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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:20170217T100000
DTEND;TZID=America/Los_Angeles:20170217T120000
DTSTAMP:20260406T160319
CREATED:20170123T183349Z
LAST-MODIFIED:20170202T031956Z
UID:7353-1487325600-1487332800@idre.ucla.edu
SUMMARY:Python for High Performance Computing II
DESCRIPTION:Python\, originally developed as a general purpose programming language\, has gained its popularity in the scientific community in recently years owning to its elegant and easy- to-understand syntax and powerful libraries. Python fully supports both functional and object-oriented programming styles. This class will present a number useful features of Python in the context of scientific computing\, and introduce a number of supporting packages\, including numpy for array-based computations and h5py to access HDF5 files\, and the use of Python in parallel computing (MPI style). \nThis is part 2 of a 2-part presentation.
URL:https://idre.ucla.edu/calendar-event/python-high-performance-computing-ii
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170215T114500
DTEND;TZID=America/Los_Angeles:20170215T130000
DTSTAMP:20260406T160319
CREATED:20170118T200050Z
LAST-MODIFIED:20170211T053711Z
UID:7310-1487159100-1487163600@idre.ucla.edu
SUMMARY:Data as Infrastructure: CDS\, Astronomy and beyond
DESCRIPTION:  \n  \n  \nSpeaker: Dr. Françoise Genova\,\nAstronomer\, Centre de Données astronomiques de Strasbourg \nTime:  12 p.m. to 1 p.m. (Lunch will be served*)\nDate: Feb 15\, 2017\nLocation:  5628\, Math Sciences Building \nRegistration: https://idre.ucla.edu/calendar-event/data-as-infrastructure#rsvp ‎ \n  \nAbstract: Science data sharing is currently high in the political agenda\, but some disciplines began to share their data long ago. Astronomy has been at the forefront\, and now data is one of the discipline research infrastructures widely used by astronomers in their daily research work. The pioneering work of Strasbourg astronomical data centre CDS\, which was founded in 1972\, will be described\, as well as the astronomical data network and its global interoperability layer\, the Virtual Observatory. Many other disciplines are establishing structures to share their data\, which vary considerably by their culture and history. A few French examples (humanities\, earth sciences) will be described. Finally\, the way the Research Data Alliance (RDA) tackles the general question of enabling research data sharing will be briefly discussed. \nSpeaker: Françoise Genova was the director of the Strasbourg astronomical data centre CDS from 1995 to 2015\, and one of the founding parents of the astronomical Virtual Observatory project. She has coordinated several projects dealing with the European Virtual Observatory. She currently leads the “Data Access\, Discovery and Interoperability” Work Package of the European ASTERICS astronomy Cluster\, which aims to optimize the usage of data from large astronomical projects through the Virtual Observatory. She was a member of the High Level Expert Group on Scientific Data of the European Commission\, which wrote the “Riding the wave” report (2010) and the subsequent “Data Harvest” report. She is co-chair of the RDA Technical Advisory Board\, and an active member to several RDA Europe projects. She is a current member of the Data Seal of Approval Board\, and a past member of the WDS Scientific Committee (2009-2015) and of CODATA Executive Committee (2010-2012). \n*Lunch will be served at 11:45 AM.\n**To ensure you have a space at the seminar\, please RSVP by Feb. 10\, 2017.
URL:https://idre.ucla.edu/calendar-event/data-as-infrastructure
CATEGORIES:Conferences and Seminars,Meetings,Presentations
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170214T090000
DTEND;TZID=America/Los_Angeles:20170214T120000
DTSTAMP:20260406T160319
CREATED:20161102T230444Z
LAST-MODIFIED:20161102T230444Z
UID:6977-1487062800-1487073600@idre.ucla.edu
SUMMARY:Introduction to Regression with SPSS
DESCRIPTION:This workshop will introduce some fundamental topics in regression analysis using SPSS in three parts. The first part will begin with a brief overview of the SPSS environment\, as well simple data exploration techniques to ensure accurate analysis using simple and multiple regression. The second part will introduce regression diagnostics such as checking for normality of residuals\, unusual and influential data\, homoscedasticity and multicollinearity. The third part of this workshop will introduce categorical variables.  Special attention will be given to interpreting a two-way categorical interaction with dummy variables and multiple-category predictors.
URL:https://idre.ucla.edu/calendar-event/introduction-regression-spss-2
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170210T100000
DTEND;TZID=America/Los_Angeles:20170210T120000
DTSTAMP:20260406T160319
CREATED:20170123T183535Z
LAST-MODIFIED:20170202T032015Z
UID:7351-1486720800-1486728000@idre.ucla.edu
SUMMARY:Python for High Performance Computing I
DESCRIPTION:Python\, originally developed as a general purpose programming language\, has gained its popularity in the scientific community in recently years owning to its elegant and easy- to-understand syntax and powerful libraries. Python fully supports both functional and object-oriented programming styles. This class will present a number useful features of Python in the context of scientific computing\, and introduce a number of supporting packages\, including numpy for array-based computations and h5py to access HDF5 files\, and the use of Python in parallel computing (MPI style). \nThis is part 1 of a 2-part presentation.
