IgorBaratta

cmake_minimum_required(VERSION 3.18)

set(PROJECT_NAME test_scalar)
project(${PROJECT_NAME} LANGUAGES C CXX)

# Set C++20 standard
set(CMAKE_CXX_STANDARD 20)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(CMAKE_CXX_EXTENSIONS OFF)

IgorBaratta

from mpi4py import MPI
import basix
from dolfinx import fem
import dolfinx
import ufl
import numpy as np
from numba import cuda

IgorBaratta

# Copyright (C) 2023 Igor A. Baratta
# SPDX-License-Identifier:    MIT

from functools import partial

import dolfinx
import numpy as np
import scipy.sparse
from dolfinx.fem import Function, FunctionSpace
from dolfinx.io import XDMFFile, gmshio

IgorBaratta

cmake_minimum_required(VERSION 3.18)

set(PROJECT_NAME BMcublas)
project(${PROJECT_NAME})

include(CheckLanguage)
check_language(CUDA CXX)
enable_language(CUDA CXX)

# Set C++ standard

IgorBaratta

#include <oneapi/dpl/algorithm>
#include <oneapi/dpl/execution>

#include <CL/sycl.hpp>
#include <vector>

int main(int argc, char *argv[])
{
    std::size_t n = 100'000'000;
    int nrep = 10;

IgorBaratta

Install Instructions

Clone spack:

git clone https://github.com/spack/spack.git

Selecting Modules

#!/bin/bash

IgorBaratta

#!/bin/bash

module purge
module load gcc/9
module load intel/impi/2020.2/gnu
module load intel/mkl/2020.2
module load cmake
module load slurm
source spack/share/spack/setup-env.sh

IgorBaratta

from IPython import embed
from mpi4py import MPI
import dolfinx
import numpy
from pyvista.plotting.helpers import plot
import ufl
from dolfinx.io import XDMFFile
import dolfinx.plot
import pyvista
bc = 1

IgorBaratta

Interface to KaHIP partitioner

This blog post provides an overview of the work done for the Google Summer of Code 2019.

The main goal of this project is to add the KaHIP partitioner to DOLFIN's graph wrappers and mesh partitioning, and investigate whether the expected improvements obtained by KaHIP for mesh partitioning would reflect on the Dolfin's parallel toolchain. This is related to Issue #116.

A second goal of this project is to add support for partitioning using a subset of processors. As currently implemented in DOLFIN-X, the mesh partitioners use all the available MPI processes to perform partition. Numerical experiments show that at scale, this can demand high memory usage (partitioning packages depends on the number of processes). Also, the running time increases significantly with the number of processes for a fixed size local mesh/graph per-processor.This is related to Issue #9.

In the following

IgorBaratta

#!/bin/sh

# Shell Script to configure the CSD3 enviroments for running Dolfin
# This script assumes that dolfinx is already installed.

# Set SPACK root directories
SPACK_ROOT=/home/hpcbara1/src/spack

# Reset module enviroment and load only slurm and the compiler
module purge