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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20241108T100000
DTEND;TZID=America/Los_Angeles:20241108T120000
DTSTAMP:20260604T061132
CREATED:20230908T164914Z
LAST-MODIFIED:20240820T173625Z
UID:24251-1731060000-1731067200@idre.ucla.edu
SUMMARY:Hoffman2 Happy Hours: Running Jupyter Notebooks on the Hoffman2 Cluster
DESCRIPTION:How to connect to the Hoffman2 Cluster via Jupyter / how to run python\, R\, Julia\, bash\, etc. notebooks / creating interactive presentations / running jupyter notebooks in python or anaconda environments \n  \nQuestions about this workshop can be directed to Raffaella D’Auria (dauria@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJYvdOuuqz8uH9BM1CVoJkPjIOJ5Kiim5qBq 
URL:https://idre.ucla.edu/calendar-event/hoffman2-happy-hours-running-jupyter-notebooks-on-the-hoffman2-cluster
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240731T080000
DTEND;TZID=America/Los_Angeles:20240801T140000
DTSTAMP:20260604T061132
CREATED:20240702T215957Z
LAST-MODIFIED:20240709T171325Z
UID:25071-1722412800-1722520800@idre.ucla.edu
SUMMARY:Workshop on Machine Learning and Big Data
DESCRIPTION: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. \nThis 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 (WAC) training platform in OARC Portal (5628 Math Science Building). \nRegistration: \nInterested applicants must first have an ACCESS ID.  If you do not have an ACCESS ID\, please visit this page to create one: \nACCESS USER REGISTRATION \nOnce you have an ACCESS ID\, please send an email (indicating your ACCESS ID and which site you wish to attend) to Tom Maiden at tmaiden@psc.edu by Friday\, July 26\, at Noon Eastern time. \nFurther details will be provided once your registration has been processed. \n  \nTentative Agenda: \nDay – 1:\n \n\n\n\nWednesday\, July 31\, 2024\nAll times given are Pacific\n\n\n08:00 AM\nWelcome\n\n\n08:25 AM\nA Brief History of Big Data\n\n\n09:20 AM\nIntro to Spark\n\n\n10:00 AM\nLunch Break\n\n\n11:00 AM\nMore Spark and Exercises\n\n\n02:00 PM\nIntro to Machine Learning\n\n\n02:00 PM\nAdjourn\n\n\n\nDay – 2: \n\n\n\nThursday\, August 1\, 2024\nAll times given are Pacific\n\n\n08:00 AM\nMachine Learning: Recommender System with Spark\n\n\n10:00 AM\nLunch break\n\n\n11:00 AM\nDeep Learning with TensorFlow\n\n\n02:00 PM\nTying it All Together\n\n\n02:30 PM\nAdjourn\n\n\n\n\n\nNote: Please visit the PSC’s website for details about the agenda. You are also welcome to contact tvsingh@ucla.edu if you have any questions about this workshop at UCLA.
URL:https://idre.ucla.edu/calendar-event/workshop-on-machine-learning-and-big-data
CATEGORIES:Classes and Workshops,Education and Training,Training workshop / Tutorial
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240328T113000
DTEND;TZID=America/Los_Angeles:20240328T123000
DTSTAMP:20260604T061132
CREATED:20240308T010052Z
LAST-MODIFIED:20240401T194223Z
UID:24846-1711625400-1711629000@idre.ucla.edu
SUMMARY:Interacting Dynamical System Modeling for Science: Construction\, Generalization\, and Applications
DESCRIPTION:Speaker: Xiao Luo\, Ph.D.\nIDRE Fellow\nDepartment of Computer Science\nUniversity of California Los Angeles   Time: 11:30 AM – 12:30 PM (PST)\nDate: March 28\, 2024 \nLink to the recording: https://youtu.be/0_WwPe-kV-Q\n\n\n\n\nAbstract: 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 each other and exhibit complex behavior along the time. In this talk\, I will discuss my current research on interacting dynamics system modeling for scientific problems\, especially focusing on model construction and model generalization. I will begin by discussing my work on graph ODEs for efficiently capturing continuous high-order correlations. Then\, I will discuss different types of distribution shifts in dynamical system modeling and how to address them to improve the generalization ability. Finally\, I will introduce future research directions in the field of dynamical system modeling. \nAbout the speaker: Dr. Xiao Luo is a postdoctoral researcher at UCLA’s Department of Computer Science. Previously\, he received a B.S. degree in Mathematics from Nanjing University\, Nanjing\, China\, in 2017 and a Ph.D. in the School of Mathematical Sciences from Peking University\, Beijing\, China in 2022. His research interests include machine learning on graphs\, dynamical systems\, statistical models\, and AI for Science.
