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X-WR-CALDESC:Events for Institute for Digital Research and Education
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180509T113000
DTEND;TZID=America/Los_Angeles:20180509T133000
DTSTAMP:20260619T223606
CREATED:20180405T210808Z
LAST-MODIFIED:20180405T223719Z
UID:10117-1525865400-1525872600@idre.ucla.edu
SUMMARY:Research Data Management
DESCRIPTION:Advanced Research Workshop \nThe focus of this talk is on understanding and applying initial steps to facilitate data management and data reuse. Topics covered will include data management plans\, the data life cycle\, file management\, and metadata. Attendees will get a chance to practice using these approaches. Taught by Bethany Myers (Library). \nEvent is free. Available only to UCLA students\, faculty\, staff\, and visiting scholars. See website link below to RSVP. \nSee other research training courses here.
URL:https://idre.ucla.edu/calendar-event/research-data-management
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180509T103000
DTEND;TZID=America/Los_Angeles:20180509T113000
DTSTAMP:20260619T223606
CREATED:20180417T185714Z
LAST-MODIFIED:20180420T145027Z
UID:10191-1525861800-1525865400@idre.ucla.edu
SUMMARY:Software Central - SurveyMonkey Training: Session #1
DESCRIPTION:If you have ever wondered what SurveyMonkey is or if you are already an in-the-know SurveyMonkey licensee\, we invite you to a live training session. \nSoftware Central is hosting two SurveyMonkey Training sessions on Wednesday\, May 9th\, in the IDRE Portal – 5628 Math Sciences Building. \nSession #1 will be at 10:30am to 11:30am \nSession #2 will be at 1:00pm to 2:00pm \nThe material covered will be the same in both sessions: \n\nEnterprise overview – Collaboration and permission control on surveys.\nDesign – Best practices for a good looking\, high response rate survey including templates\, question types and using survey genius (*for advanced sessions we also take a look at advanced logic).\nCollect – Finding the right method to bring back the results you need.\nAnalyze – How best to filter and make sense of your data. How to export and present.\nQ&A\n\nThese sessions will not be recorded or broadcast\, so please plan on attending. \nSIGN UP NOW
URL:https://idre.ucla.edu/calendar-event/software-central-training-session
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180507T090000
DTEND;TZID=America/Los_Angeles:20180507T120000
DTSTAMP:20260619T223606
CREATED:20180417T162917Z
LAST-MODIFIED:20180417T163922Z
UID:10175-1525683600-1525694400@idre.ucla.edu
SUMMARY:Logistic Regression in SAS
DESCRIPTION:This workshop will cover modeling binary outcome with logistic regression in SAS. We will discuss the logistic regression model\, model building and fitting\, interpretation of estimated parameters\, assessment of model fit\, graphing of model effects\, and ROC analysis. This workshop does NOT cover ordinal or multinomial logistic regression.
URL:https://idre.ucla.edu/calendar-event/logistic-regression-in-sas
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180503T103000
DTEND;TZID=America/Los_Angeles:20180504T160000
DTSTAMP:20260619T223606
CREATED:20180423T222051Z
LAST-MODIFIED:20180503T012532Z
UID:10255-1525343400-1525449600@idre.ucla.edu
SUMMARY:High-performance programming: back to the hardware
DESCRIPTION:In collaboration with UCLA-ECE\, IDRE  invites you to the workshop “High-Performance programming: back to hardware” with the following details: \nOutline: \n\nArchitecture of modern CPUs – brief overview\nHow to efficiently use CPU computing resources\nMemory and cache architecture\nHow to use the memory system efficiently\nUsing multiple CPUs efficiently through concurrency\nMemory model\, locking\, memory barriers\n\nInstructor:\nFedor G Pikus\, Ph.D.