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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220426T110000
DTEND;TZID=America/Los_Angeles:20220426T120000
DTSTAMP:20260619T130949
CREATED:20220308T181110Z
LAST-MODIFIED:20220308T181110Z
UID:22815-1650970800-1650974400@idre.ucla.edu
SUMMARY:Hoffman2 Happy Hour: Transferring data to and from the Hoffman2 Cluster + Q&A
DESCRIPTION: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 related to the topic of the week will be part of each meeting. \nAny questions about this workshop can be emailed to dauria@oarc.ucla.edu.  \nRegister here: https://ucla.zoom.us/meeting/register/tJIqfuisqDgoEtxtKkRpBE-wZkKtyVTvSo23
URL:https://idre.ucla.edu/calendar-event/hoffman2-happy-hour-transferring-data-to-and-from-the-hoffman2-cluster-qa
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220421T100000
DTEND;TZID=America/Los_Angeles:20220421T120000
DTSTAMP:20260619T130949
CREATED:20220308T180633Z
LAST-MODIFIED:20220308T180633Z
UID:22813-1650535200-1650542400@idre.ucla.edu
SUMMARY:Introduction to Google Cloud Platform. Part 1: Overview
DESCRIPTION: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. \nAny questions about this workshop can be emailed to hyhuang@oarc.ucla.edu. \nRegister here: https://ucla.zoom.us/meeting/register/tJMod-ivqTIuGNSEURcYvKWxf8qJhTgxQ4AY
URL:https://idre.ucla.edu/calendar-event/introduction-to-google-cloud-platform-part-1-overview
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220420T100000
DTEND;TZID=America/Los_Angeles:20220420T110000
DTSTAMP:20260619T130949
CREATED:20220308T175520Z
LAST-MODIFIED:20220308T175600Z
UID:22803-1650448800-1650452400@idre.ucla.edu
SUMMARY:Using Container on HPC resources
DESCRIPTION: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 work on UCLA’s HPC resource\, Hoffman2 (H2). H2 has the container software\, Apptainer (formerly Singularity) where researchers can run containerize applications. To follow along with the instructor\, a Hoffman2 account will be needed. Also\, it is suggested to have apptainer/singularity on a machine you have admin access (a few examples will also use Docker on these machines as well). \nAny questions about this workshop can be emailed to cpeterson@oarc.ucla.edu. \nRegister here: https://ucla.zoom.us/meeting/register/tJEof–tqDkvGt246X0M56GXudjFp5lcc54v
URL:https://idre.ucla.edu/calendar-event/using-container-on-hpc-resources
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220419T110000
DTEND;TZID=America/Los_Angeles:20220419T120000
DTSTAMP:20260619T130949
CREATED:20220308T175130Z
LAST-MODIFIED:20220308T175939Z
UID:22801-1650366000-1650369600@idre.ucla.edu
SUMMARY:Hoffman2 Happy Hour: Connecting to the Hoffman2 Cluster via Jupyter Notebooks + Q&A
DESCRIPTION: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 related to the topic of the week will be part of each meeting. \nAny questions about this workshop can be emailed to dauria@oarc.ucla.edu. \nRegister here: https://ucla.zoom.us/meeting/register/tJcpcuCqqzgsEtySLK1FG7KXxfQd-anXksU_
URL:https://idre.ucla.edu/calendar-event/hoffman2-happy-hour-connecting-to-the-hoffman2-cluster-via-jupyter-notebooks-qa
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220412T110000
DTEND;TZID=America/Los_Angeles:20220412T120000
DTSTAMP:20260619T130949
CREATED:20220308T174833Z
LAST-MODIFIED:20220308T175911Z
UID:22799-1649761200-1649764800@idre.ucla.edu
SUMMARY:Hoffman2 Happy Hour: Connecting to the Hoffman2 Cluster via a remote desktop + Q&A
DESCRIPTION: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 related to the topic of the week will be part of each meeting. \nAny questions about this workshop can be emailed to dauria@oarc.ucla.edu. \nRegister here: https://ucla.zoom.us/meeting/register/tJckd-2opzwuHtYo_1b6A1Q9-XiXUeo8waxp
URL:https://idre.ucla.edu/calendar-event/hoffman2-happy-hour-connecting-to-the-hoffman2-cluster-via-a-remote-desktop-qa
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220405T110000
DTEND;TZID=America/Los_Angeles:20220405T120000
DTSTAMP:20260619T130949
CREATED:20220308T173753Z
LAST-MODIFIED:20220901T205551Z
UID:22794-1649156400-1649160000@idre.ucla.edu
SUMMARY:Hoffman2 Happy Hour: Connecting to the Hoffman2 Cluster via a terminal from a MacOS or Linux computer + Q&A
DESCRIPTION: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 related to the topic of the week will be part of each meeting. \nAny questions about this workshop can be emailed to dauria@oarc.ucla.edu. \nRegister here: https://ucla.zoom.us/meeting/register/tJMpc-GrrjgrE9yqgUl4bJ-_-rpHnm9kPWNT
URL:https://idre.ucla.edu/calendar-event/hoffman2-happy-hour-connecting-to-the-hoffman2-cluster-via-a-terminal-from-a-macos-or-linux-computer-qa