URL:https://idre.ucla.edu/calendar-event/ecr-march-28-2024
CATEGORIES:Conferences and Seminars,Education and Training,Meetings,Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240315T113000
DTEND;TZID=America/Los_Angeles:20240315T123000
DTSTAMP:20260604T061132
CREATED:20240306T015538Z
LAST-MODIFIED:20240306T015811Z
UID:24837-1710502200-1710505800@idre.ucla.edu
SUMMARY:ACCESS – Advanced computing systems and services for university researchers
DESCRIPTION:RSVP link: https://ucla.zoom.us/meeting/register/tJwrcuiprj8pEtb0HFIN3H1PdxN-B6_IkDps \nThe 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 “free” computing cycles at scale\, storage\, and other services. These resources are available through an application process based on the merit of the research objectives and demonstration of the efficacy and parallel scalability of the software. \nThis presentation aims to explain the capabilities of various computing facilities under the ACCESS program. The discussion will also discuss how a UCLA researcher can transition from local computing systems to take advantage of the “free” advanced computing and data resources.
URL:https://idre.ucla.edu/calendar-event/access-program-march-15-2024
CATEGORIES:Education and Training,Meetings,Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240307T090000
DTEND;TZID=America/Los_Angeles:20240307T163000
DTSTAMP:20260604T061132
CREATED:20240305T063602Z
LAST-MODIFIED:20240305T063602Z
UID:24830-1709802000-1709829000@idre.ucla.edu
SUMMARY:Building a Database of Recorded Music Data for Analysis\, Research\, and Access - Developing the Database of Recorded Jewish Music (DRJM)
DESCRIPTION:Agenda: \n\n\n\n9:00 – 10:30 \nAddressing the Archive: Current State of Jewish Music Archives in the U.S \nTodd Presner\, UCLA: Chair and Opening Remarks \nJudy Pinnolis\, Berklee: An Overview of Academic Issues in Jewish Music Sound Recording Collections \nLorin Sklamberg\, YIVO Institute: Issues and Challenges Digitizing the YIVO Sound Archives \nSharon Benamou\, UCLA: Acquisitions and Cataloging Considerations in the UCLA Judaica Collectio \n\n\n10:30 – 10:45 \nBreak \n\n\n\n10:45 – 11:30 \nIntroducing the Database of Recorded Jewish Music (DRJM) \nMark Kligman\, UCLA: Project Origins\, Overarching Goals and Questions \nJeff Janeczko\, Milken Archive/UCLA: Pilot Study—Visualizing the Milken Archive \nDanielle Stein\, UCLA: Aggregating the Archives—Tableau as Tool for Research and Analysis \n\n\n11:30 – 12:15 \nPanel Response to the DRJM Introduction \nChair: Thomas Hodgson\, UCLA \nRandall Goldberg\, Cal State Fullerton \nMatthew Vest\, UCLA \nFrancesco Spagnolo\, UC Berkeley \nSam Brylawski\, UC Santa Barbara\, Library of Congress \n\n\n12:15 – 1:15 \nLunch (provided for invited participants) \n\n\n\n1:15 – 3:15 \nHands-on Workshop \nParticipants will create their own Tableau worksheets and dashboards using a predetermined subset of data from the DRJM. \nFacilitated by: Anna Bonazzi\, Jordan Galczynski\, and Wei Si Nic Yiu. \n\n\n3:15 – 3:30 \nBreak \n\n\n\n3:30 – 4:30 \nClosing Remarks and Discussion \nModerator: Sam Brylawski\, UC Santa Barbara\, Library of Congress \nMark Kligman\, UCLA \nJeff Janeczko\, Milken Archive/UCLA \nDanielle Stein\, UCLA 
URL:https://idre.ucla.edu/calendar-event/addressing-archive-03-07-2024
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231206T100000
DTEND;TZID=America/Los_Angeles:20231206T120000
DTSTAMP:20260604T061132
CREATED:20230908T164917Z
LAST-MODIFIED:20230908T173849Z
UID:24257-1701856800-1701864000@idre.ucla.edu
SUMMARY:Hoffman2 Happy Hours: Running array jobs on the Hoffman2 Cluster / Running jobs on GPU nodes
DESCRIPTION: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 / The Hoffman2 Cluster number of GPU nodes is growing\, how to run on these nodes and what they can do for you. \n  \nAny questions about this workshop can be emailed to Raffaella D’Auria (dauria@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJYsd-qpqTkpHNdZ6M8xesWm6tpmIhnrbFmj
URL:https://idre.ucla.edu/calendar-event/hoffman2-happy-hours-running-array-jobs-on-the-hoffman2-cluster-running-jobs-on-gpu-nodes
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231129T113000
DTEND;TZID=America/Los_Angeles:20231129T130000
DTSTAMP:20260604T061132
CREATED:20230908T164917Z
LAST-MODIFIED:20230908T173904Z
UID:24256-1701257400-1701262800@idre.ucla.edu
SUMMARY:Harnessing the Power of HPC for Machine Learning: Tools and Techniques