\,\nChief Engineering Scientist\,\nDesign to Silicon division\,\nMentor Graphics Corp (Siemens business). \nTiming: 10:30 AM – 4 PM on 5/3/2018 (Thursday)\, and 9:00 AM – 4:00 PM on 5/4/2018 (Friday) \nRequirements: Please bring your own laptop for handson exercises. \n\nRSVP – registration link (*lunch will be provided) \n\n\nAbstract: The great “free lunch” of programming is over. Until recently\, the programs just got faster by themselves as the time went by and the CPUs got upgraded. This does not happen anymore. The clock frequency of the new processors has peaked and even decreased slightly from the maximum. New architectures provide small improvements for existing programs\, but only small improvements. The processors do get larger\, more complex\, and more powerful\, but most of this new power goes into the increased number of processing cores and other “extra” computing units. To write efficient software\, one now has to make good use of the available computing resources. \nIt used to be that to write any half-decent program\, you had to know your hardware. Then\, the hardware became hidden\, abstracted behind higher-level languages; that was a good thing as the programmers could focus on writing programs in the way that expressed what they wanted to do\, not how it had to be done. Now we find ourselves reaching for the old arcane knowledge of hardware again: from ones and zeros we came\, to ones and zeros we return\, from now and until the next level of abstractions and high-level languages are invented. Still\, evolution is a spiral not a circle\, and we do not need to discard what we learned about good programming practices simply because we need to write efficient programs again. To put it another way\, just because our programs have to be as effective at getting every last bit of hardware performance as they were twenty years ago\, does not mean they have to be as difficult to read and debug. \nIn pursuit of performance\, we have at our disposal an amazing\, powerful\, and bewildering array of choices: concurrency (programming with multiple threads and multiple processes)\, atomic operations and lock-free programming\, special CPU instructions and special accelerator hardware\, memory and cache management\, shared memory. \nWe will learn what really happens when your program is executed\, what subtle details make a program slow or fast\, and how to make the best use of the available computing resources. We will talk about which performance considerations should be considered early in the design stage\, and which can be taken care of during implementation\, or\, even later\, optimization\, and what tools are available to measure the performance of your programs and their components. Most importantly\, I want to show you how to learn more about writing efficient programs and discover new knowledge as you need it. \n\n\n\n\nBio: Fedor G Pikus is a Chief Engineering Scientist in the Design to Silicon division of Mentor Graphics Corp (Siemens business). His earlier positions included a Senior Software Engineer at Google and a Chief Software Architect for Calibre PERC\, LVS\, DFM at Mentor Graphics. He joined Mentor Graphics in 1998 when he made a switch from academic research in computational physics to software industry. His responsibilities as a Chief Scientist include planning long-term technical direction of Calibre products\, directing and training the engineers who work on these products\, design and architecture of the software\, and research in new design and software technologies. Fedor has over 25 patents and over 100 papers and conference presentations on physics\, EDA\, software design\, and C++ language. \n 
URL:https://idre.ucla.edu/calendar-event/high-performance-programming-back-to-the-hardware
CATEGORIES:Classes and Workshops,Education and Training,UCLA event
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180502T140000
DTEND;TZID=America/Los_Angeles:20180502T160000
DTSTAMP:20260619T223606
CREATED:20180405T203245Z
LAST-MODIFIED:20180405T220635Z
UID:10114-1525269600-1525276800@idre.ucla.edu
SUMMARY:Zotero
DESCRIPTION:Advanced Research Workshop \nZoe Borovsky (Library) and Bethany Myers (Library) cover the basics and some fancy\, advanced features of this popular\, free\, web-based application. \n\nEvent is free. Available to only UCLA students\, faculty\, staff\, and visiting scholars. See website link below to RSVP. \nSee other research training courses here.
URL:https://idre.ucla.edu/calendar-event/zotero
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180502T113000
DTEND;TZID=America/Los_Angeles:20180502T133000
DTSTAMP:20260619T223606
CREATED:20180405T201143Z
LAST-MODIFIED:20180405T220644Z
UID:10083-1525260600-1525267800@idre.ucla.edu
SUMMARY:Introduction to Spatial Data
DESCRIPTION:Advanced Research Workshop \nHow to get started with spatial data and statistics. Taught by Albert Kochaphum and Christine Wells (Institute for Digital Research and Education). \nEvent is free. Available to only UCLA students\, faculty\, staff\, and visiting scholars. See website link below to RSVP. \nSee other research training courses here.
