Institute for Digital Research and Education
The most widely used way to interact with computers is through a graphical user interface, for example, the desktop interface of Microsoft Windows or Mac OS. However, you can also use a text interface to interact with your computer (or with a computing system like Hoffman2). This can variously be referred to as the command...
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Join us in the YRL Conference Room for a screening of the 2017 short experimental documentary “.TV” followed by a group discussion. We will discuss the small South Pacific island nation of Tuvalu, its web domain .tv, and climate change. Some guiding questions for our discussion include: What does it mean to map a nation...
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This workshop introduces the statistical software SPSS, with a focus on basic commands for importing data, data management, data visualization and simple statistical analysis through its point-and-click interface and some syntax. This workshop is aimed at new and infrequent SPSS users. Questions about this workshop can be sent to Christine Wells (crwells@ucla.edu). Register here: https://ucla.zoom.us/meeting/register/tJMucuuuqT0uGdYllDjxpcquo3d-4lgCYZN6
This presentation will offer illustrations from current research to demonstrate how the Hoffman2 Cluster can be used to do research for linguistic history.
Are you interested in making maps that show connections between places? Do you want to find the quickest or easiest way to get between two points? Do you want to discover potential pathways through elevation changes? Are you interested in using UCLA’s Hoffman2 shared computing cluster to perform GIS research? Are you working with a...
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Shell scripts enable users to link together multiple Linux commands into a single executable program. They can save users from a lot of wasted time, effort, and headache. For example, many researchers execute many different steps and run several different programs during their process of transforming raw data into analyzable results and ultimately into polished...
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This workshop introduces the statistical software SAS, with a focus on basic commands for importing data, data management, data visualization and simple statistical analysis. This workshop is aimed at new and infrequent SAS users. Questions about this workshop can be sent to Siavash Jalal (sjalal@oarc.ucla.edu). Register here: https://ucla.zoom.us/meeting/register/tJMvde-trjsuH9avhgE4S3CcW6iYxc58ELxK
Requesting interactive sessions / loading and starting interactive applications /interactive versus non interactive (batch) jobs / submitting batch jobs to the scheduler / Running: serial - multithreaded - parallel jobs Questions about this workshop can be set to Raffaella D'Auria (dauria@oarc.ucla.edu). Register here: https://ucla.zoom.us/meeting/register/tJ0odeiqrT4iG9IgPYD5lWz2M--zpMGi_jw8
In this engaging workshop, explore the symbiotic relationship between Machine Learning (ML) and High-Performance Computing (HPC), a collaboration that stands at the forefront of modern computational advancements. Participants will gain hands-on experience utilizing powerful HPC tools and libraries to accelerate ML model training and inference, fostering innovations in fields such as bioinformatics, climate science, and...
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Venue: Virtual via zoom Recording is available at: https://youtu.be/Nq8CkX20xjM The IDRE Early Career Researchers group is pleased to announce a discussion on harnessing high-performance computing across STEM disciplines. The panel will be led by the following new cohort of IDRE fellows (2023-2024) from various disciplines across the UCLA campus. Robert Fofrich – Institute of the...
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Array jobs are a special class of batch jobs that use one submission script to execute multiple tasks, this is one of the most efficient ways of harnessing the computing capability of the Hoffman2 Cluster to get your work done expeditiously. Can your workflow be adapted to run in this fashion? Bring your problem /...
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The application of machine learning (ML) and high performance computing (HPC) to humanities research holds tremendous potential, but there are significant challenges to developing a community of experts that can work together at this intersection of topic and technique. HPC experts may not have the background necessary to appreciate how their tools can best be...
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Alec Linot Speaker: Alec Linot, Ph.D. IDRE Fellow Mechanical and Aerospace Engineering University of California Los Angeles Location: Zoom (Registration required) Time: 11:30 AM – 12:30 PM (PST) Video Link: https://youtu.be/E8f2lrHMOa8 Abstract: Forecasting the dynamics of fluid flows plays a crucial role in our understanding of processes such as the swimming...
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Most would agree that in terms of creating virtual experiences as part of research, more context is better. Contextual information allows for a bigger picture to be seen and can provide in situ understanding, despite being remote. With the proliferation of 360 cameras, creating immersive virtual tours has become more commonplace. Whether it is to...
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Cloud computing service allows users to access various computing resources such as applications, servers, storage, databases, networking, analytics, and artificial intelligence through the internet. This workshop series aims to offer practical guidance for academic researchers who want to use cloud computing resources. I will cover compute instances, network, interactive computing, storage, and high-performance computing (HPC)...
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Cloud computing service allows users to access various computing resources such as applications, servers, storage, databases, networking, analytics, and artificial intelligence through the internet. This workshop series aims to offer practical guidance for academic researchers who want to use cloud computing resources. I will cover compute instances, network, interactive computing, storage, and high-performance computing (HPC)...