DESCRIPTION: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 financial analytics. Tailored for data scientists\, ML engineers\, researchers\, and students keen on mastering the art of parallel computing\, this workshop will be a nexus where data meets speed and precision. With a foundation in Python and/or R programming and basic ML concepts\, attendees will emerge well-equipped to harness the computational prowess of HPC environments for tackling complex\, data-intensive problems\, setting a new benchmark in scientific and business analytics. \nQuestions about this workshop can be sent to Charles Peterson (cpeterson@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJMlfuGuqTsjGNJqgmYo4O1-xES91X3vZH_l
URL:https://idre.ucla.edu/calendar-event/harnessing-the-power-of-hpc-for-machine-learning-tools-and-techniques
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231122T100000
DTEND;TZID=America/Los_Angeles:20231122T120000
DTSTAMP:20260604T061132
CREATED:20230908T164916Z
LAST-MODIFIED:20230908T173923Z
UID:24255-1700647200-1700654400@idre.ucla.edu
SUMMARY:Hoffman2 Happy Hours: Running interactive and batch jobs on the Hoffman2 Cluster
DESCRIPTION: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 \nQuestions about this workshop can be set to Raffaella D’Auria (dauria@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJ0odeiqrT4iG9IgPYD5lWz2M–zpMGi_jw8
URL:https://idre.ucla.edu/calendar-event/hoffman2-happy-hours-running-interactive-and-batch-jobs-on-the-hoffman2-cluster
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231117T090000
DTEND;TZID=America/Los_Angeles:20231117T110000
DTSTAMP:20260604T061132
CREATED:20230908T164916Z
LAST-MODIFIED:20230908T173937Z
UID:24254-1700211600-1700218800@idre.ucla.edu
SUMMARY:Introduction to Shell Scripting
DESCRIPTION: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 automate the execution of lengthy and repetitive tasks and store commonly executed commands for repeated use. This workshop will be an interactive introduction to shell scripting and help you to learn the fundamentals necessary to advance as an effective user of the Linux shell. Basic knowledge of using the command line will be assumed. \nQuestions about this workshop can be sent to Ben Winjum (bwinjum@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJIpd-CqqzgiE9JnVZw8KV0XIu_ihniE9lKq
URL:https://idre.ucla.edu/calendar-event/introduction-to-shell-scripting
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231116T123000
DTEND;TZID=America/Los_Angeles:20231116T143000
DTSTAMP:20260604T061132
CREATED:20230908T164915Z
LAST-MODIFIED:20230908T173955Z
UID:24253-1700137800-1700145000@idre.ucla.edu
SUMMARY:Creating GIS Route Networks with pgRouting and the Hoffman2 Shared Computing Cluster
DESCRIPTION: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 large or complex data set that is too much for your local machine to handle? If so\, this workshop is for you!\nIn this workshop participants will learn how to create and analyze spatial networks with free\, open-source tools. In addition to using these tools on their own computers\, participants will learn about the capabilities of the Hoffman2 cluster to perform advanced and computationally demanding GIS work. \nOver the course of two hours we will cover the following topics: \n\nInstalling and using PostgreSQL\, PostGIS\, and pgRouting\nUsing existing GIS materials\, pgRouting\, and Python to create a spatial network\nUse the Hoffman2 cluster to create least-cost-pathing on any digital elevation map which can then be used to create spatial networks\n\nQuestions about this workshop can be directed to Ryan Horne (rmhorne@ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJcqdOmvrzIuHNKdawpl0VU7FjJ3QZ4FhiDg \n 
URL:https://idre.ucla.edu/calendar-event/creating-gis-route-networks-with-pgrouting-and-the-hoffman2-shared-computing-cluster
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231109T090000
DTEND;TZID=America/Los_Angeles:20231109T110000
DTSTAMP:20260604T061132
CREATED:20230908T164914Z
LAST-MODIFIED:20230908T174016Z
UID:24252-1699520400-1699527600@idre.ucla.edu
SUMMARY:Introduction to the Command Line Interface
DESCRIPTION: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 the computer what to do. This workshop will introduce you to the command line and walk you through a variety of fundamental concepts and commands. The command line is available in many operating systems\, though here we’ll use Linux. No prior knowledge is assumed. By the end\, you will hopefully be much more comfortable when you have to use the command line. \nQuestions about this workshop can be directed to Ben Winjum (bwinjum@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJEude-grjMrEtOEF3sHhGRolCryk4suE8s8.