URL:https://idre.ucla.edu/calendar-event/python-high-performance-computing
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170209T100000
DTEND;TZID=America/Los_Angeles:20170209T120000
DTSTAMP:20260406T160319
CREATED:20170123T183807Z
LAST-MODIFIED:20170123T183807Z
UID:7349-1486634400-1486641600@idre.ucla.edu
SUMMARY:Using Hoffman2 cluster
DESCRIPTION:This session is a general introduction to how to use UCLA Hoffman2 Cluster. The objective is to familiarize current and potential cluster users with the Hoffman2 Cluster\, so they can make the best use of UCLA computational resources. The following topics will be covered: \n1. How to access and login to the Hoffman2 Cluster\, primarily in terminal/command-line mode.\n2. Exploration of how to run various computational tasks on or from the Hoffman2 Cluster\, illustrated by hands-on example transcripts.\n3. A brief introduction to Univa Grid Engine (UGE) commands and how to achieve more control over resources. \nThis session is appropriate for entry-level and mid-level cluster users. No prerequisite knowledge is required\, but some working experience with basic Unix system commands and Fortran or C programming languages will be helpful.  The registrants are recommended to do a quick survey in the following link before the class: https://www.surveymonkey.com/r/5KW8LQ2
URL:https://idre.ucla.edu/calendar-event/using-hoffman2-cluster-2017-winter
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170208T114500
DTEND;TZID=America/Los_Angeles:20170208T130000
DTSTAMP:20260406T160319
CREATED:20170118T195927Z
LAST-MODIFIED:20170206T185451Z
UID:7323-1486554300-1486558800@idre.ucla.edu
SUMMARY:Big Data and Information Policies for Behavior Change
DESCRIPTION:  \n  \nSpeaker: Omar I. Asensio\, Ph.D.\, IDRE Scholar\nInstitute of the Environment & Sustainability\,\nAnderson School of Management Ziman Center\,\nUCLA \nTime:  12 p.m. to 1 p.m. (Lunch will be served*)\nDate: Feb 8\, 2017\nLocation:  5628\, Math Sciences Building \nRegistration:   https://idre.ucla.edu/calendar-event/big-data-and-information-policies#rsvp‎ \n  \nAbstract:\nMobile apps and smart metering technologies can provide a wealth of data and information to guide real-time decisions about consumption or investment. However\, we often have limited understanding of how information provided with these technologies can be framed to meet social or policy objectives. In this talk\, I will discuss experimental evidence on the effectiveness of information to drive energy conservation behavior in residential and commercial buildings. Emphasis will be placed on the framing of incentives\, smart metering and approaches to accelerate the adoption of innovations through changes in behavior. \nSpeaker’s bio:\nDr. Omar I. Asensio is a postdoctoral scholar at UCLA’s Institute of the Environment & Sustainability and the Anderson School of Management Ziman Center. He uses field experiments and quantitative methods to address innovation challenges related to energy\, transportation and urban sustainability. His forthcoming research on energy efficiency strategies in commercial buildings will be featured in Science – Editor’s choice section. He holds a doctorate in environmental science and engineering from UCLA and is a former National Science Foundation IGERT fellow with a topic in clean energy for green industry. \n*Lunch will be served at 11:45 AM.\n**To ensure you have a space at the seminar\, please RSVP by Feb 05\, 2017.
URL:https://idre.ucla.edu/calendar-event/big-data-and-information-policies
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170207T090000
DTEND;TZID=America/Los_Angeles:20170207T120000
DTSTAMP:20260406T160319
CREATED:20161102T230016Z
LAST-MODIFIED:20161102T230016Z
UID:6973-1486458000-1486468800@idre.ucla.edu
SUMMARY:Applied Survey Data Analysis with Stata
DESCRIPTION:This workshop will show how descriptive analyses\, both numerical and graphical\, can be done with continuous and categorical variables.  Subpopulation analysis will be discussed\, and then examples of OLS regression and logistic regression will be considered.
URL:https://idre.ucla.edu/calendar-event/applied-survey-data-analysis-stata
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170131T090000
DTEND;TZID=America/Los_Angeles:20170131T120000
DTSTAMP:20260406T160319
CREATED:20161102T225632Z
LAST-MODIFIED:20161102T230250Z
UID:6969-1485853200-1485864000@idre.ucla.edu
SUMMARY:Multiple Imputation in SAS 9.4
DESCRIPTION:The purpose of this workshop is to discuss commonly used techniques for handling missing data and common issues that could arise when these techniques are used. In particular\, the se workshop will focus on the one of the most commonly used modern methods\, multiple imputation.  The workshop will cover multiple imputation using the multivariate normal and imputation by chained equations as well as imputation diagnostics.