URL:https://idre.ucla.edu/calendar-event/introduction-to-spatial-data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180501T100000
DTEND;TZID=America/Los_Angeles:20180501T120000
DTSTAMP:20260619T223606
CREATED:20180501T195544Z
LAST-MODIFIED:20180501T195544Z
UID:10455-1525168800-1525176000@idre.ucla.edu
SUMMARY:CESMII/UCLA Presentation Series: Automated Linux Instance Deployment on Microsoft Azure Cloud through Kepler Workflows
DESCRIPTION:IDRE will be doing a demo of automated Linux instance deployment on Microsoft Azure Cloud Platform using Kepler workflow software.  An instance will be created on demand and terminated upon completion of remote execution.
URL:https://idre.ucla.edu/calendar-event/cesmii-ucla-presentation-series-automated-linux-instance-deployment-on-microsoft-azure-cloud-through-kepler-workflows
ORGANIZER;CN="Prakashan Korambath":MAILTO:ppk@idre.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180501T080000
DTEND;TZID=America/Los_Angeles:20180502T140000
DTSTAMP:20260619T223606
CREATED:20180410T174451Z
LAST-MODIFIED:20180410T174942Z
UID:10166-1525161600-1525269600@idre.ucla.edu
SUMMARY:XSEDE HPC Workshop: BIG DATA
DESCRIPTION:UCLA-IDRE along with XSEDE and Pittsburgh Supercomputing Center is pleased to announce a two day Big Data workshop (May 1-2\, 2018\, 8 AM-2 PM PDT each day). \nThis workshop will focus on topics such as Hadoop and Spark and will be presented using the Wide Area Classroom (WAC) training platform. \nFor registration and detailed information\, visit: https://www.psc.edu/hpc-workshop-series/big-data-may-2018 \nAgenda: \n\n\n\nTuesday\, May 1\, 2018\nAll times given are Pacific\n\n\n08:00\nWelcome\n\n\n08:25\nIntro to Big Data\n\n\n09:00\nHadoop\n\n\n09:30\nIntro to Spark\n\n\n10:00\nLunch Break\n\n\n11:00\nSpark\n\n\n12:30\nSpark Exercises\n\n\n01:30\nSpark\n\n\n02:00\nAdjourn\n\n\n\n  \n\n\n\nWednesday\, May 2\, 2018\nAll times given are Pacific\n\n\n08:00\nMachine Learning: Recommender System with Spark\n\n\n10:00\nLunch break\n\n\n11:00\nDeep Learning with Tensorflow\n\n\n01:30\nBridges: A Big Data Platform\n\n\n02:00\nAdjourn\n\n\n\nFor more information and registration information\, visit the workshop webpage: \nhttps://www.psc.edu/hpc-workshop-series/big-data-may-2018
URL:https://idre.ucla.edu/calendar-event/workshop-big-data-may-2018
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180425T113000
DTEND;TZID=America/Los_Angeles:20180425T133000
DTSTAMP:20260619T223606
CREATED:20180405T191704Z
LAST-MODIFIED:20180405T220820Z
UID:10081-1524655800-1524663000@idre.ucla.edu
SUMMARY:Introduction to Statistical Software
DESCRIPTION:Advanced Research Workshop \nThis hands-on workshop will introduce some commonly used statistical software packages\, including R\, SAS\, SPSS and Stata. Taught by Christine Wells (Institute for Digital Research and Education). \n\nEvent is free. Available to only UCLA students\, faculty\, staff\, and visiting scholars. See website link below to RSVP. \nSee other research training courses here.
URL:https://idre.ucla.edu/calendar-event/introduction-to-statistical-software
LOCATION:Research Commons (RC) Classroom\, 11630F Young Research Library\, 280 Charles E Young Drive North\, Los Angeles\, CA\, 90095\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180418T113000
DTEND;TZID=America/Los_Angeles:20180418T133000
DTSTAMP:20260619T223606
CREATED:20180405T185004Z
LAST-MODIFIED:20180405T220655Z
UID:10077-1524051000-1524058200@idre.ucla.edu
SUMMARY:ATLAS.ti
DESCRIPTION:Advanced Research Workshop \n\nThis workshop will provide an overview of the ATLAS.ti software\, a tool that allows researchers to encode and use qualitative analysis methods on their “soft” data\, e.g. text (interview transcripts)\, video\, audio\, images (maps)\, surveys\, and more! We’ll provide hands-on practice using various types of data samples utilizing powerful tools within the software to manage\, analyze\, and integrate resources from your research projects. Taught by Suvra Mostafa (Digital Research Project Assistant\, Master of Social Sciences candidate). \n\n\n\n\nEvent is free. Available to only UCLA students\, faculty\, staff\, and visiting scholars. See website link below to RSVP. \nSee other research training courses here.
