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January 2019
NVIDIA’s training on Accelerated and Deep learning Fundamentals using GPUs
Agenda Day 1 - Jan 16, 2019, 9AM-4PM: Fundamentals of Accelerated Computing with OpenACC Learn the basics of OpenACC, a high-level programming language for programming on GPUs. This course is for anyone with some C/C++ experience who is interested in accelerating the performance of their applications beyond the limits of CPU-only programming. In this course, you’ll learn: How to profile and optimize your CPU-only applications to identify hot spots for acceleration How to use OpenACC directives to GPU accelerate your…
Find out more »Introduction to Programming in Go
This short course will cover the basics of the Go language for those who already are familiar with an imperative programming environment like Python. The Go programming language (golang) is a simple, high-performance imperative programming language. It has the benefits of a strongly typed, compiled language along with many of the benefits of popular scripting languages like Python. The course will assume familiarity with another imperative language so we can use comparisons (to Python) to leverage familiarity and move quickly.…
Find out more »Using Globus From the Command Line
This short course will cover the basics of the Globus file transfer platform. We will discuss installation and configuration on Windows, MacOS, and Linux. Of particular interest will be using Globus from the command line. We will cover the installation of the GlobusCLI, initiating and monitoring transfers and some basic troubleshooting. The goal will be to develop basic skills that will enable the participant to incorporate GlobusCLI commands and data transfers into their workflows. A laptop and an account on…
Find out more »February 2019
Introduction to Jupyter
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 many scientific and research disciplines as a data exploration and analysis tool that encourages collaboration and reproducible science. This class will provide an interactive demonstration…
Find out more »Jupyter Advanced Topics
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 with Python will be assumed. If you have any questions or comments regarding this event, please contact Ben Winjum.
Find out more »Running Applications on the Hoffman2 Cluster: Introduction
The Hoffman2 cluster is a powerful computational resource for the UCLA research community. This class is designed to clarify the process of porting your own applications on the cluster or using applications already available on the cluster. It also addresses how to port your workflow to the Hoffman2 and how to submit batch and run interactive applications. If you have any questions or comments regarding this event, please contact Rafaella D'Auria.
Find out more »Running Applications on the Hoffman2 Cluster: Case Studies
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 python and R on Hoffman2. If you have any questions or comments regarding this event, please contact Rafaella D'Auria.
Find out more »March 2019
Understanding Job Scheduling on Hoffman2 Cluster
We will discuss how to effectively run jobs on Hoffman2 cluster. Hoffman2 cluster serves a wide spectrum of user applications and is almost always heavily loaded. We will first review the model and policy of Hoffman2's job scheduling, followed by fundamentals of using its job scheduler, Univa Grid Engine. A number of common use cases will be discussed in details, including: (1) Single-CPU jobs, (2) Multi-CPU, same-node jobs, (3) Multiple-node (MPI-style) jobs and (4) Job arrays. If you have any…
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