URL:https://idre.ucla.edu/calendar-event/multiple-imputation-sas-9-4
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170125T113000
DTEND;TZID=America/Los_Angeles:20170125T130000
DTSTAMP:20260406T160319
CREATED:20170104T222730Z
LAST-MODIFIED:20170111T214330Z
UID:7146-1485343800-1485349200@idre.ucla.edu
SUMMARY:Hoffman2 Users Group Meeting - Sold Out
DESCRIPTION:If you currently use Hoffman2 or are interested in doing so\, this is a great opportunity to get information on UCLA’s shared high-performance computing environment and provide feedback to the IDRE Research Technology Group on the future direction of the service. \nThe meeting will include a quick overview of the Hoffman2 cluster\, HPC storage\, and our Cloud Archival Storage Service (CASS). There will also be technical presentations on the scheduling system\, using tiered storage\, as well as other topics suggested by our user community. Most importantly we want to hear from you\, so bring your questions and ideas and get them heard. \nLunch will be served\, so please be sure to RSVP. \nA detailed agenda will be provided within the next couple of weeks. \nIf you have suggestions for topics that you feel would appeal to a broad audience of your fellow Hoffmn2 users\, please email them to Bill Labate\, labate@idre.ucla.edu. We will make every effort to incorporate your suggestions into the meeting as time permits. \nWe hope to see you there! \nThe IDRE Research Technology Group \n 
URL:https://idre.ucla.edu/calendar-event/hoffman2-users-group-meeting
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20161116T100000
DTEND;TZID=America/Los_Angeles:20161116T120000
DTSTAMP:20260406T160319
CREATED:20161102T225342Z
LAST-MODIFIED:20161102T225342Z
UID:6966-1479290400-1479297600@idre.ucla.edu
SUMMARY:Introduction to Structural Equation Modeling Using Stata
DESCRIPTION:This talk will introduce the concepts and jargon of structural equation modeling (SEM).  We will demonstrate how to fit SEMs for continuous outcomes using the -sem- command in Stata.  We will also demonstrate how use Stata’s -gsem- command to fit multilevel structural equation models that include continuous\, binary\, multinomial\, ordinal and count outcomes using a wide variety of link functions.
URL:https://idre.ucla.edu/calendar-event/introduction-structural-equation-modeling-using-stata
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20161109T114500
DTEND;TZID=America/Los_Angeles:20161109T130000
DTSTAMP:20260406T160319
CREATED:20161005T205330Z
LAST-MODIFIED:20161108T002215Z
UID:6612-1478691900-1478696400@idre.ucla.edu
SUMMARY:The Hacker Web Project: Exploring the Dark Side of the Web
DESCRIPTION:  \n  \n  \nSpeaker: Hsinchun Chen\, Ph.D.;\nArizona Regents’ Professor\,\nThomas R. Brown Chair Professor in Management and Technology\, University of Arizona;\nDirector\, Artificial Intelligence Lab; Fellow\, ACM\, IEEE\, AAAS \nTime:  12 p.m. to 1 p.m. (Lunch will be served*)\nLocation:  Kerckhoff Hall – Charles E. Young Grand Salon\nRegistration: https://idre.ucla.edu/calendar-event/hacker-web-project#rsvp\nAbstract: \nIn this talk I will review our highly-acclaimed NSF-funded Hacker Web research\, which develops advanced data\, text and web mining techniques to explore the international underground hacker community. Selected research in identifying key hackers\, important hacker assets\, and emerging threats in the carding community will be presented. Via collaboration with the intelligence community and the industry\, we have also developed tools and datasets for assisting the law enforcement and security analytics community. \nFor more project information\, see: https://ai.arizona.edu/research/cyber\nFor recent NSF press information\, see: https://nsf.gov/discoveries/disc_summ.jsp?cntn_id=136513&org=NSF \nAbout Speaker: \nDr. Hsinchun Chen graduated with BS at the National Chiao-Tong University (Taiwan)\,  MBA at SUNY Buffalo\, and MS and Ph.D. at New York University. He is the University of Arizona Regents’ Professor and Thomas R. Brown Chair Professor in Management and Technology. He is also a Fellow of ACM\, IEEE and AAAS. Dr. Chen recently served as the lead Program Director (expert) of the Smart and Connected (SCH) Program at the NSF (2014-2015)\, a multi-year multi-agency health IT research program of USA. He is author/editor of 20 books\, 280 SCI journal articles\, and 150 refereed conference articles covering digital library\, data/text/web mining\, business analytics\, security informatics\, and health informatics. His overall h-index is 91 (25\,000 citations for 900 papers according to Google Scholar)\, among the highest in management information systems and top 50 in computer