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November 2022
Introduction to R
This workshop introduces the functionality of R, with a focus on data analysis. Topics include: using RStudio, R coding basics, importing and cleaning data, simple data analysis functions, and brief introductions to R graphics (base and ggplot2) and RMarkdown. This workshop is interactive with coding exercises throughout. Any questions about this workshop can be emailed to Andy Lin at alin@oarc.ucla.edu. Presented by the Office of Advanced Research Computing (OARC). Register here: https://ucla.zoom.us/meeting/register/tJAof-CtpjktGdCuPcuKIye5gFwlTBlCdrWV
Find out more »October 2022
3-D in-silico investigations of transcatheter aortic valve replacement (TAVR)
Speaker: Alp Karakoç, Ph.D. IDRE Fellow UCLA Civil and Environmental Engineering University of California Los Angeles Location: Virtual Registration: https://ucla.zoom.us/meeting/register/tJwude6opjIqGtfAd7WrSbjVWgtujflTP2l1 Abstract: As life expectancy increases, there are ever-increasing cases of age-related diseases that takes medical attention. As being the second most common valvular lesion in the United States, aortic stenosis (AS) is present in about 5% of the population at and above age 65 with increasing prevalence. In AS cases, the calcium deposition in the aortic root…
Find out more »Introduction to Neural Networks
This workshop is a descriptive "no-math" and "no-python" introduction to what deep learning is and how to train a deep neural network. Our discussion will be arranged along with a general procedure for working on a deep learning project. Basic knowledge of calculus and linear algebra will be helpful in understanding the details. Any questions about this workshop can be emailed to Qiyang Hu at huqy@oarc.ucla.edu Presented by the Office of Advanced Research Computing (OARC). Register here: https://ucla.zoom.us/meeting/register/tJErfuysrDIpEtV0NY_dVJ67XS1ZDrmPENT5
Find out more »Hoffman2 Happy Hour: Connecting to the Hoffman2 Cluster via Remote Desktop
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring your computational questions (they do not have to be strictly related to the topic of the week) or just your curiosity. Examples and hands-on components…
Find out more »Big Data on HPC
This workshop will go over using Big Data techniques on HPC resources. Big Data methods are used when data size because so large, it becomes challenging to compute. Also, when machine learning models become so complex, it can also be challenging to train. In this workshop, we will go over examples of solving Big Data problems on UCLA’s HPC resource Hoffman2. This is an introductory workshop is intended to showcase various Big Data software and libraries, such as, Spark and…
Find out more »Getting Started with Digital Film in Research: Managing, Editing and Best Practices
Whether it is interviews, documentary coverage, or contextual footage, video has become a common practice within research. This course is designed to help scholars manage and make use of their research video footage. The workshop will discuss various best practices regarding file management, editing platforms, and techniques for putting footage together to meet your research goals. Participants will be introduced to Davinci Resolve to learn the basics of a preliminary editing process with industry standard software. Software alternatives, such as…
Find out more »Using Jupyter From Anywhere For Free
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 Advanced Research Computing (OARC). Register here: https://ucla.zoom.us/meeting/register/tJItc-2rrT0oH9175yFJ9te98AnFNjqvrMnm
Find out more »Hoffman2 Happy Hour: Connecting to the Hoffman2 Cluster from MacOS or Linux
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring your computational questions (they do not have to be strictly related to the topic of the week) or just your curiosity. Examples and hands-on components…
Find out more »Hoffman2 Happy Hour: Connecting to the Hoffman2 Cluster from Windows
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring your computational questions (they do not have to be strictly related to the topic of the week) or just your curiosity. Examples and hands-on components…
Find out more »Cloud Computing Workshops. Part 2: AWS Elastic Compute Cloud
Cloud computing service is the delivery of computing resources including applications, servers, storage, databases, networking, analytics, and artificial intelligence over the internet. This workshop series will provide hands-on tutorials to demonstrate cloud services as an alternative computing resource for academic researchers. We will cover two leading cloud services, Amazon Web Service (AWS) and Google Cloud Platform (GCP). The topics include: an introduction, compute instances, interactive computing, storage, and setting up an HPC cluster in the clouds. Any questions about this…
Find out more »Introduction to the Linux Shell Part 2: Shell Scripting
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 data products that can be published. This process can be tedious and error-prone, and sometimes it’s not easy to reproduce. With shell scripts, you can…