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As spatial data becomes more plentiful and available, there are new challenges for accessing it in scholarship. From point clouds with millions of entries to complex elevation maps, it is becoming increasingly difficult to perform spatial analysis on laptops and personal computers. UCLA’s high performance computing cluster, Hoffman2, enables processing and analyzing complex geodata remotely,...
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Since its launch in November 2022, ChatGPT has rapidly become one of the most intriguing technological advancements of our time. In the first session of our "Learning ChatGPT" workshop series, we will explore the significance and functionalities of ChatGPT. The session aims to provide a comprehensive understanding of what ChatGPT is, its inherent limitations, the...
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This workshop teaches the basics of the linear regression model, the foundation for most other regression models. Topics include understanding the model equation, continuous and categorical predictors, interpreting the model estimates, and diagnostics for assessing model assumptions. The workshop is intended to be interactive, with examples and exercises in R, and assumes only introductory exposure...
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Information systems since the advent of the World Wide Web have offered increasingly sophisticated and reliable tools for inquiry and scholarship based upon centuries-old practices of annotation. What are the connections and tensions between visual and verbal media? How do idiosyncratic readerly practices of scribbling in margins of a book translate into W3C standards for...
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Since its launch in November 2022, ChatGPT has rapidly become one of the most intriguing technological advancements of our time. In the second session of our "Learning ChatGPT" workshop series, we are set to undertake a deep technical dive into ChatGPT. This session will encompass an in-depth discussion on the transformer architecture, explore fine-tuning techniques,...
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Speaker: Fei-Man Hsu, Ph.D. IDRE Fellow Department of Molecular, Cell, and Developmental Biology University of California Los Angeles Time: 11:30 AM – 12:30 PM (PST) Date: March 1, 2024 View recording: https://youtu.be/RVfoXBN66HU Abstract: DNA methylation signatures have high predictive value and could be used to predict health outcomes. Challenges remained in clinical...
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This workshop introduces zero-inflated poisson, zero-inflated negative binomial, and hurdle models for count data, which are two-part models used when more zeros are found in the data than expected with typical count distributions. We will discuss the formulations of the two parts of each model, the interpretation of model parameters, and how to run these...
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Agenda: 9:00 – 10:30 Addressing the Archive: Current State of Jewish Music Archives in the U.S Todd Presner, UCLA: Chair and Opening Remarks Judy Pinnolis, Berklee: An Overview of Academic Issues in Jewish Music Sound Recording Collections Lorin Sklamberg, YIVO Institute: Issues and Challenges Digitizing the YIVO Sound Archives Sharon Benamou, UCLA: Acquisitions and Cataloging...
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Link to the recording: https://youtu.be/CxpGAIjidvQ Speaker: Prof. Manish Sagger Tashia and John Morgridge Endowed Faculty Scholar in Pediatric Translational Medicine, Stanford Maternal & Child Health Research Institute Assistant Professor, Department of Psychiatry & Behavioral Sciences Principal Investigator, Brain Dynamics Lab Stanford University School of Medicine Abstract: Understanding the neurobiological underpinnings of psychiatric...
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This workshop will introduce mediation (i.e., causal) models using Mplus. Explanations of the syntax and output will be given, as well as some tips about reporting such analyses. Models with latent variables will not be discussed. For questions about this workshop, contact Christine Wells (crwells@ucla.edu). Register via Zoom
RSVP link: https://ucla.zoom.us/meeting/register/tJwrcuiprj8pEtb0HFIN3H1PdxN-B6_IkDps The US National Science Foundation supports an ecosystem of computing facilities housing some of the most advanced supercomputers and high-end visualization and data analysis resources. Its ACCESS program is to help researchers and educators, with or without supporting grants, to utilize the nation’s advanced computing systems and services. Its computing facilities provide...
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Speaker: Xiao Luo, Ph.D. IDRE Fellow Department of Computer Science University of California Los Angeles Time: 11:30 AM – 12:30 PM (PST) Date: March 28, 2024 Link to the recording: https://youtu.be/0_WwPe-kV-Q Abstract: Many real-world systems such as disease transmission, molecular dynamics, and spring systems can be considered as multi-agent dynamical systems, where multiple objects interact with...
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The Hoffman2 Cluster is a powerful computational resource for the UCLA research community. Come and learn what is it and how you can get started using it. Instructor: Raffaella D'Auria Register via Zoom
Knowledge of Linux is key to successfully using most HPC resources, including the Hoffman2 Cluster. This workshop introduces users to basic usage of the command line interface (CLI), basic file manipulation and the filesystem hierarchy. Environmental modules and modification of the user environment will also be introduced. Instructor: Raffaella D'Auria Register via Zoom
Python is a very popular language for computational and data science, and it has many powerful capabilities for visualizing data in the pursuit of understanding and conveying underlying patterns. The first part of this series will showcase various ways that Python can be used for creating graphics, following which we’ll dive into some common Python...
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Network analysis allows for the modeling of connections between people, places, concepts, and entities in nearly any field of study. We can visualize, describe, and even predict these connections by treating them as data through the use of widely available and free tools. This workshop will introduce participants to the field of network analysis, with...