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220330T110000
DTEND;TZID=America/Los_Angeles:20220330T120000
DTSTAMP:20260619T130949
CREATED:20220308T172201Z
LAST-MODIFIED:20220901T205437Z
UID:22786-1648638000-1648641600@idre.ucla.edu
SUMMARY:Hoffman2 Happy Hour: Using Rstudio Server on Hoffman2 + Q&A
DESCRIPTION: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. \nAny questions about this workshop can be emailed to cpeterson@oarc.ucla.edu.  \nRegister here: https://ucla.zoom.us/meeting/register/tJwvcOytqjsiGdK5RudPYhsQTrmg4NP8HUqP
URL:https://idre.ucla.edu/calendar-event/hoffman2-happy-hour-using-rstudio-server-on-hoffman2-qa
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220329T110000
DTEND;TZID=America/Los_Angeles:20220329T120000
DTSTAMP:20260619T130949
CREATED:20220308T172924Z
LAST-MODIFIED:20220901T205418Z
UID:22791-1648551600-1648555200@idre.ucla.edu
SUMMARY:Hoffman2 Happy Hour: Connecting to the Hoffman2 Cluster via a terminal from a Windows machine + Q&A
DESCRIPTION: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 related to the topic of the week will be part of each meeting. \nAny questions about this workshop can be emailed to dauria@oarc.ucla.edu. \nRegister here: https://ucla.zoom.us/meeting/register/tJIpfu6qrTIjE9QJ85mvRQJThyZJ8NXomCoH
URL:https://idre.ucla.edu/calendar-event/hoffman2-happy-hour-connecting-to-the-hoffman2-cluster-via-a-terminal-from-a-windows-machine-qa
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220324T100000
DTEND;TZID=America/Los_Angeles:20220324T130000
DTSTAMP:20260619T130949
CREATED:20220311T003918Z
LAST-MODIFIED:20220401T211542Z
UID:22861-1648116000-1648126800@idre.ucla.edu
SUMMARY:Open Science Workshop
DESCRIPTION:IDRE ECR Group is excited to announce Open Science workshop with the following details: \nTitle: Open Science \nDate and Time: Thursday\, March 24\, 2022 @10 AM (PST) \nVideo recordings: Part-1. Part-2 \nAbstract: As the culture and context of academic research evolve with the times\, there is a growing realization of the need and power in adopting open science practices\, methodologies\, technology\, and academic environments which support these changes. Transparency\, data/code/blueprint-sharing\, and modular shared computational infrastructure\, increase the number and quality of research tool sets within reach of nearly any academic entity\, therefore bringing more intellect and effort to bear on burning scientific questions that modern civilization faces as a whole. The workshop will highlight several aspects of open science\, including open hardware\, shared data and code-ecosystem in computationally-empowering cloud environments\, geographically-distributed aggregate-cpu computational infrastructure\, and data resources for precision health research in medical sciences. \nTentative agenda: Thursday\, March 24\, 2022 at 10 AM (PST) \n\n\n\nTime (PST)\nPresentation title (speaker)\n\n\n10:30 AM – 10:40 AM\nWelcome and Introduction\n\n\n10:40 AM – 11:15 AM\nOpen science computing framework – SW/Cloud-environment/Datasets (Julius Buescke/PANGEO)\n\n\n11:15 AM – 11: 25 AM\nBreak\n\n\n11:25 AM – 12:00 PM\nData resources for precision health research (Clara M Lajonchere)\n\n\n12:00 PM – 12:35 PM\nOpen Infrastructure (Frank Wuerthwein/OSG)\n\n\n\n 
URL:https://idre.ucla.edu/calendar-event/open-science-workshop
CATEGORIES:Classes and Workshops,Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220322T110000
DTEND;TZID=America/Los_Angeles:20220322T120000
DTSTAMP:20260619T130949
CREATED:20220308T171615Z
LAST-MODIFIED:20220901T205335Z
UID:22784-1647946800-1647950400@idre.ucla.edu
SUMMARY:Hoffman2 Happy Hour: What is the Hoffman2 Cluster and what it can do for you\, how to get an account + Q&A
DESCRIPTION: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 related to the topic of the week will be part of each meeting. \nAny questions about this workshop can be emailed to dauria@oarc.ucla.edu. \nRegister here: https://ucla.zoom.us/meeting/register/tJYod–upzouHNz90smcsyt93yqe8LneDhD4
URL:https://idre.ucla.edu/calendar-event/hoffman2-happy-hour-what-is-the-hoffman2-cluster-and-what-it-can-do-for-you-how-to-get-an-account-qa
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220308T130000
DTEND;TZID=America/Los_Angeles:20220308T160000
DTSTAMP:20260619T130949
CREATED:20211214T204913Z
LAST-MODIFIED:20220901T205307Z
UID:22550-1646744400-1646755200@idre.ucla.edu
SUMMARY:Introduction to Mediation Models with the PROCESS macro in SPSS
DESCRIPTION:Registration: https://ucla.zoom.us/meeting/register/tJIlcuCpqzwoGt3dCRZ50lDgXWadWKeYfc2r \nThis workshop will introduce the PROCESS Macro in SPSS (written by Andrew Hayes).  Basic models will be demonstrated.  Explanations of the syntax and output will be given\, as well as some tips about reporting such analyses. \n 
