CMSLPC

The CMSLPC server options as displayed on the JupyterHub. The first option is the SL7 Interactive, the second option is COFFEA-DASK SL7 Interactive, the third option is GPU SL7 Interactive (NVIDIA Ampere A100), and the fourth option is GPU SL7 Interactive (NVIDIA Ampere A100) [20GB GPU].

Each server opton inherits the packages from the image it was based on. The inheritence is shown in the diagram in EAF Structure and Packages.

SL7 Interactive

Image: cmslpc-notebook

Packages

make

cmake3

gcc-c++

voms-client

HTCondor

gcc

osg-wn-client

xrootd-client

eos-client

eos-xrootd

COFFEA-DASK SL7 Interactive

Image: cmslpc-coffea-dask

Packages

conda-build

ipymp

aiohttp

click

dask

distributed

pyyaml

tornado

numpy

dask-gateway

scikit-hep-testdata

iminuit

uproot

ipywidgets

traitlets

dask-labextension

ca-policy-lcg

cmake

xrootd

mplhep

dask-jobqueue

coffea

vector

xgboost

hist

python-rapidjson

lz4

pytables

pyhf

brotli

geventhttpclient

grpcio

funcx

python-xhash

fastjet

servicex-databinder

zstandard

tritonclient

aiostream

cabinetry

func-adl-servicex

protobuf

tflite_runtime

tenacity

HTCondor

func-adl-uproot

onnxruntime

htcdaskgateway

correctionlib

tcut-to-qastle

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

Image: cmslpc-notebook (GPU)

Packages

cudatoolkit

cudnn

pytorch

mpi4py

awkward-cuda-kernals

tensorflow-gpu

nccl

bokeh

tqdm

nsight-systems

cython

akward

h5py

ipympl

nvcc

matplotlib-base

scikit-image

scikit-learn

scipy

sympy

tensorboard-pro

cupy

CVMFS

cms.cern.ch

oasis.opensciencegrid.org

cms-lpc.opensciencegrid.org

unpacked.cern.ch

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).