A Dinesh dineshadepu

Installing and Running MFEM using Spack

This guide documents how to install and run the MFEM examples using Spack.

Tested on MacOS (Apple Silicon) with MPI.

1. Install Spack

PySPH installation

conda create -n pysph_new -c conda-forge python=3.12
conda activate pysph_new
pip install --upgrade pip setuptools wheel

pip install https://github.com/pypr/compyle/zipball/master
pip install https://github.com/pypr/cyarray/zipball/master
pip install h5py

To effectively learn Neural Networks, it’s best to build your understanding step-by-step, starting from foundational concepts in math and programming, and progressing through machine learning. Here's a clear learning path:

🔹 1. Prerequisites

Mathematics:

Linear Algebra – Vectors, matrices, matrix multiplication
Calculus – Derivatives, gradients (for backpropagation)
Probability & Statistics – Basics of distributions, expectation, Bayes’ theorem

Trilinos installation

mkdir trilinos
cd trilinos/
git clone -c feature.manyFiles=true --depth=2 https://github.com/spack/spack.git

Then source the spack

source spack/share/spack/setup-env.sh

Install pysph

pip install 'cython<3'
pip install 'numpy==1.23'
pip install h5py
pip install https://github.com/pypr/pysph/zipball/master

	# state file generated using paraview version 5.13.0
	import glob
	import re

	import paraview
	paraview.compatibility.major = 5
	paraview.compatibility.minor = 13

	#### import the simple module from the paraview
	from paraview.simple import *

	#!/usr/bin/env bash
	set -euo pipefail

	# ── ParaView (Linux custom install) ──────────────────────────
	PARAVIEW_DIR="/home/dineshadepu/life/softwares/paraview"
	export LD_LIBRARY_PATH="${PARAVIEW_DIR}/lib${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}"
	PVPYTHON="${PARAVIEW_DIR}/bin/pvpython"

	# ── Paths ────────────────────────────────────────────────────
	SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"

	use rayon::prelude::*;

	pub struct Particles {
	/// Total number of particles in the simulation.
	pub n: usize,
	pub x: Vec<f64>,
	pub u: Vec<f64>,
	pub f: Vec<f64>,

	/// Mass of particles.


	# User specific environment
	if ! [[ "$PATH" =~ "$HOME/.local/bin:$HOME/bin:" ]]; then
	PATH="$HOME/.local/bin:$HOME/bin:$PATH"
	fi
	export PATH

	# Uncomment the following line if you don't like systemctl's auto-paging feature:
	# export SYSTEMD_PAGER=

	/*

	*****************************************************
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	* O O O O O O O O O O O O O O O O O O O O O O O *
	* O O O O O O O O O O O O O O O O O O O O O O O *
	* O O O O O O O O O O O O O O O O O O O O O O O *
	* O O O O O O O O O O O O O O O O O O O O O O O *
	* O O O O O O O O O O O O O O O O O O O O O O O *