URL:https://idre.ucla.edu/calendar-event/introduction-to-mediation-models-with-the-process-macro-in-spss
CATEGORIES:Classes and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220301T130000
DTEND;TZID=America/Los_Angeles:20220301T160000
DTSTAMP:20260619T130949
CREATED:20211214T204435Z
LAST-MODIFIED:20220901T205231Z
UID:22545-1646139600-1646150400@idre.ucla.edu
SUMMARY:Introduction to Generalized Linear Regression Models in R
DESCRIPTION:Registration: https://ucla.zoom.us/meeting/register/tJUud-6uqTwiGtNZEtt6vy5VApsl6AE8BJVM \nIn this workshop we discuss generalized linear models and why and when we need to use them. We will discuss several generalized linear modes such as logistic\, Poisson\, and negative binomial and how we run them in R. The seminar briefly reviews regression concepts as necessary\, but it is assumed that participants have basic understanding of linear regression models (see the Introduction to Regression in R workshop). It also assumed that participants have basic familiarity with R (see the Introduction to R seminar for a tutorial).
URL:https://idre.ucla.edu/calendar-event/introduction-to-generalized-linear-regression-models-in-r
CATEGORIES:Classes and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220225T140000
DTEND;TZID=America/Los_Angeles:20220225T153000
DTSTAMP:20260619T130949
CREATED:20211214T204343Z
LAST-MODIFIED:20220901T205155Z
UID:22543-1645797600-1645803000@idre.ucla.edu
SUMMARY:Scientific Visualization with Paraview
DESCRIPTION:Paraview is an open-source cross-platform program for interactive scientific visualization. Paraview can run as a stand-alone visualization tool\, as well as in a client-server fashion for remote visualization. In this tutorial\, we will explore the visualization pipeline and basic features in Paraview. We will show how to prepare data files from scratch. We will demonstrate how to use Paraview’s remote visualization capability\, in which the Paraview graphical user interface is run on the user’s computer while the data sets reside on a remote HPC cluster\, using Hoffman2 Cluster as an example. \nRegistration: https://ucla.zoom.us/meeting/register/tJErc–vrz0pGdOZeogIJm-pLrJOIqaDR3M1
URL:https://idre.ucla.edu/calendar-event/scientific-visualization-with-paraview
CATEGORIES:Classes and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220225T113000
DTEND;TZID=America/Los_Angeles:20220225T123000
DTSTAMP:20260619T130949
CREATED:20220210T193439Z
LAST-MODIFIED:20220226T092741Z
UID:22725-1645788600-1645792200@idre.ucla.edu
SUMMARY:Creating a Comprehensive Lexical Resource for English Using Bayesian Deep Learning and Missing Data Methodology
DESCRIPTION:  \n \n  \nSpeaker: Bryor Snefjella\, Ph.D.\nIDRE Scholar\,\nPsychology Department\,\nUniversity of California Los Angeles \nVideo Recording: https://youtu.be/RTpW1-FtBGs \n  \nAbstract: Inquiry in the language sciences makes extensive use of open-source data sets. For example\, data sets of hand-annotations of words for properties such as their connotation and familiarity. Other common types of open-source resources include behavioural or neuroimageing recordings of responses to linguistic stimuli in controlled experiments\, or measurements taken from massive respositories of digitized natural language use. A challenge in the language sciences is extensive missing data in extant open-source data sets. Most data sets contain information on orders of magnitude fewer words than an average speaker knows\, and the words they do contain are non-randomly sampled and non-overlapping. A commonly proposed remedy to this missing data is to replace hand-annotation with machine learning. This is the approach taken by the English Lexicon Imputation Project\, the first comprehensive resource of word-level annotations created in cognitive science. In this talk I present the resource\, the Bayesian deep neural network used to create it\, and how missing data methodology was key to overcoming the limitations of prior literature on computational linguistic resource generation. The talk should be of interest to computational social scientists\, language scientists\, and those interested in deep-learning and missing data methods. \nAbout speaker: Bryor Snefjella is a postdoctoral researcher in the Psychology Department\, Cognitive Area\, mentored by Idan Blank\, Keith Holyoak\, and Hongjing Lu. Before moving to UCLA\, Bryor received a PhD in Cognitive Science of Language in McMaster University in Canada. His research on language use patterns in social media has received international media attention. Check him out on his personal website\, Twitter\, Linkedin\, and Research Gate.
