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 โ€“ 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
[ICCV2021] Official Pytorch implementation for SDGZSL (Semantics Disentangling for Generalized Zero-Shot Learning)

Semantics Disentangling for Generalized Zero-shot Learning This is the official implementation for paper Zhi Chen, Yadan Luo, Ruihong Qiu, Zi Huang, J

25 Dec 06, 2022
This is the official Pytorch implementation of the paper "Diverse Motion Stylization for Multiple Style Domains via Spatial-Temporal Graph-Based Generative Model"

Diverse Motion Stylization (Official) This is the official Pytorch implementation of this paper. Diverse Motion Stylization for Multiple Style Domains

Soomin Park 28 Dec 16, 2022
Implementation of Hierarchical Transformer Memory (HTM) for Pytorch

Hierarchical Transformer Memory (HTM) - Pytorch Implementation of Hierarchical Transformer Memory (HTM) for Pytorch. This Deepmind paper proposes a si

Phil Wang 63 Dec 29, 2022
PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".

Sharpness-aware Quantization for Deep Neural Networks This is the official repository for our paper: Sharpness-aware Quantization for Deep Neural Netw

Zhuang AI Group 30 Dec 19, 2022
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

Generative Deep Learning Teaching Machines to paint, write, compose and play The official code repository for examples in the O'Reilly book 'Generativ

David Foster 1.3k Dec 29, 2022
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.

730 Jan 09, 2023
A universal memory dumper using Frida

Fridump Fridump (v0.1) is an open source memory dumping tool, primarily aimed to penetration testers and developers. Fridump is using the Frida framew

551 Jan 07, 2023
Code repository accompanying the paper "On Adversarial Robustness: A Neural Architecture Search perspective"

On Adversarial Robustness: A Neural Architecture Search perspective Preparation: Clone the repository: https://github.com/tdchaitanya/nas-robustness.g

Chaitanya Devaguptapu 4 Nov 10, 2022
This is the source code for generating the ASL-Skeleton3D and ASL-Phono datasets. Check out the README.md for more details.

ASL-Skeleton3D and ASL-Phono Datasets Generator The ASL-Skeleton3D contains a representation based on mapping into the three-dimensional space the coo

Cleison Amorim 5 Nov 20, 2022
[ICCV 2021 Oral] SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer

This repository contains the source code for the paper SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer (ICCV 2021 Oral). The project page is here.

AllenXiang 65 Dec 26, 2022
Differentiable Simulation of Soft Multi-body Systems

Differentiable Simulation of Soft Multi-body Systems Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin [Paper] [Code] Updates The C++ backend s

YilingQiao 26 Dec 23, 2022
Simple node deletion tool for onnx.

snd4onnx Simple node deletion tool for onnx. I only test very miscellaneous and limited patterns as a hobby. There are probably a large number of bugs

Katsuya Hyodo 6 May 15, 2022
Improving XGBoost survival analysis with embeddings and debiased estimators

xgbse: XGBoost Survival Embeddings "There are two cultures in the use of statistical modeling to reach conclusions from data

Loft 242 Dec 30, 2022
This repository contains FEDOT - an open-source framework for automated modeling and machine learning (AutoML)

package tests docs license stats support This repository contains FEDOT - an open-source framework for automated modeling and machine learning (AutoML

National Center for Cognitive Research of ITMO University 482 Dec 26, 2022
[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

Anycost GAN video | paper | website Anycost GANs for Interactive Image Synthesis and Editing Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zh

MIT HAN Lab 726 Dec 28, 2022
[3DV 2021] Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation

Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation This is the official implementation for the method described in Ch

Jiaxing Yan 27 Dec 30, 2022
โš“ Eurybia monitor model drift over time and securize model deployment with data validation

View Demo ยท Documentation ยท Medium article ๐Ÿ” Overview Eurybia is a Python library which aims to help in : Detecting data drift and model drift Valida

MAIF 172 Dec 27, 2022
This is project is the implementation of the DeepShift: Towards Multiplication-Less Neural Networks paper

DeepShift This is project is the implementation of the DeepShift: Towards Multiplication-Less Neural Networks paper, that aims to replace multiplicati

Mostafa Elhoushi 88 Dec 23, 2022
Reference implementation of code generation projects from Facebook AI Research. General toolkit to apply machine learning to code, from dataset creation to model training and evaluation. Comes with pretrained models.

This repository is a toolkit to do machine learning for programming languages. It implements tokenization, dataset preprocessing, model training and m

Facebook Research 408 Jan 01, 2023
This is the official source code for SLATE. We provide the code for the model, the training code, and a dataset loader for the 3D Shapes dataset. This code is implemented in Pytorch.

SLATE This is the official source code for SLATE. We provide the code for the model, the training code and a dataset loader for the 3D Shapes dataset.

Gautam Singh 66 Dec 26, 2022