science. Dr. Chen founded the Artificial Intelligence Lab at the University of Arizona in 1989\, which has received more than $40M in research funding from NSF\, NIH\, NLM\, DOD\, DOJ\, CIA\, DHS\, and other agencies (90 grants\, 40 from NSF). He has served as Editor-in-Chief of major ACM/IEEE\, and Springer journals and conference/program chair of major ACM/IEEE/MIS conferences in digital library\, information systems\, security informatics\, and health informatics. He is also a successful IT entrepreneur. His COPLINK/i2 system for security analytics was commercialized in 2000 and acquired by IBM as its leading government analytics product in 2011. Dr. Chen has served as an advisor to major federal research programs and was a Scientific Counselor of the National Library of Medicine (USA)\, National Library of China\, and Academia Sinica (Taiwan). He is a visiting chair professor at several major universities in China (Tsinghua University) and Taiwan (National Taiwan University). He is internationally renowned for leading the research and development in the health analytics (data and text mining; health big data; DiabeticLink and SilverLink) and security informatics (counter terrorism and cyber security analytics; security big data; COPLINK\, Dark Web and Hacker Web) communities. See: http://ai.arizona.edu/hchen. \n*Lunch will be ready at 11:45 AM.\n**To ensure you have a space at the seminar\, please RSVP by Nov. 3\, 2016. \n 
URL:https://idre.ucla.edu/calendar-event/hacker-web-project
LOCATION:Kerckhoff –  Charles E. Young Grand Salon\, 308 Westwood Plaza\, Los Angeles\, 90095\, United States
CATEGORIES:Conferences and Seminars,Education and Training,Presentations,UCLA event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20161108T090000
DTEND;TZID=America/Los_Angeles:20161108T120000
DTSTAMP:20260406T160319
CREATED:20161011T191119Z
LAST-MODIFIED:20161011T191119Z
UID:6659-1478595600-1478606400@idre.ucla.edu
SUMMARY:Introduction to R
DESCRIPTION:Introduction to R\, November 8:  R is a powerful statistical package that runs on many platforms\, including Windows\, Macintosh and Unix. 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 R class notes do not contain any of the computer output. The class notes are not meant to be an R textbook or a reference manual. However\, it is possible for individuals to use the class notes to help in learning R even if they don’t enroll in the workshop.
URL:https://idre.ucla.edu/calendar-event/introduction-to-r-3
LOCATION:CLICC Classroom C\, 320 Powell Library\, 10740 Dickson Court\, Los Angeles\, CA\, 90095\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20161024T090000
DTEND;TZID=America/Los_Angeles:20161024T120000
DTSTAMP:20260406T160319
CREATED:20160808T223143Z
LAST-MODIFIED:20160815T213619Z
UID:6238-1477299600-1477310400@idre.ucla.edu
SUMMARY:Introduction to R
DESCRIPTION:Introduction to R\, October 24:  R is a powerful statistical package that runs on many platforms\, including Windows\, Macintosh and Unix. 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 R class notes do not contain any of the computer output. The class notes are not meant to be an R textbook or a reference manual. However\, it is possible for individuals to use the class notes to help in learning R even if they don’t enroll in the workshop. \n 
URL:https://idre.ucla.edu/calendar-event/introduction-to-r-2
LOCATION:CLICC Classroom B\, 320 Powell Library\, 10740 Dickson Court\, Los Angeles\, CA\, 90095\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20161020T140000
DTEND;TZID=America/Los_Angeles:20161020T160000
DTSTAMP:20260406T160319
CREATED:20160912T214439Z
LAST-MODIFIED:20160912T220443Z
UID:6340-1476972000-1476979200@idre.ucla.edu
SUMMARY:Computing Environment on Linux – II
DESCRIPTION:The second session of the Computing Environment on Linux is about the use of the 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\, available on most flavors of the Linux environment.
URL:https://idre.ucla.edu/calendar-event/computing-linux-ii
LOCATION:Kerckhoff –  Charles E. Young Grand Salon\, 308 Westwood Plaza\, Los Angeles\, 90095\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20161020T100000
DTEND;TZID=America/Los_Angeles:20161020T110000
DTSTAMP:20260406T160319
CREATED:20161012T235018Z
LAST-MODIFIED:20161012T235018Z
UID:6736-1476957600-1476961200@idre.ucla.edu
SUMMARY:A Tour and Discussion of Free SAS Resources for Teaching
DESCRIPTION:A SAS representative would like to introduce professors (and UCLA researchers in general) about free SAS resources that can be used for teaching.  The event will involve a short presentation by the SAS representative\, but will mostly be a Q&A session.