URL:https://idre.ucla.edu/calendar-event/bryor-snefjella-feb25-22
CATEGORIES:Conferences and Seminars,Meetings
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220225T100000
DTEND;TZID=America/Los_Angeles:20220225T120000
DTSTAMP:20260619T130949
CREATED:20211214T204231Z
LAST-MODIFIED:20220901T205128Z
UID:22541-1645783200-1645790400@idre.ucla.edu
SUMMARY:Learning Generative Adversarial Networks
DESCRIPTION:Workshop will be conducted in Zoom in PST time. Please Register here in advance for this lecture. \n\nThis workshope will the introduction to Generative Adversarial Networks (GANs). We will illustrate the fundamental GAN techniques on how to use DCGANs to generate do images using PyTorch. The knowledge of topics covered in the previous sessions is assumed. Working experience of Python\, Jupyter Notebooks and linear algebra will be helpful. \nTo register: https://ucla.zoom.us/meeting/register/tJcqc-6orjgtGdJQju538rp_SyhqQsUPdduI \nAfter registering\, you will receive a confirmation email containing information about joining the meeting. \nIf you have any further questions regarding the workshop\, please contact instructor Qiyang Hu.
URL:https://idre.ucla.edu/calendar-event/learning-generative-adversarial-networks
CATEGORIES:Classes and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220223T100000
DTEND;TZID=America/Los_Angeles:20220223T120000
DTSTAMP:20260619T130949
CREATED:20220222T212201Z
LAST-MODIFIED:20220901T205017Z
UID:22745-1645610400-1645617600@idre.ucla.edu
SUMMARY:Running Applications on the Hoffman2 Cluster\, Part III
DESCRIPTION: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 your workflow to Hoffman2 and how to submit batch and run interactive applications. While the three seminars are designed as a series\, each of the seminars stands on its own and does not require attendance to the preceding one. \nPart III addresses how to submit specific workflow classes such as array jobs and to monitor resource utilization. It looks into how to request GPU and run a variety of applications on them including machine learning. A questionnaire will be distributed beforehand to tailor the class as much as possible to the needs of the attendees. \nRegister here: https://ucla.zoom.us/meeting/register/tJEvdu6upjMpHdDV4Byhjcz8FaCR7B8A6OH3.
URL:https://idre.ucla.edu/calendar-event/running-applications-on-the-hoffman2-cluster-part-iii
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220222T130000
DTEND;TZID=America/Los_Angeles:20220222T160000
DTSTAMP:20260619T130949
CREATED:20211214T204119Z
LAST-MODIFIED:20220901T204850Z
UID:22539-1645534800-1645545600@idre.ucla.edu
SUMMARY:Stata Data Management
DESCRIPTION:Registration: https://ucla.zoom.us/meeting/register/tJIpf–rrj4vE9DWH23IkyLvjjrk-md-hwYe \nThis workshop covers Stata commands and methods for common data management tasks\, such as identifying data errors\, identifying duplicated data\, specifying missing values\, working with string variables\, labeling variables\, creating new variables\, merging datasets\, processing data by groups\, and using loops for repetitive tasks.  The workshop is focused on preparing data for statistical analysis.
URL:https://idre.ucla.edu/calendar-event/stata-data-management-2
CATEGORIES:Classes and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220218T100000
DTEND;TZID=America/Los_Angeles:20220218T120000
DTSTAMP:20260619T130949
CREATED:20211214T204022Z
LAST-MODIFIED:20220901T204819Z
UID:22537-1645178400-1645185600@idre.ucla.edu
SUMMARY:Learning Convolutional Neural Networks (2)
DESCRIPTION:Workshop will be conducted in Zoom in PST time. Please Register here in advance for this lecture. \n\nThis workshope will be the second lecture on the introduction to convolutional neural network. We will continue our learning on how to apply data augmentation and transfer learning techniques to get a better solution for the classic Dogs-vs-Cats problem using PyTorch. The knowledge of topics covered in the previous sessions is assumed. Working experience of Python\, Jupyter Notebooks and linear algebra will be helpful. \nTo register: https://ucla.zoom.us/meeting/register/tJ0od-usrz8rHNNJR69SESkwcsqctmkZUzVj \nAfter registering\, you will receive a confirmation email containing information about joining the meeting. \nIf you have any further questions regarding the workshop\, please contact instructor Qiyang Hu.