Find out more »Hoffman2 Happy Hour: Getting an account, becoming a sponsor
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring your computational questions (they do not have to be strictly related to the topic of the week) or just your curiosity. Examples and hands-on components…
Find out more »Cloud Computing Workshops. Part 1: Introduction
Cloud computing service is the delivery of computing resources including applications, servers, storage, databases, networking, analytics, and artificial intelligence over the internet. Besides understanding of cloud computing, these workshops are intended to provide hands-on tutorials to see how cloud service providers may offer academic researchers an option to use additional computing resources. Working on two major cloud providers, Amazon Web Service (AWS) and Google Cloud Platform (GCP), we will go over an introduction, compute instances, interactive computing, storage, and even…
Find out more »Introduction to the Linux Shell Part 1: Using the Command Line
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 line, terminal, shell, console, or prompt, and while it may appear complex at first sight, it offers a lot of power and flexibility for telling…
Find out more »September 2022
Hoffman2 Happy Hour: Introduction to the Hoffman2 Cluster
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring your computational questions (they do not have to be strictly related to the topic of the week) or just your curiosity. Examples and hands-on components…
Find out more »Hoffman2 Happy Hour: RStudio on Hoffman2
The Hoffman2 Happy Hours Series: Using Rstudio on Hoffman2 is best with a Rstudio Server app. This Happy Hour shows an example of using a Rstudio Server with Singularity/Apptainer. Any questions about this workshop can be emailed to Charles Peterson at cpeterson@oarc.ucla.edu. Presented by the Office of Advanced Research Computing (OARC). Register here: https://ucla.zoom.us/meeting/register/tJMqfu6vpjsrGNJrFbMEK_wiVH2gZy_Fztse
Find out more »Hoffman2 Happy Hour: Anaconda on Hoffman2
Anaconda (https://www.anaconda.com/) is a distribution of R and Python that can be used to easily install many popular data science, biostats, and other packages. This Hoffman2 Happy Hour will go discus using Anaconda on Hoffman2. This can be applied to using Anaconda on various other HPC resources. We will go over creating conda environments and running applications on Hoffman2. Any questions about this workshop can be emailed to Charles Peterson at cpeterson@oarc.ucla.edu. Presented by the Office of Advanced Research Computing…
Find out more »August 2022
Machine Learning of the Ocean Overturning Circulation
Speaker: Aviv Solodoch, Ph.D. IDRE Scholar, Atmospheric and Oceanic Sciences, University of California Los Angeles Location: Virtual (Click here for the recording) Abstract: The meridional overturning circulation (MOC) in the oceans is a fundamental circulation pattern whereby surface water cool and densify in polar regions, and subsequently sink to great depths. These dense waters then spread horizontally at depth to cover virtually all deep ocean basins globally. The MOC has critical roles in the climate system, including influencing…
Find out more »Accessibility Testing Training
In this live hour-long webinar, the UCLA Disabilities and Computing Program will introduce the basics of accessibility testing. The ability to identify accessibility errors is the first step in making your content accessible. This class will focus on HTML accessibility and Document accessibility testing. Any questions about this workshop can be emailed to tlee@oarc.ucla.edu. Register here: https://docs.google.com/forms/d/e/1FAIpQLScqbYJaXvDlJJ2BigBuD4ro3Eyaiblw2I3d8howZBY5635oyw/viewform
Find out more »July 2022
High Performance Machine Learning Using Scikit-Learn
As machine learning gains more and more popularity in science and technology in recent years, scikit-learn becomes one of the must-have libraries in the general machine learning toolbox. In this lecture we will discuss some advanced topic on using scikit-learn python library to make high performance machine learning, specifically the speedup modeling using multicore and accelerators and out-of-core learning. The session assumes the knowledge of topics covered in the first session. Working experience on Python programming, basic machine learning concepts…
Find out more »Learning Scikit-Learn
As machine learning gains more and more popularity in science and technology in recent years, scikit-learn becomes one of the must-have libraries in the general machine learning toolbox. In this lecture we will present an introduction about the basics of scikit-learn python library. Prerequisite knowledge for the workshop includes Python programming and basic machine learning concepts. Any questions about this workshop can be emailed to huqy@idre.ucla.edu. Register here: https://ucla.zoom.us/meeting/register/tJIkd-qrqD8iGtRZfCxQN-hSUhVxVW8FqL1Q.