URL:https://idre.ucla.edu/calendar-event/atlas-ti
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180411T140000
DTEND;TZID=America/Los_Angeles:20180411T160000
DTSTAMP:20260619T223606
CREATED:20180405T164210Z
LAST-MODIFIED:20180405T220706Z
UID:10074-1523455200-1523462400@idre.ucla.edu
SUMMARY:Data Management in R
DESCRIPTION:Advanced Research Workshop \n\nAndy Lin (Institute for Digital Research and Education) teaches a more advanced R session. \n\n\n\n\nEvent is free. Available to only UCLA students\, faculty\, staff\, and visiting scholars. See website link below to RSVP. \nSee other research training courses here.
URL:https://idre.ucla.edu/calendar-event/data-management-in-r
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180411T113000
DTEND;TZID=America/Los_Angeles:20180411T133000
DTSTAMP:20260619T223606
CREATED:20180405T163955Z
LAST-MODIFIED:20180405T224424Z
UID:10069-1523446200-1523453400@idre.ucla.edu
SUMMARY:Spatial Statistics in ArcGIS
DESCRIPTION:Advanced Research Workshop – \nUsing the spatial Statistics Toolbox in ArcGIS and presenting maps ArcGIS Online. Taught by Albert Kochaphum and Yoh Kawano (Institute for Digital Research and Education). \n\n\n\nEvent is free. Available to only UCLA students\, faculty\, staff\, and visiting scholars. See website link below to RSVP. \nSee other research training courses here.
URL:https://idre.ucla.edu/calendar-event/spatial-statistics-in-arcgis
ORGANIZER;CN="Albert Kochaphum":MAILTO:albertkun@idre.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180405T120000
DTEND;TZID=America/Los_Angeles:20180405T140000
DTSTAMP:20260619T223606
CREATED:20180405T163758Z
LAST-MODIFIED:20180405T220716Z
UID:10066-1522929600-1522936800@idre.ucla.edu
SUMMARY:Practical Python: Advanced Python Usage for Scripting and Data Visualization
DESCRIPTION:Advanced Research Workshop \n\n\nTaught by Albert Kochaphum (Institute for Digital Research and Education). \nEvent is free. Available to only UCLA students\, faculty\, staff\, and visiting scholars. See website link below to RSVP. \nSee other research training courses here.
URL:https://idre.ucla.edu/calendar-event/practical-python-advanced-python-usage-for-scripting-and-data-visualization
LOCATION:West Electronic Classroom\, 23167 Young Research Library\, 280 Charles E Young Drive North\, Los Angeles\, CA\, 90095\, United States
ORGANIZER;CN="Albert Kochaphum":MAILTO:albertkun@idre.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180403T100000
DTEND;TZID=America/Los_Angeles:20180403T110000
DTSTAMP:20260619T223606
CREATED:20180403T154207Z
LAST-MODIFIED:20180403T172919Z
UID:10060-1522749600-1522753200@idre.ucla.edu
SUMMARY:Streaming data workflow to mimic sensors and control
DESCRIPTION:We will do a demo of streaming data workflow using Kepler software.  In this demo\, workflow will listen to data coming into a specific port on a laptop and process the data in a naive and simple way and send the output back to control.
URL:https://idre.ucla.edu/calendar-event/streaming-data-workflow-to-mimic-sensors-and-control
ORGANIZER;CN="Prakashan Korambath":MAILTO:ppk@idre.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180327T100000
DTEND;TZID=America/Los_Angeles:20180327T110000
DTSTAMP:20260619T223606
CREATED:20180321T212939Z
LAST-MODIFIED:20180321T212939Z
UID:10044-1522144800-1522148400@idre.ucla.edu
SUMMARY:Charliecloud container deployment
DESCRIPTION:We will have a presentation on the unprivileged user namespace on Linux Kernel and Charliecloud container deployment.  We will have Charliecloud container running on both Ubuntu and CentOS 7. We are interested in user namespace as a way to get around security issues in deploying Docker container.  Our investigation is preliminary in nature.  You are welcome to join us if you have interest in this topic.