URL:https://idre.ucla.edu/calendar-event/learning-convolutional-neural-networks-2
CATEGORIES:Classes and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220216T100000
DTEND;TZID=America/Los_Angeles:20220216T120000
DTSTAMP:20260619T130949
CREATED:20220106T173957Z
LAST-MODIFIED:20220901T204715Z
UID:22570-1645005600-1645012800@idre.ucla.edu
SUMMARY:Running Applications on the Hoffman2 Cluster\, Part II
DESCRIPTION:Registration link: https://ucla.zoom.us/meeting/register/tJIvd-igpjMiGNVkod90GFNhBTuT7pwRfj5- \n\n\n\n\nThe 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 your workflow to Hoffman2 and how to submit batch and run interactive applications.\nPart II addresses specific workflow classes such as: serial\, multi core\, parallel and array job submissions. It addresses the process of creating MATLAB standalone executables and running MATLAB in batch. Example of how to submit array jobs using MATLAB\, Abaqus\, R and other applications are discussed\, with hands on demonstration of various types of job submissions. While the three seminars are designed as a series\, each of the seminars stands on its own and does not require attendance to the preceding one.\n\n\n\n\nAfter registering\, you will receive a confirmation email containing information about joining the seminar.
URL:https://idre.ucla.edu/calendar-event/running-applications-on-the-hoffman2-cluster-part-ii-3
CATEGORIES:Classes and Workshops,Education and Training,Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220215T130000
DTEND;TZID=America/Los_Angeles:20220215T160000
DTSTAMP:20260619T130949
CREATED:20211214T203907Z
LAST-MODIFIED:20220901T204650Z
UID:22535-1644930000-1644940800@idre.ucla.edu
SUMMARY:R Markdown Basics
DESCRIPTION:Registration: https://ucla.zoom.us/meeting/register/tJwpd-uoqDIvG91UKYByaA-7Xcbn4V38rA1k \nR 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 workshop covers basic coding and conventions of the three frameworks upon which R Markdown depends:  Markdown for formatting text\, knitr for R code chunks\, and YAML for rendering the document.  The workshop does not assume any previous experience with R Markdown\, but attendees who wish to participate in seminar demonstrations should come with RStudio and R Markdown installed on their computers.
URL:https://idre.ucla.edu/calendar-event/r-markdown-basics-3
CATEGORIES:Classes and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220211T140000
DTEND;TZID=America/Los_Angeles:20220211T170000
DTSTAMP:20260619T130949
CREATED:20211214T203759Z
LAST-MODIFIED:20220106T172339Z
UID:22533-1644588000-1644598800@idre.ucla.edu
SUMMARY:Practical Parallel Computing 3: Introduction to PETSc
DESCRIPTION:MPI (Message Passing Interface) is a standardized interface for portable distributed-memory scientific parallel computing. The portability ensures that a properly-written\, standard-conforming MPI program can work the same way on different platforms ranging from laptop computers to massively parallel supercomputers. MPI has been widely used in advanced simulations\, data analysis and visualization in the last two decades. A typical MPI program would launch as a set of processes distributed across multiple CPU cores or compute nodes. Each process would perform a part of the computations; the processes communicate with each other as needed (by making MPI function calls). The communication is transparently controlled by the user code\, and the processes are managed by the MPI runtime system\, which can also be controlled by the user. This series of workshop aims to introduceing MPI for scientific computing from a user’s perspective: \n– Part 1 (January 21\, 2022)\, running MPI programs\, explores various aspects of the MPI runtime/process management system\, and how it interacts with the job scheduler of a HPC cluster. We will cover both Intel MPI/MPICH and OpenMPI libraries\, and use Hoffman2 cluster as a target machine. Given a MPI program (either your own code\, or a community/research code)\, what are the things that you can adjust/control in order to run the code “optimally” on the target machine? \n– Part 2 (January 28\, 2022)\, MPI programming\, focuses on how to write (basic) MPI programs. We will discuss the basic send/receive MPI communication mechanisms and explore their connections to select problems in scientific computing. We will show examples of calling MPI from different languages\, including Fortran\, C/C++\, Python and Julia. \n– Part 3 (February 11\, 2022)\, Introduction to PETSc\, will discuss the PETSc library\, which is built on top of MPI\, among other things\, as a way to simplify MPI programming for scientific computing. We will explore the built-in data structures and solvers in PETSc and show how to build MPI/PETSc programs that are easier to maintain and develop than “plain” MPI programs. \nThis is Part 3 of a 3-part series. \nRegistration: https://ucla.zoom.us/meeting/register/tJwpdu2ppzgqG9CSWGjWV26ognThi_MjFn3S
URL:https://idre.ucla.edu/calendar-event/practical-parallel-computing-3-introduction-to-petsc
LOCATION:Zoom
CATEGORIES:Classes and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220211T100000
DTEND;TZID=America/Los_Angeles:20220211T123000
DTSTAMP:20260619T130949
CREATED:20211214T203652Z
LAST-MODIFIED:20220901T203610Z
UID:22531-1644573600-1644582600@idre.ucla.edu
SUMMARY:Learning Convolutional Neural Networks (1)
DESCRIPTION:Workshop will be conducted in Zoom in PST time. Please Register here in advance for this lecture. \n\nThis workshope will be an introduction on convolutional neural network. We will start our learning on how to use PyTorch to do image processing for classic Dogs-vs-Cats problem. The knowledge of topics covered in the previous sessions is assumed. Working experience of Python\, Jupyter Notebooks and linear algebra will be helpful. \nTo register: https://ucla.zoom.us/meeting/register/tJMpde6pqTgsHNYBPoJmhNelXw3PeHH4AWzT \nAfter registering\, you will receive a confirmation email containing information about joining the meeting. \nIf you have any further questions regarding the workshop\, please contact instructor Qiyang Hu.
