Repository for training material for the 2022 SDSC HPC/CI User Training Course

Overview

hpc-training-2022

Repository for training material for the 2022 SDSC HPC/CI Training Series

HPC/CI Training Series home

https://www.sdsc.edu/event_items/202201_HPC-CI-Training-Series.html

Content:

Session 1 (01/14/22 – 03/04/22):

Agenda: Learn about tools and computing concepts necessary for HPC and CI systems

WEEK DATE TOPIC MATERIAL INSTRUCTOR
Week 01 Fri, 01/14/22 Program Orientation, history, plan,
Registration process & accounts
Interactive Video
YouTube
Mary Thomas
Week 02 Fri, 01/21/22 Parallel Computing Concepts
HPC overview & Expanse Architecture
Interactive Video
YouTube
Bob Sinkovits
Week 03 Fri, 01/28/22 Data Management
Job Submission - Queues and batch scripting
Interactive Video
YouTube
Mahidhar Tatineni,
Mary Thomas
Week 04 Fri, 02/04/22 Introduction to Singularity Containers Interactive Video
YouTube
Marty Kandes
Week 05 Fri, 02/11/22 Introduction to Software Containers and Kubernetes Interactive Video
YouTube
Jeffrey Weekly
Week 06 Fri, 02/18/22 Running Secure Jupyter Notebooks on HPC Systems Interactive Computing Interactive Video
YouTube
Mary Thomas
Week 07 Fri, 02/25/22 Introduction to Neural Networks, Convolution Neural Networks, and Deep Learning,
Introduction to Using TensorFlow and PyTorch on Expanse
Interactive Video
YouTube
Paul Rodriguez,
Mahidhar Tatineni
Week 08 Fri, 03/4/22 Oracle Cloud Overview
Azure Overview
Cloud Computing on JetStream
Interactive Video
YouTube
Santosh Bhatt,
Paul Yu,
Marty Kandes

[ Back to Session 1 ] [ Back to Top ]

Session 2: (03/28/22 - 05/06/22)

Agenda: Learn about tools and computing concepts necessary for HPC and CI systems

WEEK DATE TOPIC MATERIAL INSTRUCTOR
Week 09 Fri, 04/1/22 Visualization using Jupyter Notebooks Interactive Video
YouTube
Bob Sinkovits
Week 10 Fri, 04/8/22 CPU Computing: Introduction to OpenMP/Threads Interactive Video
YouTube
Marty Kandes
Week 11 Fri, 04/15/22 CPU Computing: Introduction to MPI Interactive Video
YouTube
Mahidhar Tatineni
Week 12 Fri, 04/22/22 CPU profiling with gprof and uProf Interactive Video
YouTube
Bob Sinkovits
Week 13 Fri, 04/29/22 Introduction to GPU computing
Programming and profiling with CUDA, OpenACC, and NSight
Interactive Video
YouTube
Andreas Goetz
Mahidhar Tatineni
Week 14 Fri, 05/06/22 GPU Computing with Python (Numba, CuPy, and RAPIDS) YouTube Kristopher Keipert (NVIDIA)
Zoe Ryan (NVIDIA)

[ Back to Session 2 ] [ Back to Top ]


## Instructors
NAME TITLE ORG
Santosh Bhatt Principal Enterprise Cloud Architect, Oracle (website) Oracle
Andy Goetz Director - Computational Chemistry Laboratory (website) SDSC
Kristopher Keipert Senior Solutions Architect (website) NVIDA
Marty Kandes Computational and Data Science Research Specialist (website) SDSC
Paul Rodriguez Research Programmer (website) SDSC
Zoe Ryan Solutions Architect (website) NVIDA
Bob Sinkovits Director for Scientific Computing Applications (website) SDSC
Mahidhar Tatineni Director of User Services (website) SDSC
Mary Thomas Computational Data Scientist, Lead - HPC Training (website) SDSC
Jeffrey Weekly Research IT Engagement and Support Manager bio University of California Santa Cruz
Cindy Wong Events Specialist SDSC
Nicole Wolter Computational and Data Science Research Specialist (website) SDSC
Paul Yu Sr. Cloud Solutions Architect bio Microsoft

[ Back to Top ]

Owner
sdsc-hpc-training-org
An organization for managing the various sdsc hpc education repos
sdsc-hpc-training-org
NAACL2021 - COIL Contextualized Lexical Retriever

COIL Repo for our NAACL paper, COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List. The code covers learning

Luyu Gao 108 Dec 31, 2022
Generating Band-Limited Adversarial Surfaces Using Neural Networks

