LBNF/DUNE/ProtoDUNE

The LBNF/DUNE/ProtoDUNE server options as displayed on the JupyterHub. The first option is the SL7 Interactive General Purpose Notebook, the second option is the GPU SL7 Interactive (NVIDIA Ampere A100) and the third is the GPU SL7 Interactive (NVIDIA Ampere A100) [20GB GPU].

SL7 Interactive General Purpose Notebook

Image: dune-notebook

Packages

yum-plugin-priorities

redhat-lsb-core

cmake3

libcurl-devel

perl-Digest-MD5

libX11-devel

nss_wrapper

gettext

gl2ps-devel

gcc

osg-wn-client

xrootd-client

voms

subversion

voms-clients-cpp

xrootd-client-libs

perl-DBD-SQLite

libtool

ftgl-devel

gdbm-devel

perl-ExtUtils-MakeMaker

glew-devel

xz-devel

pcre2-devel

readline-devel

libjpeg-turbo-devel

bzip2-devel

asciidoc

libzstd-devel

texinfo

mesa-libGL-devel

ncurses-devel

xmlto

libffi-devel

xxhash-devel

libAfterImage-devel

gcc-c++

automake

libXi-devel

libXt-devel

mesa-libGLU-devel

tk-devel

swig

lz4-devel

perl-Digest-SHA

glibc-devel.i686

libstdc++.i686

xxhash

autoconf

tcl-devel

giflib-devel

perl-Digest

HTCondor

binutils

zstd

libXmu-devel

libgcc.i686

GPU SL7 Interactive (NVIDIA Ampere A100) and GPU SL7 Interactive (NVIDIA Ampere A100) [20GB GPU]

Image: dune-notebook (GPU)

Packages

jupyterlab-tensorboard-pro

torchvision

cudatoolkit

cudnn

yum-utils

matplotlib-base

nccl

tqdm

bokeh

pytorch

tensorflow-gpu

nvcc

cython

h5py

sympy

scikit-learn

ipywidgets

mpi4py

numba

scipy

numexpr

numpy

pandas

pytz

ipympl

scikit-image

CVMFS

oasis.opensciencegrid.org

fermilab.opensciencegrid.org

dune.opensciencegrid.org

larsoft.opensciencegrid.org.

For more detailed information regarding packages, see the diagram in EAF Structure and Packages. To look at different image classes, toggle the layers in the interactive diagram (e.g. toggle “Background” to view the base notebook image).