URL:https://idre.ucla.edu/calendar-event/learning-convolutional-neural-networks-1
CATEGORIES:Classes and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220209T100000
DTEND;TZID=America/Los_Angeles:20220209T120000
DTSTAMP:20260619T130949
CREATED:20220106T173820Z
LAST-MODIFIED:20220901T203519Z
UID:22568-1644400800-1644408000@idre.ucla.edu
SUMMARY:Running Applications on the Hoffman2 Cluster\, Part I
DESCRIPTION:Registration link: https://ucla.zoom.us/meeting/register/tJYqc-6rqz0qGdCvJuus9bUKV2xVtQHZQnHu \n\nThe 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 your workflow to Hoffman2 and how to submit batch jobs and run interactive applications.\nThis introductory workshop addresses the specifics of the Hoffman2 Cluster set-up\, it provides a survival guide on how to use the existing documentation\, how to navigate the unix command prompt and how to submit a variety of tasks for interactive or batch execution. It provides in class demonstrations on how to connect to the cluster via the traditional unix shell and how to run jupyter notebooks on the Hoffman2 Cluster. It introduces users to loading applications via environmental modules and how to find/install/run needed applications. \n\nAfter registering\, you will receive a confirmation email containing information about joining the seminar. \n 
URL:https://idre.ucla.edu/calendar-event/running-applications-on-the-hoffman2-cluster-part-i-3
CATEGORIES:Classes and Workshops,Education and Training,Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220209T090000
DTEND;TZID=America/Los_Angeles:20220209T110000
DTSTAMP:20260619T130949
CREATED:20211211T002932Z
LAST-MODIFIED:20220901T203431Z
UID:22483-1644397200-1644404400@idre.ucla.edu
SUMMARY:Introduction to Remote Sensing with Python
DESCRIPTION:Landsat imagery of the 2020 Bobcat wildfire generated using Python \nRegister here \nSatellites are circling our planet\, allowing us to “sense” things about the Earth. It is the art and science of making measurements using sensors. Remote sensing has thus become a valuable tool in research and applications in a wide range of disciplines\, such as engineering\, geology\, geography\, urban planning\, public health\, archeology\, environmental studies\, disaster research\, forestry\, and agriculture. \nIn this workshop\, you will: \n\nlearn the basic principles of remote sensing methods in research\nhave a hands-on session on using Jupyter Notebooks to code in Python\nimport Landsat imagery using Google Earth Engine’s Python library\nconduct a basic NDVI (Normalized Difference Vegetation Index) analysis\n\nWhile there are no prerequisites to take this workshop\, participants are encouraged to come with a Google Earth Engine account\, which can be obtained here: \nhttps://earthengine.google.com/
URL:https://idre.ucla.edu/calendar-event/introduction-to-remote-sensing-with-python
CATEGORIES:Classes and Workshops
ATTACH;FMTTYPE=image/png:https://idre.ucla.edu/wp-content/uploads/2021/12/remote2.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220203T100000
DTEND;TZID=America/Los_Angeles:20220203T120000
DTSTAMP:20260619T130949
CREATED:20211214T203509Z
LAST-MODIFIED:20220901T203326Z
UID:22529-1643882400-1643889600@idre.ucla.edu
SUMMARY:Converting plots from Matlab to Python/matplotlib
DESCRIPTION:This workshop will introduce how to use Python/matplotlib and other packages to generate data visualization and animation for publications or presentations. We will discuss plotting functions and techniques available in both Matlab and Python to handle and customize your graphics in practice. The materials include simple 2D/3D plots to present scalers and vectors\, filled plots to handle continuously spatial data\, geographic plots to deal with geographic information\, and animation to show variation in temporal data. We will also include the methods to save figures in specific file formats and resolutions. \nRegistration: https://ucla.zoom.us/meeting/register/tJUuce2grj4pHdf-QP7rwgcxHpwaF_A06_jh
URL:https://idre.ucla.edu/calendar-event/converting-plots-from-matlab-to-python-matplotlib
CATEGORIES:Classes and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220128T140000
DTEND;TZID=America/Los_Angeles:20220128T153000
DTSTAMP:20260619T130949
CREATED:20211214T203335Z
LAST-MODIFIED:20220106T172025Z
UID:22527-1643378400-1643383800@idre.ucla.edu
SUMMARY:Practical Parallel Computing 2: MPI Programming
