=%j.out

      #SBATCH --error=%j.err


      module load gcc/14.2.0-fasrc01 openmpi/4.1.5-fasrc03

      mpirun ./my_mpi_program

      '
common_workflows:
  interactive_session:
    description: Start interactive computing session
    steps:
    - salloc --partition=shared --time=2:00:00 --mem=8G
    - module load python/3.12.8-fasrc01
    - python
  gpu_interactive:
    description: Interactive GPU session for development
    steps:
    - salloc --partition=gpu_test --gres=gpu:1 --time=30:00 --mem=16G
    - module load python/3.12.8-fasrc01 cuda/12.9.1-fasrc01
    - nvidia-smi
  file_transfer:
    description: Transfer files to/from cluster
    steps:
    - '# From local to cluster:'
    - scp file.txt username@login.rc.fas.harvard.edu:/n/home_user/
    - '# From cluster to local:'
    - scp username@login.rc.fas.harvard.edu:/path/to/file.txt .
best_practices:
- Always specify resource requirements accurately in SLURM scripts
- Use scratch storage (/n/holyscratch01) for temporary files and large datasets
- Load only necessary modules to avoid conflicts
- Test jobs interactively before submitting large batch jobs
- Monitor job progress with squeue and check resource usage
- Clean up scratch files regularly to maintain good cluster citizenship
- Use array jobs for parameter sweeps and multiple similar tasks
- Request appropriate walltime - too short kills jobs, too long delays scheduling
- Use module spider to find detailed information about specific modules
- Check module dependencies and conflicts before loading multiple modules
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  - name: Readme
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    language: markdown
    description: Code example
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    language: markdown
    description: SBATCH -J parallel_netcdf SBATCH -o parallel_netcdf.out
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  - name: Readme
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    language: markdown
    description: SBATCH -J parallel_netcdf SBATCH -o parallel_netcdf.out
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  - name: Readme
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    language: markdown
    description: 'Introduction:'
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    description: Code example
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    description: Code example
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  - name: Readme
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    description: Code example
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  fortran:
  - name: Psgesv
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    language: fortran
    description: LIBPATH=/opt/intel/Compiler/11.0/081/mkl/lib/em64t mpif90  -O1  -o
      psgesv psgesv.f90  \
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  - name: Mpitest
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    language: fortran
    description: 'Fortran 90 MPI example: mpitest.f90'
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  - name: Mpitest
    file_path: src/User_Codes/Parallel_Computing/MPI/mpitest.f
    language: fortran
    description: Code example
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  - name: Ptrap
    file_path: src/User_Codes/Parallel_Computing/MPI/Example2/ptrap.f90
    language: fortran
    description: 'Program: ptrap.f90 Parallel implementation of the trapezoidal rule
      for integration'
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  - name: Planczos2
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    language: fortran
    description: 'Program: planczos2.f90 Lanczos diagonalization with reorthogonalization'
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  - name: External Libs
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    language: fortran
    description: THIS SUBROUTINE IS A TRANSLATION OF THE ALGOL PROCEDURE TRED2, NUM.
      MATH. 11, 181-195(1968) BY MARTIN, REINSCH, AND WILKINSON.
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  - name: Pi Monte Carlo
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    description: 'Program: pi_monte_carlo.f90 Calculate PI via parallel Monte-Carlo
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  - name: Mpi Io Test1
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    language: fortran
    description: 'Program: mpi_IO_test1.f90 Program illustrates use of MPI-IO'
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  - name: Parallel Hdf5 2D
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    description: 'Program: parallel_hdf_2d.f90 This code generates a random 2D array
      and writes it in'
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  - name: Parallel Hdf5 3D
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    language: fortran
    description: 'Program: parallel_hdf5_3d.f90 This code generates a random 3D array
      and writes it in'
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  - name: Parallel Hdf5
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    language: fortran
    description: 'Program: parallel_hdf5.f90 Program creates a random vector, distributes
      it to'
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  - name: Simple Xy Par Wr
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    language: fortran
    description: 'Program: simple_xy_par_wr.f90 Addapted form the official NetCDF
      package'
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  - name: Simple Xy Par Rd
    file_path: src/User_Codes/Parallel_Computing/Parallel_NetCDF/Example3/simple_xy_par_rd.f90
    language: fortran
    description: This is part of the netCDF package. Copyright 2008 University Corporation
      for Atmospheric Research/Unidata.
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  - name: F90Tst Parallel
    file_path: src/User_Codes/Parallel_Computing/Parallel_NetCDF/Example1/f90tst_parallel.f90
    language: fortran
    description: This is part of the netCDF package. Copyright 2006 University Corporation
      for Atmospheric Research/Unidata.