URL:https://idre.ucla.edu/calendar-event/charliecloud-container-deployment
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180305T090000
DTEND;TZID=America/Los_Angeles:20180305T120000
DTSTAMP:20260619T223606
CREATED:20171215T000203Z
LAST-MODIFIED:20171219T193142Z
UID:9725-1520240400-1520251200@idre.ucla.edu
SUMMARY:Data Management in R
DESCRIPTION:This seminar introduces R packages and functions that help users import\, transform and manage their data in preparation for analysis.   The seminar focuses on the “tidy data” philosophy encouraged by the “tidyverse” collection of R packages\, but draws on other packages for useful functions as needed.  Topics include data import\, transforming variables\, string functions\, missing data\, merging datasets\, reshaping data\, grouped data processing\, and looping. \nNOTE: All researchers are welcome to attend.
URL:https://idre.ucla.edu/calendar-event/data-management-r
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180226T090000
DTEND;TZID=America/Los_Angeles:20180226T120000
DTSTAMP:20260619T223606
CREATED:20171214T235232Z
LAST-MODIFIED:20171219T193229Z
UID:9721-1519635600-1519646400@idre.ucla.edu
SUMMARY:Using the MIXED command in SPSS
DESCRIPTION:This seminar will illustrate the different kinds of models that can be run with the SPSS command MIXED.  Basic syntax and useful options will be discussed\, as well as possible solutions to common problems encountered in multilevel modeling.  Examples of both two- and three-level models will be provided. \nNOTE: All researchers are welcome to attend.
URL:https://idre.ucla.edu/calendar-event/using-mixed-command-spss
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180213T100000
DTEND;TZID=America/Los_Angeles:20180213T110000
DTSTAMP:20260619T223606
CREATED:20180206T195815Z
LAST-MODIFIED:20180206T195815Z
UID:9949-1518516000-1518519600@idre.ucla.edu
SUMMARY:UCLA/CESMII Project Presentation:  Container Orchestration (Kubernetes\, Docker Swarm) and Workflows - Part 4
DESCRIPTION:IDRE will be presenting a container orchestration Demo for Docker containers.  The first part of the presentation will be Docker installation\, container creation\, moving the container from one host to another.   We will demo deploying containers for load balancing and high availability by deploying them on multiple nodes. \nIn part 4 of the presentation series\, we will be demoing kubernetes orchestration of docker containers on single node\, using minikube and on multiple nodes using kubeadm.
URL:https://idre.ucla.edu/calendar-event/ucla-cesmii-project-presentation-container-orchestration-kubernetes-docker-swarm-workflows-part-4
CATEGORIES:Presentations
ORGANIZER;CN="Prakashan Korambath":MAILTO:ppk@idre.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180212T090000
DTEND;TZID=America/Los_Angeles:20180212T120000
DTSTAMP:20260619T223606
CREATED:20171214T233536Z
LAST-MODIFIED:20171214T233652Z
UID:9717-1518426000-1518436800@idre.ucla.edu
SUMMARY:Introduction to Mplus 8.1
DESCRIPTION:Mplus is a powerful statistical package used for the analysis of both observed and latent variables. Among the kinds of analysis it can perform are exploratory factor analysis\, confirmatory factor analysis\, latent class analysis\, latent growth curve modeling\, structural equation modeling and multilevel modeling. This workshop is designed for people who are just getting started using Mplus. Our aim is to orient participants to the basic structure\, syntax\, data and output associated with this package. Mplus version 8.1 will be used for this workshop. \nNOTE: All researchers are welcome to attend.
