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shifter
Shifter - Linux Containers for HPCtimemory
Modular C++ Toolkit for Performance Analysis and Logging. Profiling API and Tools for C, C++, CUDA, Fortran, and Python. The C++ template API is essentially a framework to creating tools: it is designed to provide a unifying interface for recording various performance measurements alongside data logging and interfaces to other tools.jupyterlab-slurm
slurm-magic
IPython magic for SLURM.slurm-ray-cluster
dl4sci-tf-tutorials
Official TensorFlow 2.0 tutorial notebooks for the Deep Learning for Science School at LBNLsc22-dl-tutorial
Material for the SC22 Deep Learning at Scale Tutorialsc23-dl-tutorial
SC23 Deep Learning at Scale Tutorial Materialpytorch-examples
PyTorch examples for NERSC systemsShifter-Tutorial
Collection of tutorials for using Shifter to bring containers to HPCsc21-dl-tutorial
Material for the SC21 Deep Learning at Scale Tutorialsshspawner
Spawn JupyterHub single-user servers with sshdata-seminars
pytokio
[READ ONLY] Refer to gitlab repo for updated version - Total Knowledge of I/O Reference Implementation. Please see wiki for contribution guidelines.sc20-dl-tutorial
CosmoFlow
timemory-tutorials
Tutorials for Timemoryitt-python
Includes Python bindings to instrumentation and tracing technology (ITT) APIs for VTunesc19-dl-tutorial
Hands-on material for the SC19 tutorial, Deep Learning at Scalejupyterlab-recents
A JupyterLab extension that tracks recent files and directories.openmp-series-2024
OpenMP Training Series, May to October 2024jupyterlab-favorites
Add the ability to save favorite folders to JupyterLab for quicker browsingintro-HPC-bootcamp-2023
nersc-dl-multigpu
single-GPU to multi-GPU training of PyTorch apps at NERSCjupyterhub-deploy
Docker Deployment of NERSC Jupyterhub (including auth and spawner modules)crash-course-supercomputing
sc18-dl-tutorial
Keras tutorial code for the SC18 tutorial on Deep Learning at Scalesfapi_client
Python client for SF API2016-11-14-sc16-Container-Tutorial
Tutorial contents for SC16 on November 14, 2016dl4sci-scaling-tutorial
Deep Learning Scaling tutorial material for the Deep Learning for Science School at Berkeley Labspack-infrastructure
cori-tf-distributed-examples
Scripts/Benchmarks for Running Tensorflow Distributed on CoriMiniDFT
MiniDFT is a minimalist version of Quantum ESPRESSO that performs only LDA total energy and gradient calculations. The purpose of miniDFT is to explore new parallelization schemes, programming languages, programming models and computer architectures, and evaluate their suitability for plane-wave DFT calculations. These types of experiments will be more easily done with MiniDFT than with QE, because the current version of MiniDFT is significantly smaller than QE.nersc-dl-wandb
Guidelines on using Weights and Biases logging for deep learning applications on NERSC machinesbuildtest-nersc
ml-pm-training-2022
ML Perlmutter User Traininghpcpp
train
resources for user training exercisesDL-Parallel-IO
Scalable Data Pipeline and Parallel IO in Deep Learning Frameworkobject-store
Evaluating object stores with HPC science applicationsc2d
c2d utility to take Conda environments and Jupyter notebooks from Cori to a local Docker image.sshproxy
NERSC SSH Proxy Servicegsiauthenticator
gpu-for-science-day-july-2019
Hacking Competition Code for NERSC's GPU for Science Day, July 2019nccl-ofi-plugin
Repository for building the NCCL OFI plugin from AWS and NVIDIAisc19-dl-tutorial
CompactCori
Setup and simulation scripts for CompactCorihep_cnn_benchmark
TensorFlow Benchmark for the HEP Deep Learning CNN Modeldata-day-2022
Demo code for the NERSC Data Day 2022 training event.instrumentation-benchmark
Performance analysis tests for performance analysis toolsecp-container-tutorial
Material for the ECP Tutorial on Containersjupyterlab-cpustatus
Show CPU usage in JupyterLab statusbarbase-images
Base Docker Imagesspin-docker-compose-example
clonenotebooks
An extension to NBViewer for cloning notebooks to a local directorylustre-design-analysis
Data and analysis demonstrating how to quantitatively design a Lustre file systemnew-user-training-notebooks
Some notebook demos from the new user trainingnersc-ml-images
Contains Dockefiles for NERSC ML imagessshapiauthenticator
Custom Jupyter Authenticator that works against NERSC's SSH Auth API servicetf-perf-kernels
This repository contains scripts calling kernels for TensorFlow along with profiling scripts for Cori-GPU.heterogeneous-IO
Understanding the IO Performance on KNL and Haswellsmwflow
Tools for applying gitflow to Cray systems managementspin-recipes
Repository of Spin Recipeschos
CHOS: The CHroot OS that lets users choose their OS.slurm-helpers
handy bash and python snippets for interacting with Slurm at NERSCjupyterhub-entrypoint
JupyterHub Entrypoint Service. Registry that maintains custom entrypoint settings through a REST API.cmake-helpers
Tips and utilities for using Cmake in a projectPerlmutter_Training_Jan2022
Training material for Perlmutter User Training 2022mlperf-prof
Common set of utilities for MLPerf-HPC profilingcustoms
Inspect and report Python packages of interestexample-jupyter-notebooks
General example notebooks for Jupyter at NERSCMigrate-to-Perlmutter
nersc-tensorboard-helper
Scripts to help run tensorboard at NERSCBB-unit-tests
A suite of unit tests for the Burst Buffergiveandtake
Give and Take Command at NERSCQENESAP
nersc-nvidia-ai4sci
NERSC / NVIDIA AI for Science Bootcamppam_mfa
PAM module to enable opt-in MFAHadoop-on-Demand
Scripts for running Hadoop on demand on NERSC systems.sc22-canopie-hpc-benchmarks
variable-time-job
cug19-da-tutorial
This repo hosts the Data Analytics Tutorial for CUG 2019dayabay-learn
Learning to Extract Features from the Daya Bay Reactor Neutrino ExperimentSMWG-reference-arch
A reference architecture for monitoring of Cray supercomputersswin_v2_weather
This repository contains the SwinV2_Weather model, developed for the "Analyzing and Exploring Training Recipes for Large-Scale Transformer-Based Weather Prediction" paper. The repo includes training scripts, pre-processing utilities, and model configuration files.nersc-refresh-announcements
JupyterLab Extension that fetches and displays announcements to the user from an external API.qpredict
Predicting queue wait times for batch jobs on NERSC systemsnersc-latex-presentation
NERSC-themed LaTeX beamer presentation templatejupyterlab_resuse
Proof of concept for NERSCtokio-abcutils
Tools and methods to analyze TOKIO-ABC resultsshifter-tools
A collection of scripts for Shifter @ NERSCnersc-tf-tests
cray-bdc-deeplearning
Repository of examples for the NERSC-CRAY Big Data Center collaborationinference_benchmarks
community-software
dayabay-data-conversion
Converting Daya Bay ROOT file data to HDF5ipypathchooser
An ipywidget for choosing a path (file or directory) interactivelyFLAC-HDF5-plugin
A third party FLAC filter for HDF5rstudio-deploy
NERSC's R Studio docker deploymentecp19-dl-tutorial
Material for the Deep Learning tutorial at the 2019 ECP All-Hands MeetingLove Open Source and this site? Check out how you can help us