Events Search and Views Navigation
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
Analyzing and Visualizing Interactions in SAS
REGISTER FOR EVENT In regression, we are often interested in an interaction, which is the modification of the effect of an independent variable by another. To understand the magnitude, direction, and significance of the interaction we need to decompose it into simple effects. Simple effects can be analyzed in three ways, by 1) testing each effect against zero, 2) testing differences among effects, and 3) visualizing each effect with graphs. This seminar will demonstrate how to do all three analyses…
Find out more »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 »Meta-analysis in Stata
REGISTER FOR EVENT Meta-analysis is the synthesis of results from previous studies. It is used to increase power, obtain a better estimate of an effect size, and sometimes to resolve conflicting conclusions in the literature. In this workshop, we will discuss how the data for a meta-analysis are collected and organized, as well as how such data are analyzed and graphed. We will also discuss some of the limitations meta-analysis and what should be included in a meta-analysis for publication.…
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 »Introduction to Regression in R
REGISTER FOR EVENT Regression analysis is one of the most powerful statistical techniques that is used to explain variability in a response (dependent) variable as a function of one or more predictor (explanatory or independent) variables. The aim of this seminar is to help participants increase their skills in using regression analysis with R. The seminar does not teach regression, per se, but focuses on how to perform regression analyses using R. However, it gives a very brief review on the theoretical…
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 »R Markdown Basics
REGISTER FOR EVENT R Markdown files integrate text, Markdown, and R code into dynamic documents that weave together plain text, formatted text, and the output of the R code. The resulting dynamic reports can be produced in many formats, including HTML documents, HTML slideshows, LaTeX pdf, Beamer slideshows, MS Word doc, books, scientific articles, and websites. This seminar covers basic coding and conventions of the 3 frameworks upon which R Markdown depends: Markdown for formatting text, knitr for R code…
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…
Find out more »