URL:https://idre.ucla.edu/calendar-event/introduction-mplus-8-1
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180207T080000
DTEND;TZID=America/Los_Angeles:20180208T140000
DTSTAMP:20260619T223606
CREATED:20180117T171536Z
LAST-MODIFIED:20180117T171536Z
UID:9857-1517990400-1518098400@idre.ucla.edu
SUMMARY:XSEDE HPC Workshop: BIG DATA
DESCRIPTION:UCLA-IDRE along with XSEDE and Pittsburgh Supercomputing Center is pleased to announce a two day Big Data workshop (February 7-8\, 2018\, 8 AM-2 PM PDT each day). \nThis workshop will focus on topics such as Hadoop and Spark and will be presented using the Wide Area Classroom (WAC) training platform. \nFor registration and detailed information\, visit: https://www.psc.edu/current-workshop \nAgenda: \n\n\n\nWednesday\, February 7\, 2018\n \nAll times given are Pacific\n\n\n08:00\nWelcome\n\n\n08:25\nIntro to Big Data\n\n\n09:00\nHadoop\n\n\n09:30\nIntro to Spark\n\n\n10:00\nLunch Break\n\n\n11:00\nSpark\n\n\n12:30\nSpark Exercises\n\n\n01:30\nSpark\n\n\n02:00\nAdjourn\n\n\n\n  \n\n\n\nThursday\, February 8\, 2018\n \nAll times given are Pacific\n\n\n08:00\nMachine Learning: Recommender System with Spark\n\n\n10:00\nLunch break\n\n\n11:00\nDeep Learning with Tensorflow\n\n\n01:30\nBridges: A Big Data Platform\n\n\n02:00\nAdjourn\n\n\n\nFor more information and registration information\, visit the workshop webpage: \nhttps://www.psc.edu/current-workshop
URL:https://idre.ucla.edu/calendar-event/workshop-big-data-feb-2018
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180206T100000
DTEND;TZID=America/Los_Angeles:20180206T110000
DTSTAMP:20260619T223606
CREATED:20180201T085447Z
LAST-MODIFIED:20180201T191958Z
UID:9924-1517911200-1517914800@idre.ucla.edu
SUMMARY:UCLA/CESMII Project Presentation:  Container Orchestration (Kubernetes\, Docker Swarm) and Workflows - Part 3
DESCRIPTION:IDRE will be presenting a container orchestration Demo for Docker containers.  The first part of the presentation will be Docker installation\, container creation\, moving the container from one host to another.   We will demo deploying containers for load balancing and high availability by deploying them on multiple nodes.
URL:https://idre.ucla.edu/calendar-event/ucla-cesmii-project-presentation-container-orchestration-kubernetes-docker-swarm-workflows-part-3
CATEGORIES:Presentations
ORGANIZER;CN="Prakashan Korambath":MAILTO:ppk@idre.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180130T100000
DTEND;TZID=America/Los_Angeles:20180130T110000
DTSTAMP:20260619T223606
CREATED:20180116T225437Z
LAST-MODIFIED:20180116T230715Z
UID:9847-1517306400-1517310000@idre.ucla.edu
SUMMARY:UCLA/CESMII Project Presentation:  Container Orchestration (Kubernetes\, Docker Swarm) and Workflows - Part 2
DESCRIPTION:IDRE will be presenting a container orchestration Demo for Docker containers.  First part of the presentation will be Docker installation\, container creation\, moving container from one host to another.   Second part will utilize Kubernetes to do orchestration.
URL:https://idre.ucla.edu/calendar-event/ucla-cesmii-project-presentation-container-orchestration-kubernetes-docker-swarm-workflows-part-2
CATEGORIES:Classes and Workshops,Conferences and Seminars,Education and Training,Meetings,Presentations
ORGANIZER;CN="Prakashan Korambath":MAILTO:ppk@idre.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180123T100000
DTEND;TZID=America/Los_Angeles:20180123T110000
DTSTAMP:20260619T223606
CREATED:20180116T225249Z
LAST-MODIFIED:20180116T231524Z
UID:9843-1516701600-1516705200@idre.ucla.edu
SUMMARY:UCLA/CESMII Project Presentation:  Container Orchestration (Kubernetes\, Docker Swarm) and Workflows - Part 1
DESCRIPTION:IDRE will be presenting a container orchestration Demo for Docker containers.  First part of the presentation will be Docker installation\, container creation\, moving container from one host to another.   Second part will utilize Kubernetes to do orchestration.
