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

Related tags

Deep Learninghpc-training-2022
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
GitHub Repository
PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

Anomaly Transformer in PyTorch This is an implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy. This pape

spencerbraun 160 Dec 19, 2022
[CVPR 2021] Forecasting the panoptic segmentation of future video frames

Panoptic Segmentation Forecasting Colin Graber, Grace Tsai, Michael Firman, Gabriel Brostow, Alexander Schwing - CVPR 2021 [Link to paper] We propose

Niantic Labs 44 Nov 29, 2022
This is a repo of basic Machine Learning!

Basic Machine Learning This repository contains a topic-wise curated list of Machine Learning and Deep Learning tutorials, articles and other resource

Ekram Asif 53 Dec 31, 2022
ICON: Implicit Clothed humans Obtained from Normals

ICON: Implicit Clothed humans Obtained from Normals arXiv, December 2021. Yuliang Xiu · Jinlong Yang · Dimitrios Tzionas · Michael J. Black Table of C

Yuliang Xiu 1.1k Dec 30, 2022
Jarvis Project is a basic virtual assistant that uses TensorFlow for learning.

Jarvis_proyect Jarvis Project is a basic virtual assistant that uses TensorFlow for learning. Latest version 0.1 Features: Good morning protocol Tell

Anze Kovac 3 Aug 31, 2022
The end-to-end platform for building voice products at scale

Picovoice Made in Vancouver, Canada by Picovoice Picovoice is the end-to-end platform for building voice products on your terms. Unlike Alexa and Goog

Picovoice 318 Jan 07, 2023
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

Octavio Arriaga 5.3k Dec 30, 2022
Wordle Env: A Daily Word Environment for Reinforcement Learning

Wordle Env: A Daily Word Environment for Reinforcement Learning Setup Steps: git pull [email&#

2 Mar 28, 2022
DIR-GNN - Discovering Invariant Rationales for Graph Neural Networks

DIR-GNN "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)

Ying-Xin (Shirley) Wu 70 Nov 13, 2022
SiamMOT is a region-based Siamese Multi-Object Tracking network that detects and associates object instances simultaneously.

SiamMOT: Siamese Multi-Object Tracking

432 Dec 17, 2022
Hitters Linear Regression - Hitters Linear Regression With Python

Hitters_Linear_Regression Kullanacağımız veri seti Carnegie Mellon Üniversitesi'

AyseBuyukcelik 2 Jan 26, 2022
RetinaNet-PyTorch - A RetinaNet Pytorch Implementation on remote sensing images and has the similar mAP result with RetinaNet in MMdetection

🚀 RetinaNet Horizontal Detector Based PyTorch This is a horizontal detector Ret

Fang Zhonghao 13 Nov 19, 2022
This repository contains the code for TABS, a 3D CNN-Transformer hybrid automated brain tissue segmentation algorithm using T1w structural MRI scans

This repository contains the code for TABS, a 3D CNN-Transformer hybrid automated brain tissue segmentation algorithm using T1w structural MRI scans. TABS relies on a Res-Unet backbone, with a Vision

6 Nov 07, 2022
A small library of 3D related utilities used in my research.

utils3D A small library of 3D related utilities used in my research. Installation Install via GitHub pip install git+https://github.com/Steve-Tod/util

Zhenyu Jiang 8 May 20, 2022
Examples of how to create colorful, annotated equations in Latex using Tikz.

The file "eqn_annotate.tex" is the main latex file. This repository provides four examples of annotated equations: [example_prob.tex] A simple one ins

SyNeRCyS Research Lab 3.2k Jan 05, 2023
Hardware-accelerated DNN model inference ROS2 packages using NVIDIA Triton/TensorRT for both Jetson and x86_64 with CUDA-capable GPU

Isaac ROS DNN Inference Overview This repository provides two NVIDIA GPU-accelerated ROS2 nodes that perform deep learning inference using custom mode

NVIDIA Isaac ROS 62 Dec 14, 2022
Code to reproduce the results for Statistically Robust Neural Network Classification, published in UAI 2021

Code to reproduce the results for Statistically Robust Neural Network Classification, published in UAI 2021

1 Jun 02, 2022
Object tracking using YOLO and a tracker(KCF, MOSSE, CSRT) in openCV

Object tracking using YOLO and a tracker(KCF, MOSSE, CSRT) in openCV File YOLOv3 weight can be downloaded

Ngoc Quyen Ngo 2 Mar 27, 2022
AdamW optimizer for bfloat16 models in pytorch.

Image source AdamW optimizer for bfloat16 models in pytorch. Bfloat16 is currently an optimal tradeoff between range and relative error for deep netwo

Alex Rogozhnikov 8 Nov 20, 2022
Where2Act: From Pixels to Actions for Articulated 3D Objects

Where2Act: From Pixels to Actions for Articulated 3D Objects The Proposed Where2Act Task. Given as input an articulated 3D object, we learn to propose

Kaichun Mo 69 Nov 28, 2022