URL:https://idre.ucla.edu/calendar-event/tour-discussion-free-sas-resources-teaching
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20161018T140000
DTEND;TZID=America/Los_Angeles:20161018T160000
DTSTAMP:20260406T160319
CREATED:20160912T213214Z
LAST-MODIFIED:20160912T220542Z
UID:6336-1476799200-1476806400@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 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 normal tasks after going through this session.
URL:https://idre.ucla.edu/calendar-event/computing-linux-i
LOCATION:Kerckhoff –  Charles E. Young Grand Salon\, 308 Westwood Plaza\, Los Angeles\, 90095\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20161017T090000
DTEND;TZID=America/Los_Angeles:20161017T120000
DTSTAMP:20260406T160319
CREATED:20160808T223041Z
LAST-MODIFIED:20160815T213606Z
UID:6237-1476694800-1476705600@idre.ucla.edu
SUMMARY:Introduction to SPSS
DESCRIPTION:Introduction to SPSS\, October 17:  SPSS is a very easy-to-use statistical package that runs on Windows\, Macintosh and UNIX platforms. This class is designed for people who are just starting to use SPSS. The students in the class will have a hands-on experience using SPSS for doing statistics\, graphics\, and data management. The class notes are the scripts for the class. The SPSS class notes do not contain any of the computer output. The class notes are not meant to be an SPSS textbook or a reference manual. However\, it is possible for individuals to use the class notes to help them learn SPSS even if they don’t enroll in the workshop.  These notes were developed using SPSS version 22\, but most of the material should work with slightly earlier or later versions of SPSS. \n  \n 
URL:https://idre.ucla.edu/calendar-event/introduction-to-spss-2
LOCATION:CLICC Classroom B\, 320 Powell Library\, 10740 Dickson Court\, Los Angeles\, CA\, 90095\, United States
ORGANIZER;CN="UCLA IDRE Statistical Consulting":MAILTO:idrestat@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20161013T140000
DTEND;TZID=America/Los_Angeles:20161013T160000
DTSTAMP:20260406T160319
CREATED:20160822T171213Z
LAST-MODIFIED:20160822T220928Z
UID:6267-1476367200-1476374400@idre.ucla.edu
SUMMARY:Introduction to MPI (Message Passing Interface)
DESCRIPTION:MPI (message passing interface) is the de facto standard for distributed-memory parallel scientific computing. While the entire MPI API is quite extensive\, this class will cover a number of key ingredients commonly used in practice. This class is useful for those who plan to start writing MPI code\, and for those who would like to know how MPI works in order to operate an existing MPI code. Working knowledge of C and Fortran programming languages will be very helpful to follow the class materials.  \nSpecifically\, we will discuss: \n\nMPI basics\nOne-to-one communication examples\nCollective communication examples\nRunning MPI programs
URL:https://idre.ucla.edu/calendar-event/introduction-to-mpi-2016-fall
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20161012T140000
DTEND;TZID=America/Los_Angeles:20161012T160000
DTSTAMP:20260406T160319
CREATED:20160822T171358Z
LAST-MODIFIED:20160926T233306Z
UID:6265-1476280800-1476288000@idre.ucla.edu
SUMMARY:Job scheduling on Hoffman2 cluster
DESCRIPTION:We will discuss how to effectively run jobs on Hoffman2 cluster. Hoffman2 cluster serves a wide spectrum of user applications and is almost always heavily loaded. Different kinds of jobs impose conflicting conditions in terms of job scheduling\, given available computing resources. We will first review the components of Hoffman2 cluster\, the shared cluster model\, followed by fundamentals of using it’s job scheduler\, Univa Grid Engine. Then a number of use cases will be discussed in details. The materials covered in “Using Hoffman2 cluster” is highly recommended\, but not strictly required\, prior to attending this class. \nSpecifically\, we will discuss: \n\nSingle-CPU jobs\nMulti-CPU\, same-node jobs\nMultiple-node (MPI-style) jobs\nJob arrays\nTechniques to inspect and fix stuck jobs
URL:https://idre.ucla.edu/calendar-event/job-scheduling-on-hoffman2-cluster-2016-fall
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20161010T090000
DTEND;TZID=America/Los_Angeles:20161010T120000
DTSTAMP:20260406T160319
CREATED:20160808T222927Z
LAST-MODIFIED:20160815T213411Z
UID:6236-1476090000-1476100800@idre.ucla.edu
SUMMARY:Introduction to SAS
DESCRIPTION:Introduction to SAS\, October 10:  SAS is a powerful statistical package that runs on many platforms\, including Windows and Unix. This class is designed for people who are just getting started using SAS. The students in the class will have a hands-on experience using SAS for statistics\, graphics\, and data management. The SAS class notes do not contain any of the computer output. The class notes are not meant to be a SAS textbook or a reference manual. However\, it is possible for individuals to use the class notes to help in learning SAS even if they don’t enroll in the workshop. \n  \n 