URL:https://idre.ucla.edu/calendar-event/ucla-cesmii-project-presentation-container-orchestration-kubernetes-docker-swarm-workflows-part-1
CATEGORIES:Classes and Workshops,Conferences and Seminars,Education and Training,Meetings,Presentations
ORGANIZER;CN="Prakashan Korambath":MAILTO:ppk@idre.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20171205T080000
DTEND;TZID=America/Los_Angeles:20171206T140000
DTSTAMP:20260619T223606
CREATED:20171108T174112Z
LAST-MODIFIED:20171113T232141Z
UID:9646-1512460800-1512568800@idre.ucla.edu
SUMMARY:XSEDE HPC Workshop: BIG DATA
DESCRIPTION:UCLA-IDRE along with XSEDE and Pittsburgh Supercomputing Center is pleased to announce a two day Big Data workshop (December 5-6\, 2017\, 8 AM-2 PM PDT each day). \nThis workshop will focus on topics such as Hadoop and Spark and will be presented using the Wide Area Classroom (WAC) training platform. \nFor registration and detailed information\, visit: https://psc.edu/hpc-workshop-series/big-data-december-2017 \nAgenda: \n\n\n\n\nTuesday\, December 5th \nAll times given are Pacific \n\n\n\n08:00\nWelcome\n\n\n08:25\nIntro to Big Data\n\n\n09:00\nHadoop\n\n\n09:30\nIntro to Spark\n\n\n10:00\nLunch Break\n\n\n11:00\nSpark\n\n\n12:30\nSpark Exercises\n\n\n01:30\nSpark\n\n\n02:00\nAdjourn\n\n\n\n  \n\n\n\n\nWednesday\, December 6th \nAll times given are Pacific \n\n\n\n08:00\nMachine Learning: Recommender System with Spark\n\n\n10:00\nLunch break\n\n\n11:00\nDeep Learning with Tensorflow\n\n\n01:30\nBridges: A Big Data Platform\n\n\n02:00\nAdjourn\n\n\n\n  \nFor more information and registration information\, visit the workshop webpage: \nhttps://psc.edu/hpc-workshop-series/big-data-december-2017
URL:https://idre.ucla.edu/calendar-event/workshop-big-data-dec-2017
CATEGORIES:Classes and Workshops,Education and Training
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20171130T100000
DTEND;TZID=America/Los_Angeles:20171130T120000
DTSTAMP:20260619T223606
CREATED:20171115T221240Z
LAST-MODIFIED:20171116T003048Z
UID:9663-1512036000-1512043200@idre.ucla.edu
SUMMARY:SPC Workshop: Introduction to Scientific Computing with Python
DESCRIPTION:November SPC event at UCLA is tentatively scheduled for Thursday\, 11/30 10 am – 12 pm PDT (11 am – 1 pm MDT). It will be a technical workshop on introduction to scientific computing in Python. This is in collaboration with the Institute for Digital Research and Education (IDRE) here at UCLA. Some topics to be covered will include general introduction to programming with Python\, numpy and matplotlib libraries in the context of scientific computing. If this workshop is well received\, we can plan future ones that focus on other aspects of scientific computing\, e.g. high performance computing\, data visualization\, GPU computing\, machine learning\, etc. IDRE can also cover topics in MATLAB or R\, depending on preferences. \nThe event will also be broadcast in real time to the remote sites. Please visit the STROBE event page for more.
URL:https://idre.ucla.edu/calendar-event/spc-workshop-introduction-scientific-computing-python
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20171127T090000
DTEND;TZID=America/Los_Angeles:20171127T120000
DTSTAMP:20260619T223606
CREATED:20171030T233352Z
LAST-MODIFIED:20171101T202148Z
UID:9606-1511773200-1511784000@idre.ucla.edu
SUMMARY:Introduction to R
DESCRIPTION:R is a powerful and yet easy-to-use statistical package that runs on Windows\, Macintosh and Unix platforms. This class is designed for people who are just getting started using R. The students in the class will have a hands-on experience using R for statistics\, graphics and data management. The class notes can be found at https://stats.idre.ucla.edu/r/seminars/intro/.
URL:https://idre.ucla.edu/calendar-event/introduction-to-r-5
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20171101T140000
DTEND;TZID=America/Los_Angeles:20171101T150000
DTSTAMP:20260619T223606
CREATED:20170915T211912Z
LAST-MODIFIED:20171011T220307Z
UID:8896-1509544800-1509548400@idre.ucla.edu
SUMMARY:National Leadership Class Computing Resources and Opportunities for UCLA Researchers
DESCRIPTION:The Department of Energy\, National Science Foundation\, and the National Aeronautical Space Agency support an ecosystem of “leadership class” computing facilities housing some of the world’s most advanced supercomputers and high-end visualization and data analysis resources. These facilities provide “free” computing cycles at scale and storage to researchers from academia. Access to these resources is obtained through an application process that is based on the merit of the research objectives\, and demonstration of the efficacy and parallel scalability of the software. \nThe aim of this presentation is to explain the capabilities of various “leadership class” computing facilities. It will also describe the IDRE Pipeline program which helps transition UCLA researchers from local resources and take advantage of these “free” magnificent computing facilities.