DESCRIPTION:MPI (Message Passing Interface) is a standardized interface for portable distributed-memory scientific parallel computing. The portability ensures that a properly-written\, standard-conforming MPI program can work the same way on different platforms ranging from laptop computers to massively parallel supercomputers. MPI has been widely used in advanced simulations\, data analysis and visualization in the last two decades. A typical MPI program would launch as a set of processes distributed across multiple CPU cores or compute nodes. Each process would perform a part of the computations; the processes communicate with each other as needed (by making MPI function calls). The communication is transparently controlled by the user code\, and the processes are managed by the MPI runtime system\, which can also be controlled by the user. This series of workshop aims to introduceing MPI for scientific computing from a user’s perspective: \n– Part 1 (January 21\, 2022)\, running MPI programs\, explores various aspects of the MPI runtime/process management system\, and how it interacts with the job scheduler of a HPC cluster. We will cover both Intel MPI/MPICH and OpenMPI libraries\, and use Hoffman2 cluster as a target machine. Given a MPI program (either your own code\, or a community/research code)\, what are the things that you can adjust/control in order to run the code “optimally” on the target machine? \n– Part 2 (January 28\, 2022)\, MPI programming\, focuses on how to write (basic) MPI programs. We will discuss the basic send/receive MPI communication mechanisms and explore their connections to select problems in scientific computing. We will show examples of calling MPI from different languages\, including Fortran\, C/C++\, Python and Julia. \n– Part 3 (February 11\, 2022)\, Introduction to PETSc\, will discuss the PETSc library\, which is built on top of MPI\, among other things\, as a way to simplify MPI programming for scientific computing. We will explore the built-in data structures and solvers in PETSc and show how to build MPI/PETSc programs that are easier to maintain and develop than “plain” MPI programs. \nThis is Part 2 of a 3-part series. \nRegistration: https://ucla.zoom.us/meeting/register/tJYvc-mhrzMjHNAY0Vm2QbKcCrt7CXMvhsuP
URL:https://idre.ucla.edu/calendar-event/practical-parallel-computing-2-mpi-programming
LOCATION:Zoom
CATEGORIES:Classes and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220128T113000
DTEND;TZID=America/Los_Angeles:20220128T123000
DTSTAMP:20260619T130949
CREATED:20220125T202545Z
LAST-MODIFIED:20220208T020508Z
UID:22623-1643369400-1643373000@idre.ucla.edu
SUMMARY:Phenological responses of North American birds to global change: Ecology in the age of big data
DESCRIPTION:Speaker: Casey Youngflesh\nIDRE Scholar\,\nDepartment of Ecology and Evolutionary Biology\,\nUniversity of California Los Angeles \n  \nTime: 11:30 AM – 12:30 PM (PST)\nDate: Jan 28\, 2022\nLocation: Zoom (RSVP here for the link) \n  \nAbstract: Rapid abiotic environmental change is driving a multitude of shifts in natural systems across the Earth. One of the most pronounced responses to these pressures is changes in the timing of seasonal events\, known as phenology. With warming temperatures\, phenological events in spring are generally getting earlier over time\, stimulating concerns that ecological interactions are becoming increasingly mismatched in time. However\, much remains unknown\, particularly with regard to how these changes vary over space and across species\, and what the ecological consequences of these changes are. Research efforts in this regard have been hampered by the limited spatial and taxonomic resolution of traditional data resources. Using a set of flexible hierarchical Bayesian statistical modeling approaches to integrate millions of data records from community-sourced data platforms\, continent-scale bird banding projects\, and satellite-based sensors\, we characterized how the phenology of dozens of forest dwelling birds across North America is responding to global change. We estimated how species’ sensitivity to these changes varies over space and among species as well as the demographic impacts of these changes. We find that the phenology of most species is not keeping pace with environmental change\, but that some species may be better equipped to accommodate these changes. Importantly\, results show that phenology has important implications for the breeding productivity of these species’\, with years where breeding occurs too early or too late relative to the arrival of spring is associated with lower breeding output. Results from this study\, facilitated by analytical pipelines that integrate a collection of both opportunistic and structured data resources\, stand as one of the largest-scale demonstrations of the importance of phenology for demographic processes\, with important implications for understanding the drivers of recent large-scale declines in North American birds over the last 50 years. \nAbout the speaker: Casey Youngflesh is a quantitative ecologist and postdoc with Morgan Tingley in the Department of Ecology and Evolutionary Biology at UCLA. His research seeks to understand how ecological systems function\, how they are responding to rapid global change\, and what this might tell us about how best to conserve these systems. He has a particular interest in applying quantitative tools to large-scale data derived from a variety of sources\, including citizen science projects\, satellite-based sensors\, remote camera networks\, and field-based efforts. His research efforts have taken him across the world\, from Antarctica to the Galápagos Islands\, though these days he can mostly be found at his computer trying to make sense of his data.