URL:https://idre.ucla.edu/calendar-event/introduction-to-sas-2
LOCATION:CLICC Classroom B\, 320 Powell Library\, 10740 Dickson Court\, Los Angeles\, CA\, 90095\, United States
ORGANIZER;CN="UCLA IDRE Statistical Consulting":MAILTO:idrestat@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20161006T140000
DTEND;TZID=America/Los_Angeles:20161006T160000
DTSTAMP:20260406T160319
CREATED:20160819T201048Z
LAST-MODIFIED:20160822T171254Z
UID:6263-1475762400-1475769600@idre.ucla.edu
SUMMARY:Using Hoffman2 Cluster
DESCRIPTION:This session is a general introduction to how to use UCLA Hoffman2 Cluster. The objective is to familiarize current and potential cluster users with the Hoffman2 Cluster\, so they can make the best use of UCLA computational resources. The following topics will be covered: \n\n How to access and login to the Hoffman2 Cluster\, primarily in terminal/command-line mode.\n Exploration of how to run various computational tasks on or from the Hoffman2 Cluster\, illustrated by hands-on example transcripts.\n A brief introduction to Univa Grid Engine (UGE) commands and how to achieve more control over resources.\n\nThis session is appropriate for entry-level and mid-level cluster users. No prerequisite knowledge is required\, but some working experience with basic Unix system commands and Fortran or C programming languages will be helpful. \nPlease submit this pre-class survey when you sign up: https://www.surveymonkey.com/r/6P6RH6J
URL:https://idre.ucla.edu/calendar-event/using-hoffman2-cluster-2016-fall
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20161003T090000
DTEND;TZID=America/Los_Angeles:20161003T120000
DTSTAMP:20260406T160319
CREATED:20160808T210907Z
LAST-MODIFIED:20160815T214043Z
UID:6234-1475485200-1475496000@idre.ucla.edu
SUMMARY:Introduction to Stata
DESCRIPTION:Introduction to Stata\, October 3:  Stata 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 Stata.  The students in the class will have a hands-on experience using Stata for statistics\, graphics and data management.  The class notes are the scripts for the class available to the students in the class and to others on the Internet.  The Stata class notes do not contain any of the output.  The class notes are not meant to be a Stata textbook or a reference manual.  However\, it is possible for individuals to use the class notes to help in learning Stata even if they don’t enroll in the workshop. \n 
URL:https://idre.ucla.edu/calendar-event/introduction-to-stata-2
LOCATION:CLICC Classroom B\, 320 Powell Library\, 10740 Dickson Court\, Los Angeles\, CA\, 90095\, United States
ORGANIZER;CN="UCLA IDRE Statistical Consulting":MAILTO:idrestat@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20160908T090000
DTEND;TZID=America/Los_Angeles:20160909T170000
DTSTAMP:20260406T160319
CREATED:20160816T172946Z
LAST-MODIFIED:20160817T230313Z
UID:6251-1473325200-1473440400@idre.ucla.edu
SUMMARY:SAS Workshop: SQL 1: Essentials
DESCRIPTION:This course teaches you how to process SAS data using Structured Query Language (SQL). This course can help prepare you for the following certification exam(s): SAS Advanced Programming Exam for SAS 9. Learn how to query and subset data\, summarize and present data\, combine tables\, including complex joins and merges\, create and modify table views and indexes and replace multiple DATA and PROC steps with one SQL query. This workshop will be taught by instructors from SAS. There will be no online component to this workshop. \nOnly those who are currently affiliated with the University of California may attend this workshop. \nRSVP
URL:https://idre.ucla.edu/calendar-event/sas-workshop-sql-1-essentials
LOCATION:CLICC Classroom B\, 320 Powell Library\, 10740 Dickson Court\, Los Angeles\, CA\, 90095\, United States
ORGANIZER;CN="UCLA IDRE Statistical Consulting":MAILTO:idrestat@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20160906T090000
DTEND;TZID=America/Los_Angeles:20160907T170000
DTSTAMP:20260406T160319
CREATED:20160816T172709Z
LAST-MODIFIED:20160829T223246Z
UID:6249-1473152400-1473267600@idre.ucla.edu
SUMMARY:SAS Workshop: SAS Programming 1: Essentials
DESCRIPTION:This course is for users who want to learn how to write SAS programs. It is the entry point to learning SAS programming and is a prerequisite to many other SAS courses. Learn how to\, navigate the SAS Studio programming environment\, navigate the SAS Enterprise Guide programming\, environment\, navigate the SAS windowing environment\, read various types of data into SAS data sets\, create SAS variables and subset data\, combine SAS data sets and create and enhance listing and summary reports. This workshop will be taught by instructors from SAS. There will be no online component to this workshop. \nOnly those who are currently affiliated with the University of California may attend this workshop. \nRSVP
