Klaus Steiniger steindev

Install picongpu conda environment and activate it
Install clion sudo snap install clion --classic
Start clion, choose 'Open' and set Toolchain:
- CMake: .../miniconda3/envs/picongpu/bin/cmake
- Build Tool: .../miniconda3/envs/picongpu/bin/make
- C Compiler: .../miniconda3/envs/picongpu/bin/x86_64-conda-linux-gnu-cc
- C++ Compiler: .../miniconda3/envs/picongpu/bin/x86_64-conda-linux-gnu-c++
CMake Setting:
- CMake options: -DCMAKE_CXX_FLAGS=-g -DCMAKE_INSTALL_PREFIX=. -DPIC_EXTENSION_PATH=/home/.../src/picongpu/share/picongpu/examples/LaserWakefield -Dalpaka_ACC_CPU_B_OMP2_T_SEQ_ENABLE=ON -DPMACC_ASYNC_QUEUES=OFF -DPMACC_CPU_ARCH="native"

	## Install a kernel for the picongpu analysis environment
	##
	## Before runnign this script, see JSC documentation at
	## (https://jupyterjsc.pages.jsc.fz-juelich.de/docs/jupyterjsc/users/jupyterlab/4.3/kernels_hpc_conda/)
	##
	## The steps performed here are only the last ones after installing an own conda environment.
	## For installing a suitable conda environment see
	## (https://gist.github.com/steindev/c1d678375fd0f974f4b9cb1480b3da03)
	##

	## Installing the environment
	# 0. Clean your environment
	# ```
	# module --force purge
	# ```
	#
	# 1. Download and install Miniforge, see (https://github.com/conda-forge/miniforge?tab=readme-ov-file#install)
	# ```
	# curl -L -O "https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-$(uname)-$(uname -m).sh"
	# bash Miniforge3-$(uname)-$(uname -m).sh

	#!/usr/bin/env bash
	#
	# Authors: Axel Huebl, Marco Garten, Klaus Steiniger
	#
	# last updated: 2022-03-02

	PIC_BRANCH="dev"

	# get PIConGPU profile
	if [ ! -f "$PIC_PROFILE" ]; then

	#!/bin/bash
	#
	# Script to transfer data from Juelich Supercomputing Center to HZDR.
	# Call with
	# > screen # open a screen session first to be able to logout from the
	# # data mover system
	# > exec ssh-agent bash # prepare shell to add ssh key passphrase to ssh-agent
	# # in order to not type it all the time
	# > ssh-add ~/.ssh/id_ed25519 # add ssh key passphrase to ssh-agent
	# > xargs -a dirs.list -n 1 -P 5 ~/bin/data-transfer_judac.sh \| tee transfer.out

	#!/usr/bin/env bash
	#
	# Authors: Axel Huebl, Marco Garten, Klaus Steiniger
	#
	# last updated: 2021-08-18

	# It is advisable to compile libraries on an interactive node
	# > srun -p gpu2-interactive --gres=gpu:0 --ntasks=1 --pty --mem=8G -t 2:00:00 bash # get resources on a node
	# > ./PIConGPU_0.6.0-dev_taurus-tud.sh \| tee lib_inst.out 2>lib_inst.err # compile libraries

	# See https://github.com/ComputationalRadiationPhysics/picongpu/issues/3530
	# and https://github.com/ComputationalRadiationPhysics/picongpu/issues/3506

	TBG_ADIOS2_configuration="'{ \
	\"adios2\": { \
	\"dataset\": { \
	\"operators\": [ { \
	\"type\": \"blosc\" \
	, \"parameters\": { \
	\"clevel\": \"1\" \

	#!/usr/bin/env bash
	#
	# Authors: Axel Huebl, Marco Garten, Klaus Steiniger
	#
	# last updated: 2021-05-26

	PIC_BRANCH="dev"

	# get PIConGPU profile
	if [ ! -f "$PIC_PROFILE" ]; then

	#!/usr/bin/env bash
	#
	# Authors: Axel Huebl, Marco Garten, Klaus Steiniger, Anton Lebedev
	#
	# last updated: 2022-06-13

	PIC_BRANCH="dev"

	# get PIConGPU profile
	if [ ! -f "$PIC_PROFILE" ]; then

	#!/usr/bin/env bash
	#
	# Authors: Axel Huebl, Marco Garten, Klaus Steiniger
	#
	# last updated: 2019-04-24

	PIC_BRANCH="dev"

	# get PIConGPU profile
	if [ ! -f "$PIC_PROFILE" ]; then