Find out more »Hoffman2 Happy Hour: Building/Compiling software on Hoffman2
This Hoffman2 Happy Hour will discuss how to build and compile software on Hoffman2. This can also be applied to most HPC resources that researchers may use. While Hoffman2 system admins can compile software when needed, researchers can compile software themselves, so they have more control over how it is built. We will go over the process of compiling software is users’ directories and run them on Hoffman2. We will also go over Make/CMake, GCC and Intel compilers, and properly…
Find out more »Building Containers for HPC
This workshop is a follow-up to a previous workshop on “Using Containers on HPC Resources” (https://github.com/ucla/hpc_workshops). This workshop will focus on creating containers to be ran on HPC resources. We will go over building containers using Docker/podman and Apptainer/Singularity. We will also use Hoffman2 to run our newly built containers. To follow along, users will need to install Docker or podman as well as Apptainer or Singularity on a computer they have root/admin access (Or you can just listen a…
Find out more »June 2022
Hoffman2 Happy Hour: Using Anaconda on Hoffman2
Anaconda (https://www.anaconda.com/) is a distribution of R and Python that can be used to easily install many popular data science, biostats, and other packages. This Hoffman2 Happy Hour will go discus using Anaconda on Hoffman2. This can be applied to using Anaconda on various other HPC resources. We will go over creating conda environments and running applications on Hoffman2. Any questions about this workshop can be emailed to cpeterson@oarc.ucla.edu. Register here: https://ucla.zoom.us/meeting/register/tJwlf-itqTIuHtzYKEWVdD4Inja00rJKlGVA
Find out more »Tigrinya Language Digital Initiatives Symposium
June 16 – 19, 2022 Time: 9:00 am – 1:00 pm (PST) Please visit the Symposium Website for conference information. Opening Keynote Address: Dr. Aida Habtezion, Chief Medical Officer and Head of Worldwide Medical and Safety at Pfizer Closing Keynote Speaker: Ariam Weldeab, Author, Movie Producer and Director register here. or https://ucla.zoom.us/webinar/register/WN_3Xq_9Iz6StWR78RuHnC1NA Conference will be virtual via Zoom webinar Tigrinya Language Digital Initiatives Symposium highlight: The mission of the Tigrinya Language Digital Initiatives Symposium is to bring Language, Technology, and Organizational talents together…
Find out more »May 2022
Graphing Interactions Using the PROCESS Macro in SPSS
This workshop will demonstrate how to include moderation terms (AKA interaction terms) in linear models, how to interpret the coefficients, and how to graph the interaction using the PROCESS macro in SPSS. Examples will include categorical by categorical, categorical by continuous, and continuous by continuous interactions. Any questions about this workshop can be emailed to crwells@ucla.edu. Register here: https://ucla.zoom.us/meeting/register/tJUuce-spj4rGNcYvc7hKAQPS28yTTpR14Bg
Find out more »Hoffman2 Happy Hour: Array jobs: run multiple jobs of the same type from one submission script + Q&A
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring your computational questions (they do not have to be strictly related to the topic of the week) or just your curiosity. Examples and hands-on components…
Find out more »What is Causal Inference and Where is Data Science Going?