URL:https://idre.ucla.edu/calendar-event/national-leadership-class-comp-nov2017
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20171031T140000
DTEND;TZID=America/Los_Angeles:20171031T160000
DTSTAMP:20260619T223606
CREATED:20170915T211446Z
LAST-MODIFIED:20171011T220056Z
UID:8893-1509458400-1509465600@idre.ucla.edu
SUMMARY:Computing Environment on Linux – II
DESCRIPTION:  \nThe second session is regarding the use of Linux system for computation. It will describe the compilation and execution procedures for a given source program. A sample software code will be used to demonstrate the computing tools such as makefile\, debugger\, and profiler which are available under most Linux environments.
URL:https://idre.ucla.edu/calendar-event/computing-environment-linux-ii-oct2017
CATEGORIES:Classes and Workshops,Education and Training
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20171026T140000
DTEND;TZID=America/Los_Angeles:20171026T160000
DTSTAMP:20260619T223606
CREATED:20170915T210813Z
LAST-MODIFIED:20171012T154919Z
UID:8889-1509026400-1509033600@idre.ucla.edu
SUMMARY:Computing Environment on Linux – I
DESCRIPTION:Part-I session of Computing Environment on Linux class is aimed to help researchers who are new to the Linux system. This two hour session will introduce basic Unix/Linux commands\, shells\, as well as a few editors available on most of the flavors of Linux operating system. The user should be able to log in to a Linux system and use it to do the normal tasks after going through this session.
URL:https://idre.ucla.edu/calendar-event/computing-environment-linux-oct2017
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20171025T114500
DTEND;TZID=America/Los_Angeles:20171025T130000
DTSTAMP:20260619T223606
CREATED:20170920T212251Z
LAST-MODIFIED:20171020T212936Z
UID:8939-1508931900-1508936400@idre.ucla.edu
SUMMARY:Current and future requirements for Advanced Research Cyberinfrastructure - Panel Discussion
DESCRIPTION:The Institute for Digital Research and Education is pleased to announce a panel discussion on current and future requirements for Advanced Research Cyberinfrastructure (ARC). The discussion will be led by the following early career researchers from various disciplines across the UCLA campus. \n\nBao Wang – Mathematics\nAlan Farahani – Cotsen Institute of Archaeology\nKarthik Sarma – Medical Imaging Informatics\nRichard Sportsman – Chemistry and Biochemistry\nIris Chang – Material Science and Engineering\nFrancesca Albrezzi – World Arts and Cultures\n\nDate: Oct 25\, 2017\nTime: 11:45 AM-1 PM (lunch provided*)\nPlace: 5628 Math Sciences Building \nRSVP: https://idre.ucla.edu/calendar-event/panel-on-arc-oct2017 \nAbout: Decades ago\, it was hard to imagine the scale at which Advanced Research Cyberinfrastructure (ARC) at any university would drive the innovation and enhance its research capabilities. Today\, ARC is playing increasingly important role in research involving data\, computation\, communication\, and information sharing. By providing cutting-edge opportunities to researchers\, it enhances faculty competitiveness among peer organizations.  Due to the fast pace of ever-changing technology\, however\, envisaging the future requirements of the ARC  is a daunting exercise. Infrastructure planning requires inputs from various segments across the university especially from the early career researchers who are at the forefront of the use of technology in research. This panel discussion on “Current and future requirements for Advanced Research Cyberinfrastructure” is part of the exercise to get the feedback from the diverse community of early career researchers from the UCLA campus. \n*Since we need the count for lunch\, please make sure to RSVP if you plan to attend the fruitful discussion.
URL:https://idre.ucla.edu/calendar-event/panel-on-arc-oct2017
CATEGORIES:Classes and Workshops,Meetings,Presentations
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
END:VCALENDAR