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  - name: Utils
    file_path: src/User_Codes/Parallel_Computing/PnetCDF/Example2/utils.F90
    language: fortran
    description: Copyright (C) 2015, Northwestern University and Argonne National
      Laboratory See COPYRIGHT notice in top-level directory.
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  - name: Column Wise
    file_path: src/User_Codes/Parallel_Computing/PnetCDF/Example2/column_wise.f90
    language: fortran
    description: Copyright (C) 2012, Northwestern University and Argonne National
      Laboratory See COPYRIGHT notice in top-level directory.
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  - name: Block Cyclic
    file_path: src/User_Codes/Parallel_Computing/PnetCDF/Example3/block_cyclic.f90
    language: fortran
    description: Copyright (C) 2012, Northwestern University and Argonne National
      Laboratory See COPYRIGHT notice in top-level directory.
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  - name: Utils
    file_path: src/User_Codes/Parallel_Computing/PnetCDF/Example3/utils.F90
    language: fortran
    description: Copyright (C) 2015, Northwestern University and Argonne National
      Laboratory See COPYRIGHT notice in top-level directory.
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  - name: Transpose
    file_path: src/User_Codes/Parallel_Computing/PnetCDF/Example1/transpose.f90
    language: fortran
    description: Copyright (C) 2014, Northwestern University See COPYRIGHT notice
      in top-level directory.
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  - name: Utils
    file_path: src/User_Codes/Parallel_Computing/PnetCDF/Example1/utils.F90
    language: fortran
    description: Copyright (C) 2015, Northwestern University and Argonne National
      Laboratory See COPYRIGHT notice in top-level directory.
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  - name: Omp Diag
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    language: fortran
    description: 'Program: omp_diag.f90 Create a random matrix and diagonalize it'
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    slurm_files:
    - /Users/swinney/Projects/doc-fun/src/User_Codes/Parallel_Computing/OpenMP/Example2/run.sbatch
  - name: Planczos2
    file_path: src/User_Codes/Training/Advanced_Cluster_Usage/Exercise5/planczos2.f90
    language: fortran
    description: 'Program: planczos2.f90 Lanczos diagonalization with reorthogonalization'
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    directory: Exercise5
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    slurm_files:
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  - name: External Libs
    file_path: src/User_Codes/Training/Advanced_Cluster_Usage/Exercise5/external_libs.f90
    language: fortran
    description: THIS SUBROUTINE IS A TRANSLATION OF THE ALGOL PROCEDURE TRED2, NUM.
      MATH. 11, 181-195(1968) BY MARTIN, REINSCH, AND WILKINSON.
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    slurm_files:
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  - name: Omp Mem Test
    file_path: src/User_Codes/Training/Advanced_Cluster_Usage/Exercise2/Fortran/omp_mem_test.f90
    language: fortran
    description: 'Module: rng_module Defines the RNGState type for thread-safe random
      number generation'
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    slurm_files:
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  - name: Omp Pi
    file_path: src/User_Codes/Training/Advanced_Cluster_Usage/Exercise3/Fortran/omp_pi.f90
    language: fortran
    description: 'Program: omp_pi.f90 OpenMP implementation of Monte-Carlo algorithm
      for calculating PI'
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  - name: Pi Monte Carlo
    file_path: src/User_Codes/Training/Advanced_Cluster_Usage/Exercise4/pi_monte_carlo.f90
    language: fortran
    description: 'Program: pi_monte_carlo.f90 Calculate PI via parallel Monte-Carlo
      algorithm'
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    slurm_files:
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  - name: Mem Test
    file_path: src/User_Codes/Training/Advanced_Cluster_Usage/Exercise1/Fortran/mem_test.f90
    language: fortran
    description: 'Program: mem_test.f90 Program generates a symetric random matrix
      of dimension 60K'
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    slurm_files:
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  - name: Blas Test
    file_path: src/User_Codes/Libraries/BLAS/blas_test.f90
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    description: Creates a random matrix and a random vector and computes matrix-vector
      multiplication
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    slurm_files:
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  - name: Hdf5 Test
    file_path: src/User_Codes/Libraries/HDF5/hdf5_test.f90
    language: fortran
    description: 'Program: hdf5_test.f90 Create a random vector and write it to a
      HDF5 file'
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  - name: Lapack Test
    file_path: src/User_Codes/Libraries/LAPACK/lapack_test.f90
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    description: LAPACK Test Create a random matrix and diagonalize it
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    directory: LAPACK
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    slurm_files:
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  - name: Openblas Test
    file_path: src/User_Codes/Libraries/OpenBLAS/openblas_test.f90
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    description: 'Program: openblas_test.f90 Program illustrates use of OpenBLAS'
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  - name: Mkltest
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    description: Intel Math Kernel Library Test Create a random matrix and diagonalize
      it
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  - name: Netcdf Test
    file_path: src/User_Codes/Libraries/NETCDF/netcdf_test.f90
    language: fortran
    description: 'Program: netcdf_test.f90 Create a random vector and write it to
      a NC file'
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    slurm_files:
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  - name: Fftw Test
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    language: fortran
    description: 'Program: fftw_test.f90 Perform 1D  transform in Fortran'
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    slurm_files:
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  - name: Sum
    file_path: src/User_Codes/Languages/Fortran/Example2/sum.f90
    language: fortran
    description: 'NAME:    sum.f90 PURPOSE: Computes sum of integers from 1 to 100'
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    slurm_files:
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  - name: Lanczos
    file_path: src/User_Codes/Languages/Fortran/Example1/lanczos.f90
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    description: Standard Lanczos algorithm with re-orthogonalization Serial implementation
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    slurm_files:
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  - name: Lagint
    file_path: src/User_Codes/Numerics/Interp/lagint.f90
    language: fortran
    description: 'FUNCTION LAGINT: Lagrange interpolation xx    -- abscissa at which
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  - name: Interp Test
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    language: fortran
    description: 'Program: interp_test.f90 Example program illustrating Langrange
      interpolation.'
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  - name: Deriv Test
    file_path: src/User_Codes/Numerics/Deriv/deriv_test.f90
    language: fortran
    description: 'Program: deriv_test.f90 Example program calculating the first derivative
      of'
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    directory: Deriv
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  - name: Deriv Tab
    file_path: src/User_Codes/Numerics/Deriv/deriv_tab.f90
    language: fortran
    description: 'Function: deriv_tab.f90 Evaluate first- or second-order derivatives,
      of tabulated function,'
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    directory: Deriv
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  - name: Planczos2
    file_path: src/User_Codes/Courses/AC290/Example5/planczos2.f90
    language: fortran
    description: 'Program: planczos2.f90 Lanczos diagonalization with reorthogonalization'
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  - name: External Libs
    file_path: src/User_Codes/Courses/AC290/Example5/external_libs.f90
    language: fortran
    description: THIS SUBROUTINE IS A TRANSLATION OF THE ALGOL PROCEDURE TRED2, NUM.
      MATH. 11, 181-195(1968) BY MARTIN, REINSCH, AND WILKINSON.
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  - name: Planczos2
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    language: fortran
    description: 'Program: planczos2.f90 Lanczos diagonalization with reorthogonalization'
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  - name: External Libs
    file_path: src/User_Codes/Courses/CS205/MPI_2021/Example5/external_libs.f90
    language: fortran
    description: THIS SUBROUTINE IS A TRANSLATION OF THE ALGOL PROCEDURE TRED2, NUM.
      MATH. 11, 181-195(1968) BY MARTIN, REINSCH, AND WILKINSON.
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  makefile:
  - name: Makefile
    file_path: src/User_Codes/Parallel_Computing/ScaLAPACK/Makefile
    language: makefile
    description: Code example
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    description: Code example
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    description: Code example
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    description: Code example
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  fortranfixed:
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    description: Code example
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  cpp:
  - name: Mpitest
    file_path: src/User_Codes/Parallel_Computing/MPI/mpitest.cpp
    language: cpp
    description: 'C++ MPI example: mpitest.cpp'
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  c:
  - name: Mpitest
    file_path: src/User_Codes/Parallel_Computing/MPI/mpitest.c
    language: c
    description: 'C MPI example: mpitest.c'
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  - name: Omp Pi
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    description: Code example
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    slurm_files:
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  - name: Omp Hello
    file_path: src/User_Codes/Parallel_Computing/OpenMP/Example1/omp_hello.c
    language: c
    description: Parallel region starts here............................ Get thread
      ID........................................
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  - name: Omp Mem Test
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    description: include <stdio.h> include <stdlib.h>
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  - name: Mem Test
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    description: Code example
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  - name: Gsl Int Test
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    description: Code example
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  - name: Sum
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  - name: Mmult
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  - name: Prime Mpi
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    description: include <math.h> include <mpi.h>
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  - name: Communicator Mpi
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    description: include <stdlib.h> include <stdio.h>
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  - name: Poisson Mpi
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    description: include <math.h> include <mpi.h>
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  - name: Mmult
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    description: Code example
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  - name: Mpi Hello World
    file_path: src/User_Codes/Courses/CS205/MPI/Example1/mpi_hello_world.c
    language: c
    description: 'Author: Wes Kendall Copyright 2011 www.mpitutorial.com'
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  - name: Mmult
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    description: Code example
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  - name: Omp Loop
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    description: Code example
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  - name: Omp Dot2
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    language: c
    description: Function dotprod.........................................