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Python is a very popular language for computational and data science, and it has many powerful capabilities for visualizing data in the pursuit of understanding and conveying underlying patterns. The second part of this series will explore various ways that Python can be used to make interactive graphics that enhance one’s ability to explore data...
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Jupyter Notebook and JupyterLab are a powerful tool for interactive computing and for proof of concept implementations. Come and learn how to open jupyter sessions on your local browser while harnessing the computing power on the Hoffman2 Cluster. Work in a conda/python environment, in R, julia or many other programming languages. Instructor: Raffaella D'Auria Register...
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This workshop caters to computing professionals and researchers eager to push the boundaries of high-performance computing using GPUs. Tailored for an audience that ranges from novices to experienced users, the workshop covers the essentials of GPU computing, with a special focus on leveraging these powerful processors within Python and R environments as well as other...
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Learn how to perform interactive computing on the Hoffman2 Cluster. From requesting the computational resources needed for your interactive session to loading and starting TUI and GUI applications. Instructor: Raffaella D'Auria Register via Zoom
While Python has been the most popular programming language since 2019, data scientists often critique its slow speed and limited capabilities in handling big data scenarios. In this workshop series, we'll tackle how to enhance Python's performance in data science by diving deep into its workings and leveraging technologies to transform Python into an effective...
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This seminar teaches the “grammar” of graphics that underlies the ggplot2 package, allowing the user to build eye-catching, publication-quality graphics layer-by-layer. We will cover the basic elements of the grammar of graphics, including aesthetics, geoms, scales, and themes, and we will show you how easy ggplot2 makes it to integrate these elements to make informative...
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Cloud computing service enables users to access various computing resources such as applications, storage, databases, and even machine learning. This workshop will cover how to create your own high-performance computing cluster with a job scheduler on the cloud service, based on the knowledge of compute instance and storage. By doing this, the users can run...
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While Python has been the most popular programming language since 2019, data scientists often critique its slow speed and limited capabilities in handling big data scenarios. In this workshop series, we'll tackle how to enhance Python's performance in data science by diving deep into its workings and leveraging technologies to transform Python into an effective...
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Batch computing enables you to execute concurrently or independently a large number of simulations, practically scaling up your ability to conduct research. Come and learn the basics of how to submit jobs, how to request resources and how to take advantage of very many CPU and GPU cores on the Hoffman2 Cluster. Instructor: Raffaella D'Auria...
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Speaker: Robert Fofrich, Ph.D. IDRE and UC President's Postdoctoral Fellow Institute of the Environment and Sustainability University of California Los Angeles Place: Virtual (Link to the video recording) Abstract: Lower climate change mitigation pathways require large and swift reductions in anthropogenic CO2 emissions worldwide, a substantial portion arising from fossil energy sources utilized in electricity generation. Thus,...
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The workshop will introduce the basic concepts and elements necessary to analyze data collected via a complex sampling design. The workshop will use SPSS Complex Samples to conduct descriptive analyses. Examples of subpopulation analyses will be given, as well as examples of linear and logistic regression models. Instructor: Christine Wells Register via Zoom
In regression, we are often interested in an interaction, which is the modification or moderation of the effect of an independent variable by another. Understanding interactions involves interpreting the regression coefficients, estimating and testing simple effects and their differences, and visualizing the interaction. This workshop will teach you how to do all of these thing...
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Speaker: Najoon Suh, Ph.D IDRE Fellow Department of Statistics and Data Science University of California Los Angeles Location: Zoom (Recording link) Abstract: In the work to be presented, we leverage the power of latent diffusion models to generate synthetic time series tabular data. Along with the temporal and feature correlations, the...
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UCLA-IDRE is pleased to host a two-day, in-person, Big Data workshop (July 31 - August 1, 2024, 8 AM-2 PM each day) organized by Pittsburgh Supercomputing Center. This workshop will focus on big data analytics, machine learning using Spark, and deep learning using TensorFlow. It is an in-person workshop presented using the Wide Area Classroom...
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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...
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This workshop will cover both the use of descriptive and inferential statistics with complex survey data in Stata. We will also discuss post-estimation commands, the analysis of subpopulations, and some graphical methods that can be used with weighted data. Instructor: Christine Wells Register Now via Zoom Workshop materials
R is a powerful programming language specifically designed for statistical analysis. In this workshop, we will explore some of the tools and packages available in R to craft visually appealing tables that effectively communicate your results. Whether you're using R Markdown and seeking to generate tables in your HTML file or aiming to create polished...
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Speaker: Xiao Luo, Ph.D. IDRE Fellow Department of Computer Science University of California Los Angeles Time: 11:30 AM – 12:30 PM (PST) Date: August 30, 2024 RSVP link: Click here to watch the recording Abstract: This talk discusses the problem of learning-based physical simulation, a crucial task with applications in fluid mechanics and aerodynamics. Recent works...
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