URL:https://idre.ucla.edu/calendar-event/introduction-to-the-command-line-interface
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231103T100000
DTEND;TZID=America/Los_Angeles:20231103T120000
DTSTAMP:20260604T061132
CREATED:20230908T164913Z
LAST-MODIFIED:20230908T174057Z
UID:24250-1699005600-1699012800@idre.ucla.edu
SUMMARY:Learning ChatGPT -- Its Past\, Present\, and Future
DESCRIPTION:Ever since its debut in November 2022\, ChatGPT has become one of the most intriguing technological advancements of our time. Particularly within scientific communities\, there’s a genuine interest in its capabilities\, its evolution\, and the potential transformative impacts it may have on scientific research. This 2-hour lecture offers an insightful dive into ChatGPT and similar large language models. We’ll structure our exploration by addressing the following pivotal questions: \n\nWhy is understanding ChatGPT essential for today?\nWhat do the “Chat”\, “G”\, “P”\, and “T” mean?\nWhy does ChatGPT perform so remarkably well?\nWhere does ChatGPT fall short or face limitations?\nWhat are current focal areas in developing and using ChatGPT?\nHow might ChatGPT impact our scientific research?\n\nWhile most of the discussion is designed to be accessible without prior knowledge\, attendees with a basic understanding of machine learning or deep learning will be better positioned to appreciate the nuances and depth of the topics covered. \nQuestions about this workshop can be directed to Qiyang Hu (huqy@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJYrf-ugrDspGtIkVXlSxMWT1SZSHRuRbLF9 
URL:https://idre.ucla.edu/calendar-event/learning-chatgpt-its-past-present-and-future
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231101T113000
DTEND;TZID=America/Los_Angeles:20231101T130000
DTSTAMP:20260604T061132
CREATED:20230908T164913Z
LAST-MODIFIED:20230908T174112Z
UID:24249-1698838200-1698843600@idre.ucla.edu
SUMMARY:Hoffman2 Happy Hour: Rstudio for HPC
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 Apptainer. \nQuestions about this workshop can be directed to Charles Peterson (cpeterson@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJ0ocuupqzIuGNcIdgj9o1CSE9lEcn6WgOIk
URL:https://idre.ucla.edu/calendar-event/hoffman2-happy-hour-rstudio-for-hpc
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231027T113000
DTEND;TZID=America/Los_Angeles:20231027T130000
DTSTAMP:20260604T061132
CREATED:20230908T164912Z
LAST-MODIFIED:20230908T174136Z
UID:24248-1698406200-1698411600@idre.ucla.edu
SUMMARY:Building Containers for HPC
DESCRIPTION:This workshop is a follow-up to a previous workshop on “Using Containers on HPC Resources”. 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 watch). A GitHub or DockerHub account would also be needed to store our containers. We will provide a VM image for VituralBox with the software install. \nQuestions about this workshop can be directed to Charles Peterson (cpeterson@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJAkfuivqzkuG9yZeOdA5Qg4ZMrD_ODD0_6Y
URL:https://idre.ucla.edu/calendar-event/building-containers-for-hpc-2
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231025T113000
DTEND;TZID=America/Los_Angeles:20231025T130000
DTSTAMP:20260604T061132
CREATED:20230908T164908Z
LAST-MODIFIED:20230908T174149Z
UID:24241-1698233400-1698238800@idre.ucla.edu
SUMMARY:Containers for HPC workshop
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 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 on a machine you have admin access (a few examples will also use Docker on these machines as well). \nQuestions about this workshop can be directed to Charles Peterson (cpeterson@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJMpd-qpqzwtHtyOgR8EZm6AQDTBSgcYYb15
URL:https://idre.ucla.edu/calendar-event/containers-for-hpc-workshop
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231025T100000
DTEND;TZID=America/Los_Angeles:20231025T120000
DTSTAMP:20260604T061132
CREATED:20230908T164909Z
LAST-MODIFIED:20230908T174212Z
UID:24242-1698228000-1698235200@idre.ucla.edu
SUMMARY:Hoffman2 Happy Hours: Connecting To the Hoffman2 Cluster via remote desktop / Data Transfer to and from the Hoffman2 Cluster
DESCRIPTION:Opening a remote desktop on the Hoffman2 Cluster / Data transfer hands on \n  \nQuestions about this workshop can be directed to Raffaella D’Auria (dauria@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJ0lde2qpzIuGNJpOwJKHy04Z8ivrbFCWuEe
URL:https://idre.ucla.edu/calendar-event/hoffman2-happy-hours-connecting-to-the-hoffman2-cluster-via-remote-desktop-data-transfer-to-and-from-the-hoffman2-cluster
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231024T123000
DTEND;TZID=America/Los_Angeles:20231024T143000
DTSTAMP:20260604T061132
CREATED:20230908T164907Z
LAST-MODIFIED:20230908T174239Z
UID:24240-1698150600-1698157800@idre.ucla.edu
SUMMARY:Introduction to Immersive Annotated 360 Virtual Tours with Adobe Captivate