URL:https://idre.ucla.edu/calendar-event/casey-youngflesh
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Meetings,Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220127T110000
DTEND;TZID=America/Los_Angeles:20220127T120000
DTSTAMP:20260619T130949
CREATED:20211214T203127Z
LAST-MODIFIED:20220106T171933Z
UID:22524-1643281200-1643284800@idre.ucla.edu
SUMMARY:Tips to run Matlab on Hoffman2 cluster
DESCRIPTION:In this workshop we will focus on the methods to execute Matlab interactively and run its programs via job scheduler on Hoffman2 cluster. (We will not describe how to write Matlab scripts nor how to use its internal/external functions.) Several methods to launch Hoffman2 Matlab GUI from different operating systems will be discussed\, including the usage of Jupyter notebook from a local web browser. We will also discuss the how to write simple job submission scripts to run Matlab codes. \nRegistration: https://ucla.zoom.us/meeting/register/tJcvduCorDsjHdQJvAlODUl2ivHNYlee5alP
URL:https://idre.ucla.edu/calendar-event/tips-to-run-matlab-on-hoffman2-cluster
LOCATION:Zoom
CATEGORIES:Classes and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220127T090000
DTEND;TZID=America/Los_Angeles:20220127T110000
DTSTAMP:20260619T130949
CREATED:20220106T173320Z
LAST-MODIFIED:20220106T173320Z
UID:22566-1643274000-1643281200@idre.ucla.edu
SUMMARY:Make and Makefiles
DESCRIPTION:Description coming soon. \nRegister in advance:  Please REGISTER using the Zoom Meeting Link before joining! \nIf you have any questions regarding this event\, please contact Ben Winjum.
URL:https://idre.ucla.edu/calendar-event/make-and-makefiles-2
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220121T140000
DTEND;TZID=America/Los_Angeles:20220121T153000
DTSTAMP:20260619T130949
CREATED:20211214T202857Z
LAST-MODIFIED:20220106T171817Z
UID:22521-1642773600-1642779000@idre.ucla.edu
SUMMARY:Practical Parallel Computing 1: Running MPI Programs
DESCRIPTION:MPI (Message Passing Interface) is a standardized interface for portable distributed-memory scientific parallel computing. The portability ensures that a properly-written\, standard-conforming MPI program can work the same way on different platforms ranging from laptop computers to massively parallel supercomputers. MPI has been widely used in advanced simulations\, data analysis and visualization in the last two decades. A typical MPI program would launch as a set of processes distributed across multiple CPU cores or compute nodes. Each process would perform a part of the computations; the processes communicate with each other as needed (by making MPI function calls). The communication is transparently controlled by the user code\, and the processes are managed by the MPI runtime system\, which can also be controlled by the user. This series of workshop aims to introduceing MPI for scientific computing from a user’s perspective: \n– Part 1 (January 21\, 2022)\, running MPI programs\, explores various aspects of the MPI runtime/process management system\, and how it interacts with the job scheduler of a HPC cluster. We will cover both Intel MPI/MPICH and OpenMPI libraries\, and use Hoffman2 cluster as a target machine. Given a MPI program (either your own code\, or a community/research code)\, what are the things that you can adjust/control in order to run the code “optimally” on the target machine? \n– Part 2 (January 28\, 2022)\, MPI programming\, focuses on how to write (basic) MPI programs. We will discuss the basic send/receive MPI communication mechanisms and explore their connections to select problems in scientific computing. We will show examples of calling MPI from different languages\, including Fortran\, C/C++\, Python and Julia. \n– Part 3 (February 11\, 2022)\, Introduction to PETSc\, will discuss the PETSc library\, which is built on top of MPI\, among other things\, as a way to simplify MPI programming for scientific computing. We will explore the built-in data structures and solvers in PETSc and show how to build MPI/PETSc programs that are easier to maintain and develop than “plain” MPI programs. \nThis is Part 1 of a 3-part series. \nRegistration: https://ucla.zoom.us/meeting/register/tJArdOivrTwvG9fq8niOtdDXf3xQqXvT3sVi
URL:https://idre.ucla.edu/calendar-event/practical-parallel-computing-1-running-mpi-programs
LOCATION:Zoom
CATEGORIES:Classes and Workshops
END:VEVENT
END:VCALENDAR