Generating Band-Limited Adversarial Surfaces Using Neural Networks This is the official repository of the technical report that was published on arXiv

3 Jul 26, 2022
✨✨✨An awesome open source toolbox for stereo matching.

OpenStereo This is an awesome open source toolbox for stereo matching. Supported Methods: BM SGM(T-PAMI'07) GCNet(ICCV'17) PSMNet(CVPR'18) StereoNet(E

Wang Qingyu 6 Nov 04, 2022
Sequential model-based optimization with a `scipy.optimize` interface

Scikit-Optimize Scikit-Optimize, or skopt, is a simple and efficient library to minimize (very) expensive and noisy black-box functions. It implements

Scikit-Optimize 2.5k Jan 04, 2023
Simple implementation of Mobile-Former on Pytorch

Simple-implementation-of-Mobile-Former At present, only the model but no trained. There may be some bug in the code, and some details may be different

Acheung 103 Dec 31, 2022
Liecasadi - liecasadi implements Lie groups operation written in CasADi

liecasadi liecasadi implements Lie groups operation written in CasADi, mainly di

Artificial and Mechanical Intelligence 14 Nov 05, 2022
Redash reset for python

redash-reset This will use a default REDASH_SECRET_KEY key of c292a0a3aa32397cdb050e233733900f this allows you to reset the password of the user ID bu

Robert Wiggins 5 Nov 14, 2022
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)

MetaShift: A Dataset of Datasets for Evaluating Distribution Shifts and Training Conflicts This repo provides the PyTorch source code of our paper: Me

88 Jan 04, 2023
Official implementation of "Articulation Aware Canonical Surface Mapping"

Articulation-Aware Canonical Surface Mapping Nilesh Kulkarni, Abhinav Gupta, David F. Fouhey, Shubham Tulsiani Paper Project Page Requirements Python

Nilesh Kulkarni 56 Dec 16, 2022
CTRL-C: Camera calibration TRansformer with Line-Classification

CTRL-C: Camera calibration TRansformer with Line-Classification This repository contains the official code and pretrained models for CTRL-C (Camera ca

57 Nov 14, 2022
3D detection and tracking viewer (visualization) for kitti & waymo dataset

3D detection and tracking viewer (visualization) for kitti & waymo dataset

222 Jan 08, 2023
A python package for generating, analyzing and visualizing building shadows

pybdshadow Introduction pybdshadow is a python package for generating, analyzing and visualizing building shadows from large scale building geographic

Qing Yu 13 Nov 30, 2022
Official PyTorch implementation of Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations Zhenyu Jiang, Yifeng Zhu, Maxwell Svetlik, Kuan Fang, Yu

UT-Austin Robot Perception and Learning Lab 63 Jan 03, 2023
The source code of the paper "SHGNN: Structure-Aware Heterogeneous Graph Neural Network"

SHGNN: Structure-Aware Heterogeneous Graph Neural Network The source code and dataset of the paper: SHGNN: Structure-Aware Heterogeneous Graph Neural

Wentao Xu 7 Nov 13, 2022
A toolkit for making real world machine learning and data analysis applications in C++

dlib C++ library Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real worl

Davis E. King 11.6k Jan 01, 2023
GNPy: Optical Route Planning and DWDM Network Optimization

GNPy is an open-source, community-developed library for building route planning and optimization tools in real-world mesh optical networks

Telecom Infra Project 140 Dec 19, 2022
Galaxy images labelled by morphology (shape). Aimed at ML development and teaching

Galaxy images labelled by morphology (shape). Aimed at ML debugging and teaching.

Mike Walmsley 14 Nov 28, 2022
Companion code for the paper "An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence" (NeurIPS 2021)

ReLU-GP Residual (RGPR) This repository contains code for reproducing the following NeurIPS 2021 paper: @inproceedings{kristiadi2021infinite, title=

Agustinus Kristiadi 4 Dec 26, 2021
A curated list of neural network pruning resources.

A curated list of neural network pruning and related resources. Inspired by awesome-deep-vision, awesome-adversarial-machine-learning, awesome-deep-learning-papers and Awesome-NAS.

Yang He 1.7k Jan 09, 2023
Plenoxels: Radiance Fields without Neural Networks, Code release WIP

Plenoxels: Radiance Fields without Neural Networks Alex Yu*, Sara Fridovich-Keil*, Matthew Tancik, Qinhong Chen, Benjamin Recht, Angjoo Kanazawa UC Be

Alex Yu 2.3k Dec 30, 2022