DESCRIPTION: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 document the layout of a hydroelectric power plant\, provide archival information about historical relics\, such as the HMAS OVENS submarine\, or share information regarding a cultural heritage site\, such as Google Arts and Culture’s Street View tours\, immersive 360 capture with annotations has become a strong visual research method and product. \nIn addition\, many fields of research look to present information or scenarios and then survey a sample of participants regarding their experience. Interactive surveys or modules can provide valuable research data for any number of disciplines. \nIn this workshop\, participants will be introduced to Adobe Captivate\, a software for building e-learning interactives and annotated 360 virtual tours. Participants will learn how to build a virtual tour with 360 images and video. They will also learn how to annotate their tours and how to build some of the platforms various interactive activities\, which include: \n\nMultiple choice\nTrue/False\nFill-in-the-blank\nShort Answer\nMatching\nHot Spot\nSequence\nRating scale\nRandom question\n\nNo prior experience with Adobe products will be needed. However\, this product is not part of the Adobe Creative Cloud Suite. If participants want to follow along during the workshop\, they will need to purchase and download Adobe Captivate before the workshop.  \nQuestions about this workshop can be directed to Francesca Albrezzi (falbrezzi@ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJYtduiopjwuG9QyIHKS66b4eXT_mn3EiMIH
URL:https://idre.ucla.edu/calendar-event/introduction-to-immersive-annotated-360-virtual-tours-with-adobe-captivate
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231020T100000
DTEND;TZID=America/Los_Angeles:20231020T120000
DTSTAMP:20260604T061132
CREATED:20230908T164906Z
LAST-MODIFIED:20230908T174253Z
UID:24239-1697796000-1697803200@idre.ucla.edu
SUMMARY:Cloud Computing Workshops: AWS Cloud Storage
DESCRIPTION: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) cluster setup on two major cloud providers\, Amazon Web Service (AWS) and Google Cloud Platform (GCP). \nTo prepare for the cloud computing workshop series\, please view the Introduction videos (Cloud computing workshops: Introduction parts 1-3) on OARC’s YouTube channel. These videos will help you understand the basic concepts and tools of cloud computing. \nQuestions about this workshop can be directed to Jerry Huang (hyhuang@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJcldOuurj0oGN1EF_zhXCWBzw2SGN-pdNh1
URL:https://idre.ucla.edu/calendar-event/cloud-computing-workshops-aws-cloud-storage
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231013T100000
DTEND;TZID=America/Los_Angeles:20231013T120000
DTSTAMP:20260604T061132
CREATED:20230908T164905Z
LAST-MODIFIED:20230908T174308Z
UID:24238-1697191200-1697198400@idre.ucla.edu
SUMMARY:Cloud Computing Workshops: AWS Elastic Compute Cloud
DESCRIPTION: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) cluster setup on two major cloud providers\, Amazon Web Service (AWS) and Google Cloud Platform (GCP).\nTo prepare for the cloud computing workshop series\, please view the Introduction videos (Cloud computing workshops: Introduction parts 1-3) on OARC’s YouTube channel. These videos will help you understand the basic concepts and tools of cloud computing. \nQuestions about this workshop can be directed to Jerry Huang (hyhuang@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJcpf-6pqzkuHNRI_SKaIksbzEWJkC14CAhc  \n 
URL:https://idre.ucla.edu/calendar-event/cloud-computing-workshops-aws-elastic-compute-cloud
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231005T113000
DTEND;TZID=America/Los_Angeles:20231005T133000
DTSTAMP:20260604T061132
CREATED:20230919T224332Z
LAST-MODIFIED:20231005T235108Z
UID:24313-1696505400-1696512600@idre.ucla.edu
SUMMARY:Intro to Julia: A fast dynamic language for statistical computing and data science
DESCRIPTION:  \n \n  \n  \nSpeaker: Seyoon Ko\, Ph.D.\nIDRE Fellow and Assistant Adjunct Professor\,\nMathematics Department\,\nUniversity of California Los Angeles \n  \n  \nLocation: Virtual\nLink to the recording: https://youtu.be/lmtHtuyl-Q0  \nAbstract: Julia (http://julialang.org) is a modern open-source programming language for technical computing. Its design offers much greater speed and productivity compared to R or Python\, as high-performance code does not need to be wrapped in a low-level language like C or Fortran. After almost a decade of active development\, Julia reached its first major release\, v1.0\, in 2018\, and is quickly gaining popularity in scientific computing and data science communities. In this workshop\, I will present the basic concepts of Julia and show a little comparison between Julia and other languages\, such as R\, C\, and Python. \nAbout the speaker: Dr. Ko is an Assistant Adjunct Professor at UCLA Mathematics. Previously\, he was a Postdoctoral Scholar working with Dr. Ken Lange and Dr. Hua Zhou in the Department of Computational Medicine. Dr. Ko’s research interests include large-scale computational methods in biostatistics and bioinformatics using parallel and distributed computing. He earned a Ph.D. degree in Statistics from Seoul National University in South Korea\, as well as a M.S. degree in Computational Sciences and a B.S. degree in Physics\, Mathematical Sciences\, and Computational Science.