Speaker: Judea Pearl Professor UCLA Computer Science Department University of California Los Angeles Date and Time:May 27, 2022 @12:00 PM (PST) Presentation slides: idre-may2022.pdf Video recording: https://youtu.be/MNyI1Xkapxg Abstract: The availability of massive amounts of data coupled with an impressive performance of machine learning algorithms has turned data science into one of the most active research areas in academia. UCLA is no exception. The past few years, however, have uncovered basic limitations in the model-free direction that data science…
Find out more »R Graphics: Introduction to ggplot2
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 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 and beautiful graphics. The seminar is meant to be interactive with attendees participating in the coding, so some very basic R coding knowledge is helpful but…
Find out more »Hoffman2 Happy Hour: Running non interactive applications on the Hoffman2 Cluster (batch jobs) + Q&A
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring your computational questions (they do not have to be strictly related to the topic of the week) or just your curiosity. Examples and hands-on components…
Find out more »Boosting Python for High Performance Data Analytics (2) DataFrame Game
While Python becomes the most popular programming language since 2019, data scientists often have a few common complaints about its slow speed and the limited capabilities of handling the big data scenarios. In this workshop series, we will present an extensive discussion on how to improve the performance of Python in data science by looking under the hood of its language/libraries and using the technologies to make Python a practical solution for the high-performance big data analytics. In the second…
Find out more »Getting started with computational text analysis with Python
This workshop will provide a beginner’s introduction to computational text analysis using Python. It will cover the major approaches and opportunities for using computational methods to analyze text. We will use use Python and the NLTK and gensim libraries to explore features of text and perform basic topic modeling. No prior experience required. Activities will utilize web-based platforms; no software installations required. Any questions about this workshop can be emailed to ekoehl@oarc.ucla.edu. Register here: https://ucla.zoom.us/meeting/register/tJ0rc-mrrT0oHNJy4FpLicKCMp_GK3VUwiar
Find out more »Introduction to Survival Analysis in R
Survival analysis models time-to-event outcomes. This workshop introduces usage of the survival package in R for some of the most commonly used survival methods. Topics include data setup, Kaplan-Meier estimates and curves, log-rank tests, fitting the Cox proportional hazards model, assessing the proportional hazards assumption, and modeling time-varying covariates. Experience in both survival analysis and R will be helpful but not necessarily required to follow the workshop material. Any questions about this workshop can be emailed to lin@oarc.ucla.edu. Register here:…
Find out more »Hoffman2 Happy Hour: Working interactively on the Hoffman2 Cluster & monitoring resource utilization +Q&A
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring your computational questions (they do not have to be strictly related to the topic of the week) or just your curiosity. Examples and hands-on components…
Find out more »NFTs: Getting Started in New Digital Markets
NFTs seem to be everywhere now. NFT stands for non fungible tokens. The creation and exchange of NFTs has been revolutionary in many ways, particularly in terms of arts and services markets. For example, in the art market, NFTs use blockchain technology to allow for the secure transfer and proof that an original piece of digital art has been sold and is now in the possession of the buyer. It also allows for what we in art history may refer…
Find out more »Data Visualization with Python II: Making Interactive Plots and Widgets
Python is a very popular language for computational and data science, and it has many powerful capabilities for visualizing data. Data visualization plays an essential role in representing data so that its underlying patterns might be conveyed and understood. The second part of this series will explore various ways that Python can be used to make interactive graphics for exploring data and conceptualizing trends and dependencies. We’ll dive into Python libraries for making interactive widgets, plots, and dashboards (ipywidgets, plotly,…
Find out more »Boosting Python for High Performance Data Analytics (1) Interpreter War
While Python becomes the most popular programming language since 2019, data scientists often have a few common complaints about its slow speed and the limited capabilities of handling the big data scenarios. In this workshop series, we will present an extensive discussion on how to improve the performance of Python in data science by looking under the hood of its language/libraries and using the technologies to make Python a practical solution for high-performance big data analytics. In the first session,…
Find out more »Hoffman2 Happy Hour: Loading and unloading applications via environmental modules (R, anaconda, etc. examples) + Q&A
