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Running Applications on the Hoffman2 Cluster: Case Studies

IDRE Portal 5628 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

RSVP FOR EVENT This class will address the process of creating Matlab standalone executables and running Matlab in batch, as well as running Abaqus python scripts. Example of how to submit array jobs using Abaqus, R and other applications. Can my simulations be submitted as array jobs? Bring your own problem. Also, Jupyter Notebooks: another...
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Free

Introduction to Jupyter

IDRE Portal 5628 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

RSVP FOR EVENT The Jupyter Notebook is a computing tool that allows users to edit and run Python, R, Julia (and many other programming languages) inside a web browser. Furthermore, it is a powerful tool that allows users to combine live code, text, and visualizations in an interactive, shareable, reproducible document. It has been growing...
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Free

Introduction to Jupyter

IDRE Portal 5628 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

The Jupyter Notebook is a computing tool that allows users to edit and run Python, R, Julia (and many other programming languages) inside a web browser. Furthermore, it is a powerful tool that allows users to combine live code, text, and visualizations in an interactive, shareable, reproducible document. It has been growing in popularity in...
Read More

Free

Running Applications on the Hoffman2 Cluster: Case Studies

IDRE Portal 5628 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

This class will address the process of creating Matlab standalone executables and running Matlab in batch, as well as running Abaqus python scripts. Example of how to submit array jobs using Abaqus, R and other applications. Can my simulations be submitted as array jobs? Bring your own problem. Also, Jupyter Notebooks: another way to run...
Read More

Free

Using Jupyter with Hoffman2 and HPC Systems

IDRE Portal 5628 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

This short class will illustrate several powerful tools and features that can enhance one’s experience with Jupyter notebooks. The interactive demonstrations will include a brief overview of plotting tools and magics, followed by demonstrations of how to make interactive widgets for interactive visualizations and dashboards and how to generate analysis pipelines and reports. Basic familiarity...
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Free

Running Applications on the Hoffman2 Cluster, Part I

Zoom

Registration link: https://ucla.zoom.us/meeting/register/tJYqc-6rqz0qGdCvJuus9bUKV2xVtQHZQnHu The Hoffman2 Cluster is a powerful computational resource for the UCLA research community. This workshop is part of a three-seminar series designed to introduce users to the Hoffman2 Cluster environment and to clarify the process of porting applications or using applications already available on the cluster. It also addresses how to port...
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Using Jupyter From Anywhere For Free

Zoom

This workshop is an overview of how to acquire and run Jupyter Notebook services for free from anywhere. In another word, you will learn how a web browser is all you need for getting free Jupyter resources. Any questions about this workshop can be emailed to Qiyang Hu at huqy@oarc.ucla.edu Presented by the Office of...
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Learning Convolutional Neural Networks (1)

Zoom

This workshop will provide an introduction to convolutional neural networks (CNNs). We will begin by using PyTorch to perform image processing on the classic Dogs-vs-Cats problem. Basic knowledge of the topics covered in previous sessions is assumed. Having working experience with Python, Jupyter Notebooks, and linear algebra will be helpful for fully participating in the...
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Learning Convolutional Neural Networks (2)

Zoom

This workshop will be the second lecture in our introduction to convolutional neural networks (CNNs). We will continue our learning by applying data augmentation and transfer learning techniques to improve our solution for the classic Dogs-vs-Cats problem using PyTorch. A basic understanding of the topics covered in previous sessions is assumed. Having working experience with...
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Learning Generative Adversarial Networks

Zoom

This workshop will introduce participants to Generative Adversarial Networks (GANs). We will demonstrate the core techniques of GANs, including how to use Deep Convolutional GANs (DCGANs) to generate images using PyTorch. A basic understanding of the topics covered in previous sessions is assumed. Having working experience with Python, Jupyter Notebooks, and linear algebra will be...
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