URL:https://idre.ucla.edu/calendar-event/julia-by-seyoon-ko-ecr
CATEGORIES:Conferences and Seminars,Education and Training,Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230918T110000
DTEND;TZID=America/Los_Angeles:20230918T143000
DTSTAMP:20260604T061132
CREATED:20230828T212729Z
LAST-MODIFIED:20230923T045719Z
UID:24166-1695034800-1695047400@idre.ucla.edu
SUMMARY:On Functional Brain Network and Dynamic Multivariate task fMRI Analysis
DESCRIPTION:Speaker: Prof. Nathan Spreng\nJames McGill Professor of Neurology and Neurosurgery\, McGill University\nDirector\, Laboratory of Brain and Cognition\, Montreal Neurological Institute. \nRSVP: Link to the recording of the second session. \nThe impact of loneliness on functional brain network organization across the lifespan (11:00 AM – 12:00 PM): Loneliness emerges when one’s need for interpersonal connection is unmet. Loneliness is a modifiable risk factor associated with poor mental and brain health across the lifespan. Over a series of studies examining the impact of loneliness on brain function\, measured with resting-state functional connectivity\, and analyzed using partial least squares analysis (PLS)\, we have demonstrated that associations between self-reported loneliness and functional network organization changes over the adult life course. In early adulthood\, higher levels of loneliness are associated with greater integration of visual regions with higher order association networks. From late middle-age and into older adulthood\, this pattern shifts\, with greater integration observed among higher order association networks and a relative isolation of the visual system. We hypothesize that these age-differences in network organization in the context of loneliness may reflect a shift from externally-oriented processing (e.g.\, perceiving negative social cues) in young\, to more internally-oriented processing (e.g.\, reminiscing or mentalizing about social experiences) in the later decades of life. These findings raise the intriguing possibility that the phenomena of loneliness may be a qualitatively different experience depending upon age. I will conclude with new directions of research into the impact of loneliness on older adults at risk for Alzheimer’s disease \nDynamic multivariate task fMRI analysis using Partial Least Squares in Matlab (1:00 PM – 2:30 PM): Whole brain imaging provides extraordinary opportunities to identify coherent patterns in the spatial structure and spatiotemporal functioning of cortical and subcortical brain regions. This has led to an explosion of network neuroscience research over the past two decades. Initially\, network studies adopted a general linear modelling (GLM) approach\, following the early structural and functional activation studies. However\, fMRI data is more amenable to multivariate approaches that consider dynamic aspects of brain function given its high dimensionality\, temporal complexity\, and the issue of multiple statistical comparisons. In this workshop\, I will review a dynamic multivariate approach for task based fMRI data\, Partial Least Squares (PLS). In this workshop\, I will review practical aspects of PLS statistical modelling and analyses\, introduce the PLS GUI interface in Matlab\, and include key elements of analysis implementation and results interpretation. \nAbout Speaker: Dr. Nathan Spreng is the James McGill Professor of Neurology and Neurosurgery at McGill University\, and director of the Laboratory of Brain and Cognition at the Montreal Neurological Institute. His research examines large-scale brain network dynamics and their role in cognition. Currently\, he is investigating the links between memory\, attention\, cognitive control\, and social cognition and the interacting brain networks that support them. He is also actively involved in the development and implementation of novel multivariate statistical approaches to assess activity and interactivity of large scale brain networks. His work adopts a network neuroscience approach to investigating complex cognitive processes as they change across the lifespan\, both in normal aging and brain disease.
URL:https://idre.ucla.edu/calendar-event/jason-nomi-9-18-2023
CATEGORIES:Conferences and Seminars,Education and Training,Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230913T113000
DTEND;TZID=America/Los_Angeles:20230913T133000
DTSTAMP:20260604T061132
CREATED:20230614T154200Z
LAST-MODIFIED:20230706T224042Z
UID:24115-1694604600-1694611800@idre.ucla.edu
SUMMARY:A Tutorial for Ansys Fluids Products with Application to Cross-Platform Programming