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring your computational questions (they do not have to be strictly related to the topic of the week) or just your curiosity. Examples and hands-on components…
Find out more »Data Visualization with Python I: Plotting Fundamentals
Python is a very popular language for computational and data science, and it has many powerful capabilities for visualizing data. Data visualization plays an essential role in representing data so that its underlying patterns can be conveyed and understood. 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 libraries for data viz: Matplotlib, Pandas, and Seaborn. We will go through several interactive exercises…
Find out more »Hierarchical Bayesian modeling with applications for spatial environmental data science
IDRE ECR Group is excited to announce the following workshop on Hierarchical Bayesian modeling with applications for spatial environmental data science: Title: Hierarchical Bayesian modeling with applications for spatial environmental data science Date and Time: Friday, May 6, 2022, @9 AM (PST) Recording is available here: https://youtu.be/Ubsns37DD_U Abstract: Effectively addressing pressing environmental problems in the modern era requires flexible analytical approaches capable of leveraging the diverse stream of data resources now available to make a reliable statistical inference. Hierarchical Bayesian…
Find out more »Hoffman2 Happy Hour: Who’s afraid of the command line? + Q&A
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring your computational questions (they do not have to be strictly related to the topic of the week) or just your curiosity. Examples and hands-on components…
Find out more »April 2022
Introduction to Google Cloud Platform. Part 2: Compute engine and practice
Google cloud platform (GCP) is a cloud environment, developed by Google, where users can easily access a wide range of cloud computing services, such as running computational programs, application development or website-hosting. This two-part workshop is intended to help you understand what GCP is about, and how it may provide campus researchers an option to use cloud computing resources. In part 2, you will learn the key component of GCP, the Compute Engine, and know how to use it in…
Find out more »Hoffman2 Happy Hour: Transferring data to and from the Hoffman2 Cluster + Q&A
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring your computational questions (they do not have to be strictly related to the topic of the week) or just your curiosity. Examples and hands-on components…
Find out more »Introduction to Google Cloud Platform. Part 1: Overview
Google cloud platform (GCP) is a cloud environment, developed by Google, where users can easily access a wide range of cloud computing services, such as running computational programs, application development or website-hosting. This two-part workshop is intended to help you understand what GCP is about, and how it may provide campus researchers an option to use cloud computing resources. Part 1 will overview the landscape of GCP and explain how it can assist academic research. Any questions about this workshop…
Find out more »Using Container on HPC resources
This workshop will go over how to use container on HPC resources. Containers are a great way to run scientific software on various HPC platforms. Users can create a ‘virtual’ OS to easily install any application and transfer it to any system with container software. This workshop will cover how to build and use containers to run on HPC resources. We will use many examples of scientific software, such as, Nwchem, R and Rstudio, Python and Jupyter, etc. We will…
Find out more »Hoffman2 Happy Hour: Connecting to the Hoffman2 Cluster via Jupyter Notebooks + Q&A
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring your computational questions (they do not have to be strictly related to the topic of the week) or just your curiosity. Examples and hands-on components…
Find out more »Hoffman2 Happy Hour: Connecting to the Hoffman2 Cluster via a remote desktop + Q&A
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring your computational questions (they do not have to be strictly related to the topic of the week) or just your curiosity. Examples and hands-on components…
Find out more »Hoffman2 Happy Hour: Connecting to the Hoffman2 Cluster via a terminal from a MacOS or Linux computer + Q&A
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring your computational questions (they do not have to be strictly related to the topic of the week) or just your curiosity. Examples and hands-on components…
Find out more »March 2022
Hoffman2 Happy Hour: Using Rstudio Server on Hoffman2 + Q&A
The Hoffman2 Happy Hours Series: Using Rstudio on Hoffman2 is best with a Rstudio Server app. This Happy Hour shows an example of using a Rstudio Server with Singularity/Apptainor. Any questions about this workshop can be emailed to cpeterson@oarc.ucla.edu. Register here: https://ucla.zoom.us/meeting/register/tJwvcOytqjsiGdK5RudPYhsQTrmg4NP8HUqP
Find out more »Hoffman2 Happy Hour: Connecting to the Hoffman2 Cluster via a terminal from a Windows machine + Q&A
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring your computational questions (they do not have to be strictly related to the topic of the week) or just your curiosity. Examples and hands-on components…
Find out more »