Upcoming Workshops
Sign in in with your GSU credentials to register for workshops.
| Title | Location | Date/Time | Description | Register |
|---|---|---|---|---|
| HPC Workshop: MPI | 58 Edgewood Drive | 12/10/2024 11:00 a.m. - 12/11/2024 05:00 a.m. | This workshop provides a hands-on introduction to MPI programming. Working knowledge of either C or Fortran required. PSC Remote Classroom … |
Previous Workshops
| Title | Description |
|---|---|
| HPC Workshop: GPU Programming Using OpenACC | The Pittsburgh Supercomputing Center is pleased to present a workshop on GPU programming using OpenACC. … |
| Hands On: Basics of NLP/LLMs | Requirements: Laptop for Hands on Delve into the fundamentals of deep learning in Natural Language … |
| Optimizing and Accelerating MATLAB Code | In this session, we will demonstrate simple ways to improve and optimize your code that … |
| Hands On: Basics of Graph Networks | Requirements: Laptop for Hands on Explore graph networks and implement them using PyTorch |
| Hands On: Basics of Computer Vision | Requirements: Laptop for Hands on Explore how deep learning networks function in computer vision and … |
| Hands On: Distributed Computing with Spark | Explore the foundational principles of distributed computing, understand how to identify suitable scenarios for its … |
| Interactive Data Analysis with MATLAB | Learn how you can analyze and model data using interactive tools in MATLAB. Through live … |
| Introduction to Kubernetes for Scientific Workloads | Prerequisite: Using Containers for Scientific Computing Workloads |
| Creating Scientific Visualization with Python | Introduction to Python for non-programmers with a focus on plotting and data analysis. Will cover: … |
| Distributed Data Analysis with Spark | Run analysis on large data sets using spark |
| Using containers for Scientific Computing Workloads | Creating Containers with singularity/docker |
| Python for Machine Learning (ML) 5: Bagging and Boosting | Register via rooms.library.gsu.edu |
| NVivo 2 for Windows: Exploring Your Data | Register via rooms.library.gsu.edu |
| NVivo 1 for Windows: Getting Started | Register via rooms.library.gsu.edu |
| Linux Crash Course | Introduction to the Linux CLI |
| SPSS 2: Analyzing Data | Register via rooms.library.gsu.edu |
| Accelerating Scientific Computing Problems Part 3 | Accelerating Scientific Computing Proglbems using High-Performance Computing Part 3 Participate in this instructive workshop focused … |
| Python for Machine Learning (ML) 4: Decision Trees | Register via rooms.library.gsu.edu |
| Introduction to Qualtrics Survey Builder | Register via rooms.library.gsu.edu |
| SPSS 1: Getting Started | Register via rooms.library.gsu.edu |
| Programming with Python | Programming with Python Introductory Course Location: CURVE Library South 2 Workshop for introductory programmers to … |
| Tableau 2: Data Visualization Beyond the Basics (IN-PERSON) | Register via rooms.library.gsu.edu |
| Accelerating Scientific Computing Problems Part 2 | Accelerating Scientific Computing Problems using High-Performance Computing Part 2 Participate in this instructive workshop focused … |
| Creating workflows using Slurm | Covering the workflow to submit SLURM jobs and troubleshooting the running and completed jobs. |
| Mapping Census Data with Social Explorer | Register via rooms.library.gsu.edu |
| Tableau 1: Getting Started with Data Visualization | Register via rooms.library.gsu.edu |
| Accelerating Scientific Computing Problems Part 1 | Accelerating Scientific Computing Problems Using High Performance Computing Part 1 Participate in this instructive workshop … |
| Running Deep Learning Models on Multiple GPUs | Run Deep learning models on multi-node/multi-gpu configurations. |
| Big Data and Machine Learning | Location: 58 Edgewood Avenue SE Room 365 ACCESS Workshop Two Day Workshop
|
| Bash Scripting | Introduction to Bash Scripting |
| Collaborating with Git/Github | Covering github, branches, code commits, and multiple user collaboration on one codebase. |
| AutoEncoders Workshop | In this Workshop we will do theory and hands-on of autoencoders |
| Python Virtual Environments | In this workshop, you will be introduced to 1. Creating virtual environments using pip and … |
| Hands on workshop - Python applications | Instructor Sanju Timsina (stimsina@gsu.edu) In this workshop, you will introduce to different applications of pythons. … |
| Hands On Workshop - Introduction to Programming with Python | Instructor: Chris Childress Requirements: Laptop with Admin Access Software Prerequisites:
|
| Hands on Workshop - Introduction to Linux basics | Instructor Scott Burns ( sburns17@gsu.edu) In this workshop, you will be introduced to Linux terminal … |
| Hands on workshop - How to run a parallel program on the cluster | Instructure Suranga Edirisinge (neranjan@gsu.edu) In this workshop, we will cover how to run your program … |
| Intro to image detection/classification using deep learning | Instructor: Shruti Shrestha (sshrestha8@gsu.edu) In this workshop, you will learn how to use deep learning … |
| Arctic Summer Camp, July 17 -21, 2023 | Develop software for a self-driving vehicle and test your code against an obstacle course. Join … |
| Workshop: ARCTIC Onboarding | Beginners workshop for accessing ARCTIC's GPUs and HPC clusters |
| Workshop: ARCTIC Onboarding | Beginners workshop for accessing ARCTIC's GPUs and HPC clusters |
| Workshop: ARCTIC Onboarding | Beginners workshop for accessing ARCTIC's GPUs and HPC clusters |
| Workshop: ARCTIC Onboarding | Beginners workshop for accessing ARCTIC's GPUs and HPC clusters |
| Python for Machine Learning (ML) 3: Logistic Regression (ONLINE) | This applied Machine Learning (ML) series introduces participants to the fundamentals of supervised … |
| Workshop: ARCTIC Onboarding | Beginners workshop for accessing ARCTIC's GPUs and HPC clusters |
| Python for Machine Learning (ML) 2: Multivariate Linear Regressi |
This applied Machine Learning (ML) series introduces participants to the fundamentals of supervised … |
| Workshop: ARCTIC Onboarding | Beginners workshop for accessing ARCTIC's GPUs and HPC clusters |
| Python for Machine Learning (ML) 1: Univariate Linear Regressi |
This applied Machine Learning (ML) series introduces participants to the fundamentals of supervised … |
| Machine Learning and Big Data using Spark | Location: 58 Edgewood Avenue NE, room 365, Atlanta GA 30303 Wednesday, March 8, 11:00 am … |
| SCD 22 - Scientific Computing Day | Scientific Computing Day (SCD) is a symposium for fostering productive networking and promoting transdisciplinary collaborations … |
| Machine Learning Part 1/2 | This is a two part workshop. material: Python, Pandas, Numpy, Scikit Learn. objective: You will … |
| Data Visualization | Workshop Objectives: You will get a review of different visualization libraries, both low and high … |
| Data Preparation and Manipulation | Objectives: At the end of the workshop you will be able to retrieve data from … |
| ARCTIC Onboarding | This workshop will provide you basic information how to use the ARCTIC Cluster. Following topics … |