DESCRIPTION:Ansys is an engineering software that is employed for a plethora of multiphysics simulations. This is an introductory tutorial workshop for building\, configuring\, executing\, and postprocessing simulation projects and data using Ansys products including CAD software (DesignModeler and SpaceClaim)\, meshing software (Workbench Meshing\, Fluent Meshing) and multiphysics software (Fluent). Additionally\, various programming languages (Scheme Lisp\, C/C++ macros through UDFs\, Journal\, Python\, Unix Bash) will be briefly examined for facilitating the execution of simulations and postprocessing of data.\n \nAny questions about this workshop can be emailed to Matthew Tom at mtom3097@g.ucla.edu.\n \nAbout the speakers:\n \nMatthew Tom is a UCLA Chemical Engineering Ph.D. candidate and Henrik Wang is a UCLA Chemical Engineering Ph.D. student under the direction of Professor Panagiotis D. Christofides who perform research in multiscale modeling\, statistical process control\, and model predictive control for thin-layer deposition and etching processes for semiconductor fabrication using quantum and statistical mechanics\, kinetic Monte Carlo methods\, and computational fluid dynamics simulations. Additionally\, they collaborate with Professor Carlos Morales-Guio for computational fluid dynamics modeling of rotating cylindrical electrode reactors and electrocatalytic processes. \n  \nRegister here: https://ucla.zoom.us/meeting/register/tJwocO-ppz4oGdM6Jc7SisKIOVGtcLY8a9fX
URL:https://idre.ucla.edu/calendar-event/a-tutorial-for-ansys-products-with-application-to-cross-platform-programming
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230906T113000
DTEND;TZID=America/Los_Angeles:20230906T133000
DTSTAMP:20260604T061132
CREATED:20230614T153814Z
LAST-MODIFIED:20230706T224011Z
UID:24113-1693999800-1694007000@idre.ucla.edu
SUMMARY:Running Ansys Fluids products on Hoffman2 and on Local Devices
DESCRIPTION:Ansys is an engineering software that is used particularly in multiphysics modeling. This is an introductory workshop that will explore various approaches for (1) accessing Ansys products through the Hoffman2 cluster and through tunnelling on local devices\, (2) allocating resources to appropriate simulations for optimal efficiency\, and (3) troubleshooting common errors frequently encountered for simulations.\n \nAny questions about this workshop can be emailed to Matthew Tom at mtom3097@g.ucla.edu.  \nAbout the speakers:\n \nMatthew Tom is a UCLA Chemical Engineering Ph.D. candidate and Henrik Wang is a UCLA Chemical Engineering Ph.D. student under the direction of Professor Panagiotis D. Christofides who perform research in multiscale modeling\, statistical process control\, and model predictive control for thin-layer deposition and etching processes for semiconductor fabrication using quantum and statistical mechanics\, kinetic Monte Carlo methods\, and computational fluid dynamics simulations. Additionally\, they collaborate with Professor Carlos Morales-Guio for computational fluid dynamics modeling of rotating cylindrical electrode reactors and electrocatalytic processes. \nRegister here: https://ucla.zoom.us/meeting/register/tJcscOipqTgiGtwM2HlKNKA8j1DCDAdsN5tD
URL:https://idre.ucla.edu/calendar-event/running-ansys-on-hoffman2-and-on-local-devices
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230828T130000
DTEND;TZID=America/Los_Angeles:20230828T160000
DTSTAMP:20260604T061132
CREATED:20230530T164250Z
LAST-MODIFIED:20230530T164250Z
UID:24085-1693227600-1693238400@idre.ucla.edu
SUMMARY:Introduction to Programming in R
DESCRIPTION:This workshop is an introduction to R as a programming language. The aim of this workshop is to improve programming skills of R users who have some familiarity with R as a statistical package and would like to extend their R skills. We will talk about how R users can write functions to replace repetitive code and loops to iterate over the same algorithm repeatedly. Coding is essential in statistical computing and analysis\, and as researchers sometimes we need to write our own computational code. We will also discuss how we can make our code more efficient. \nAny questions about this workshop can be emailed to Siavash Jalal at sjalal@oarc.ucla.edu.  \nPresented by the Office of Advanced Research Computing. \nRegister here: https://ucla.zoom.us/meeting/register/tJ0qd-usqDkvG9OhwGBtjqZQhE05wflH1alL
URL:https://idre.ucla.edu/calendar-event/introduction-to-programming-in-r
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230821T130000
DTEND;TZID=America/Los_Angeles:20230821T160000
DTSTAMP:20260604T061132
CREATED:20230530T164118Z
LAST-MODIFIED:20230530T164118Z
UID:24083-1692622800-1692633600@idre.ucla.edu
SUMMARY:R Data Management
DESCRIPTION:This workshop explores tools in R for data management\, with a focus on the several of the packages in the “tidyverse” collection. Topics covered include summarizing variables\, subsetting rows and columns\, generating group-level variables\, combining data sets\, reshaping data\, and working with string and datetime data. This workshop is designed to be interactive\, so some basic knowledge of R is helpful. \nAny questions about this workshop can be emailed to Andy Lin at alin@oarc.ucla.edu.  \nPresented by the Office of Advanced Research Computing. \nRegister here: https://ucla.zoom.us/meeting/register/tJMsduqvrjouG9B62j7W7Ta_HfmFG7Pfi1ch
URL:https://idre.ucla.edu/calendar-event/r-data-management-2
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230814T130000
DTEND;TZID=America/Los_Angeles:20230814T160000
DTSTAMP:20260604T061132
CREATED:20230530T163939Z
LAST-MODIFIED:20230530T163939Z
UID:24081-1692018000-1692028800@idre.ucla.edu
SUMMARY:Applied Survey Data Analysis using SAS 9.4