URL:https://idre.ucla.edu/calendar-event/sas-workshop-sas-programing-1-essentials
LOCATION:CLICC Classroom B\, 320 Powell Library\, 10740 Dickson Court\, Los Angeles\, CA\, 90095\, United States
ORGANIZER;CN="UCLA IDRE Statistical Consulting":MAILTO:idrestat@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20160809T080000
DTEND;TZID=America/Los_Angeles:20160810T150000
DTSTAMP:20260406T160319
CREATED:20160713T172511Z
LAST-MODIFIED:20160713T172833Z
UID:6207-1470729600-1470841200@idre.ucla.edu
SUMMARY:Workflows Workshop
DESCRIPTION:In collaboration with Blue Waters sustained-petascale computing project\, UCLA Institute for Digital Research and Education (IDRE) is happy to host the following workshop on workflows. \nFree Workflows Workshop: \nRegistration is now open for a free Workflows Workshop to be held August 9-10\, 2016 at multiple institutions across the country including UCLA-IDRE. Sponsored by the Blue Waters sustained-petascale computing project\, this workshop will provide an overview of workflows and how they can enhance research productivity. \nA general session on the value of workflows will be followed by presentations and hands-on sessions with six different workflows. The objective is to assist the community in understanding the capabilities of these various workflows and to get people started with their usage. These include: \n\nGeneral overview of workflows; Why use them?\, presented by Scott Callaghan\, University of Southern California\nCopernicus\, presented by Peter Kasson\, University of Virginia\nGalaxy\, presented by Dave Clements\, Johns Hopkins University\nMakeflow/WorkQueue\, presented by Nicholas Hazekamp\, University of Notre Dame\nPegasus\, presented by Karan Vahi and Mats Rynge\, Information Sciences Institute\nRADICAL Cybertools\, presented by Shantenu Jha\, Rutgers University\nSwift\, presented by Mike Wilde\, Argonne National Laboratory\n\nThe presentations will be followed by a question and answer period to address questions from the community. Additional information on the workshop is available at https://sites.google.com/a/illinois.edu/workflows-workshop/home \nThe sites hosting this workshop include: \n\nUCLA-IDRE\nGeorgia State University\nNCSA – University of Illinois at Urbana-Champaign\nMichigan State University\nOklahoma State University\nPurdue University\nStanford University\nTexas Tech University\nUniversity of Kentucky\nUniversity of Houston\nUniversity of Utah\nUniversity of Wyoming\n\nYou may register for this workshop through the XSEDE User Portal at: https://portal.xsede.org/course-calendar by August 2\, 2016. There is a registration button for each site\, be sure you select UCLA site in order to attend at UCLA-IDRE. \nThe Blue Waters sustained-petascale computing project is supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993) and the state of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications.
URL:https://idre.ucla.edu/calendar-event/workflows-workshop
LOCATION:Kerckhoff –  Charles E. Young Grand Salon\, 308 Westwood Plaza\, Los Angeles\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training,UCLA event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20160620T090000
DTEND;TZID=America/Los_Angeles:20160620T180000
DTSTAMP:20260406T160319
CREATED:20160527T170130Z
LAST-MODIFIED:20160527T170515Z
UID:6181-1466413200-1466445600@idre.ucla.edu
SUMMARY:Advanced Challenges in Theory and Practice in 3D Modeling of Cultural Heritage Sites Symposium
DESCRIPTION:Funded by the National Endowment for the Humanities\, this two-day symposium on Advanced Challenges in Theory and Practice in 3D Modeling of Cultural Heritage Sites will be held on Monday\, June 20\, and Tuesday\, June 21. This event is the culmination of an Advanced Topics in the Digital Humanities Summer Institute co-hosted by University of Massachusetts Amherst and UCLA. In 2015\, participants gathered for a week at UMass Amherst to discuss key issues and challenges facing scholars working with 3D with institute faculty\, and define research questions to be explored in the subsequent academic year. These findings will be presented at the UCLA symposium. A program schedule is posted on the  Advanced Challenges website as well as  Abstracts. Remote participation is also welcomed\, and a Zoom link will be posted on the Advanced Challenges website prior to the event. RSVP here
URL:https://idre.ucla.edu/calendar-event/advanced-challenges-theory-practice-3d-modeling-cultural-heritage-sites-symposium
LOCATION:Young Research Library\, West Classroom\, 280 Charles E Young Dr N\, Los Angeles\, CA\, 90095\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20160601T140000
DTEND;TZID=America/Los_Angeles:20160601T150000
DTSTAMP:20260406T160319
CREATED:20160524T230613Z
LAST-MODIFIED:20160524T230652Z
UID:6160-1464789600-1464793200@idre.ucla.edu