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  - name: Omp Dot
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    language: c
    description: Code example
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  - name: Omp Sections
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    description: Code example
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  - name: Omp Md
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    description: include <stdlib.h> include <stdio.h>
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  - name: Omp Pi
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    description: Code example
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  - name: Omp Hello
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    language: c
    description: Parallel region starts here............................ Get thread
      ID........................................
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  - name: Omp Helmholtz
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    description: include <stdlib.h> include <stdio.h>
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  - name: Omp Poisson
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    description: include <stdlib.h> include <stdio.h>
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  python:
  - name: Optimize Mpi
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    description: '!/usr/bin/env python3 Function to minimize'
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  - name: Multiprocessing Basic
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    description: Create 3 processes
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    description: 'In order to use multiple cores/CPUs, need to request a compute node
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    description: '!/usr/bin/env python'
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  - name: Speedup
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    description: Code example
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    description: Compute speedup and parallel efficiency
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  - name: Numpy Pandas Ex
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  - name: '  Init  '
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  bash:
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    description: Code example
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  - name: Run
    file_path: src/User_Codes/Parallel_Computing/R/Large_Data_Processing_R/parallel_computation/R/run.sh
    language: bash
    description: SBATCH -J mpi SBATCH -o %j_job.out
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  rconsole:
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    description: Code example
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    description: 'https://helloacm.com/r-programming-tutorial-how-to-compute-pi-using-monte-carlo-in-r/
      pi : http://www.geom.uiuc.edu/~huberty/math5337/groupe/digits.html'
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    slurm_files:
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    - /Users/swinney/Projects/doc-fun/src/User_Codes/Parallel_Computing/R/future/run_hybrid.sbatch
  cheetah:
  - name: Future Slurm
    file_path: src/User_Codes/Parallel_Computing/R/future/future_slurm.tmpl
    language: cheetah
    description: 'SBATCH --job-name <%= resources$job_name %>       ## Name of the
      job SBATCH --ntasks-per-node <%= resources$n_cpu %>   ## number of processes
      per node'
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    directory: future
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    slurm_files:
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    - /Users/swinney/Projects/doc-fun/src/User_Codes/Parallel_Computing/R/future/run_hybrid.sbatch
  objective-c:
  - name: Parallel Pi
    file_path: src/User_Codes/Parallel_Computing/Mathematica/parallel_pi.m
    language: objective-c
    description: Code example
    file_hash: 10056335f140609e039306f31ad1000326045909c75a8b2f4bd475b2d407993e
    last_modified: 1753385872.1125069
    file_size: 798
    directory: Mathematica
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    slurm_files:
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  - name: Thread Test
    file_path: src/User_Codes/Parallel_Computing/MATLAB/Example2/thread_test.m
    language: objective-c
    description: 'Program: thread_test.m Multithreading test'
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    directory: Example2
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    slurm_files:
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  - name: Prun
    file_path: src/User_Codes/Parallel_Computing/MATLAB/Example3/prun.m
    language: objective-c
    description: 'Program: prun.m Purpose: Parallel driver for se_fdm.m'
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    directory: Example3
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  - name: Simpson1D
    file_path: src/User_Codes/Parallel_Computing/MATLAB/Example3/simpson1d.m
    language: objective-c
    description: 'Function: simpson1d.m Purpose: 1D integration - Simpson''s 1/3 rule'
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  - name: Se Fdm
    file_path: src/User_Codes/Parallel_Computing/MATLAB/Example3/se_fdm.m
    language: objective-c
    description: 'Program: se_fdm.m Purpose: Solutions to 1D time independent Schrodinger
      Equation'
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    directory: Example3
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    slurm_files:
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  - name: Parallel Monte Carlo
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    language: objective-c
    description: Parallel Monte Carlo calculation of PI Compute the X and Y coordinates
      of where the dart hit the...............
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    last_modified: 1753385872.107157
    file_size: 1004
    directory: Example1
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    slurm_files:
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  nesc:
  - name: Simple Xy Par
    file_path: src/User_Codes/Parallel_Computing/Parallel_NetCDF/Example3/simple_xy_par.nc
    language: nesc
    description: Code example
    file_hash: d6b958edd4e874947d86a43ddbfbdbad8de3b45e5f0caf78e9220e47dab2e292
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    directory: Example3
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    slurm_files:
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code_examples_metadata:
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  total_examples: 100
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  - c
  - python
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