DESCRIPTION:This workshop covers descriptive analyses\, both numerical and graphical\, with both continuous and categorical variables. Subpopulation analysis will be discussed\, and then examples of OLS regression and logistic regression will be considered. \nAny questions about this workshop can be emailed to Christine Wells at crwells@ucla.edu.  \nPresented by the Office of Advanced Research Computing. \nRegister here: https://ucla.zoom.us/meeting/register/tJYscuytqTIpEtQ5IOQL63Cl9AHdlrlb1ffw
URL:https://idre.ucla.edu/calendar-event/applied-survey-data-analysis-using-sas-9-4
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230809T113000
DTEND;TZID=America/Los_Angeles:20230809T123000
DTSTAMP:20260604T061132
CREATED:20230530T163240Z
LAST-MODIFIED:20230530T163240Z
UID:24079-1691580600-1691584200@idre.ucla.edu
SUMMARY:Hoffman2 Happy Hour: R and Python
DESCRIPTION:This Hoffman2 Happy Hour is designed to equip participants with the knowledge and skills to harness the power of High-Performance Computing (HPC) for data analysis. The workshop focuses on two popular programming languages\, R and Python\, and provides step-by-step guidance on installing essential packages for HPC environments. Participants will learn how to navigate the intricacies of installing and configuring R and Python packages on HPC clusters\, enabling them to take advantage of parallel computing capabilities for their data-intensive tasks. By the end of the workshop\, attendees will have a solid foundation in utilizing R and Python on HPC systems for efficient data processing and analysis. \nAny questions about this workshop can be emailed to Charles Peterson at cpeterson@oarc.ucla.edu.  \nPresented by the Office of Advanced Research Computing. \nRegister here: https://ucla.zoom.us/meeting/register/tJcocuugqjooGNa2gjg-JWEV4CVq-L4R1UtV
URL:https://idre.ucla.edu/calendar-event/hoffman2-happy-hour-r-and-python
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230804T100000
DTEND;TZID=America/Los_Angeles:20230804T120000
DTSTAMP:20260604T061132
CREATED:20230530T163012Z
LAST-MODIFIED:20230530T163012Z
UID:24077-1691143200-1691150400@idre.ucla.edu
SUMMARY:High Performance Machine Learning Using Scikit-Learn
DESCRIPTION:Machine learning has undeniably emerged as a crucial element in the field of science and technology in recent years. Consequently\, mastering libraries like scikit-learn\, pivotal in the arsenal of machine learning tools\, is of paramount importance.In this session\, we delve into advanced aspects of leveraging the scikit-learn Python library for high-performance machine learning. We will focus on enhancing modeling speed with multicore processors and accelerators\, as well as implementing out-of-core learning. This lecture builds upon the foundational concepts covered in the first session. For optimal benefit\, attendees should possess practical experience in Python programming and a solid understanding of fundamental machine learning concepts. \nAny questions about this workshop can be emailed to Qiyang Hu at huqy@oarc.ucla.edu. \nPresented by the Office of Advanced Research Computing. \nRegister here: https://ucla.zoom.us/meeting/register/tJcrdOupqTsrHdfGk-BQHD6foJjndq7s1T4T
URL:https://idre.ucla.edu/calendar-event/high-performance-machine-learning-using-scikit-learn-2
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230802T110000
DTEND;TZID=America/Los_Angeles:20230802T120000
DTSTAMP:20260604T061132
CREATED:20230530T162807Z
LAST-MODIFIED:20230530T162807Z
UID:24075-1690974000-1690977600@idre.ucla.edu
SUMMARY:Hoffman2 Happy Hour: Running Array Jobs
DESCRIPTION:Running Array jobs on the Hoffman2 Cluster.  \nAny questions about this workshop can be emailed to Raffaella D’Auria at dauria@oarc.ucla.edu. \nPresented by the Office of Advanced Research Computing. \nRegister here: https://ucla.zoom.us/meeting/register/tJYsdeqtpj0jGNTtNQtHaZunG2LVN1_texfD
URL:https://idre.ucla.edu/calendar-event/hoffman2-happy-hour-running-array-jobs
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230728T100000
DTEND;TZID=America/Los_Angeles:20230728T120000
DTSTAMP:20260604T061132
CREATED:20230530T162608Z
LAST-MODIFIED:20230530T162608Z
UID:24073-1690538400-1690545600@idre.ucla.edu
SUMMARY:Learning Scikit-Learn
DESCRIPTION:Machine learning has undeniably emerged as a crucial element in the field of science and technology in recent years. Consequently\, mastering libraries like scikit-learn\, pivotal in the arsenal of machine learning tools\, is of paramount importance. This lecture is designed to provide a fundamental understanding of the scikit-learn Python library. To get the most out of this workshop\, participants should have a working knowledge of Python programming and a foundational understanding of machine learning concepts. \nAny questions about this workshop can be emailed to Qiyang Hu at huqy@oarc.ucla.edu.  \nPresented by the Office of Advanced Research Computing. \nRegister here: https://ucla.zoom.us/meeting/register/tJEqd-uorzwpHNf1F_22Hz3a09aaMaFjegDL
URL:https://idre.ucla.edu/calendar-event/learning-scikit-learn-3
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
END:VCALENDAR