SUMMARY:Code for the Mission: Coffee & Cookie Break
DESCRIPTION:Come and join us in the Portal for a Code for the Mission – Coffee and Cookie break “Meetup”!  \nWant to build an app over the summer and win $5000 in September? Want to team up with Faculty Who have exciting app concepts?  \nHave a neat idea for an App that will fit this year’s CFTM Themes of:\n•	Inspiring Women in STEM\n•	MHealth: Sensors\, Wearables and Data Dashboards\n•	Promoting Community Engagement and Civil Discourse  \nFind out more about the contest\, and specific dates\, talk to people who have App Ideas or come and recruit technologists to help you make your app a reality! \nRSVP here
URL:https://idre.ucla.edu/calendar-event/code-mission-coffee-cookie-break
LOCATION:Kerckhoff –  Charles E. Young Grand Salon\, 308 Westwood Plaza\, Los Angeles\, 90095\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20160531T113000
DTEND;TZID=America/Los_Angeles:20160531T130000
DTSTAMP:20260406T160319
CREATED:20160510T220741Z
LAST-MODIFIED:20160523T225730Z
UID:6142-1464694200-1464699600@idre.ucla.edu
SUMMARY:IDRE Early Career Researchers Lunch and Meeting
DESCRIPTION:IDRE Early Career Researchers Lunch and Meeting\nDate and Time: May 31\, 2016 at 11:30 AM (Lunch will be served*)\nLocation: Visualization Portal\, 5628 Math Sciences Bldg.\nRSVP**: Link \nThis IDRE Early Career Researchers Lunch and Meeting is the first in a series of informal get-togethers for young researchers in the computational sciences. Realizing that dedicated and talented early career research faculty\, postdoctoral researchers\, and graduate students are key to establishing active and ongoing collaborations across campus\, this meeting is the first step toward developing a community of early career researchers within IDRE. Discussion topics at the meeting will include: (1) the ideal organization of an IDRE-sponsored early career researchers group\, (2) the types of activities within IDRE that would be desirable (e.g.\, social events\, working groups\, ‘Birds of a Feather’ lunches\, seminars\, colloquiums\, or opportunities for invited speakers of interest)\, and (3) the process for electing two members of the group to the IDRE Executive Committee. \n*Lunch will be served.\n**To ensure you have a space at the seminar\, please RSVP ONLINE as soon as possible. \n  \n 
URL:https://idre.ucla.edu/calendar-event/idre-young-researchers-lunch-meeting
LOCATION:Kerckhoff –  Charles E. Young Grand Salon\, 308 Westwood Plaza\, Los Angeles\, 90095\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20160523T120000
DTEND;TZID=America/Los_Angeles:20160523T130000
DTSTAMP:20260406T160319
CREATED:20160509T234030Z
LAST-MODIFIED:20160509T234349Z
UID:6139-1464004800-1464008400@idre.ucla.edu
SUMMARY:Computing Fluid Flows on Multi-GPU Cluster using Lattice Boltzmann Method
DESCRIPTION: IDRE Seminar- GPU/Many cores program\nComputing Fluid Flows on Multi-GPU Cluster using Lattice Boltzmann Method\nChao-An Lin \nDepartment of Power Mechanical Engineering\, \nNational Tsing Hua University\, Hsinchu 30013 Taiwan \nDate and Time: May 23\, 2016 at 12:00 PM (Lunch will be served*)\nLocation: 5628 Math Sciences Bldg.\nRSVP**: http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3531&SecID=3518 \nAbstract:\nDue to its enhanced computational capability\, the graphic processing unit has drawn attention for non-graphic applications. The lattice Boltzmann method (LBM) as an explicit numerical scheme requiring only neighboring operations\, is very suitable for parallel or GPU computations. Thus\, GPU has been successfully used for lattice Bolztmann computations\, which demonstrated that the computational power of GPU far exceeds that of PC-based CPU. There are several strategies to further improve the GPU performance\, such as reducing the data transaction between host and device\, and using efficient memory management. Utilizing shared memory was shown to increase the performance of GPU. Another way to increase the performance is adopting different streaming strategy to optimize the data transfer between the GPU global memory and shared memory. On the other hand\, multi-GPU computation can certainly elevate the performance. This can be achieved by using multi GPUs on a single node through OpenMP. Alternatively\, for cross node GPU computations\, Message Passing Interface (MPI) on cluster of GPUs can be employed. Here\, issues\, such as the memory management and the latency during multi-GPU computations are addressed to seek possible enhancement of the computational efficiency. Numerical examples investigated are turbulent duct and channel flows and two phase flows of colliding liquid droplets. \nSpeaker’s Bio:\nProfessor Chao-An Lin received his BSc in Mechanical Engineering from National Chiao Tung University\, Taiwan and M.Sc. and Ph.D. in Mechanical Engineering from University of Manchester Institute of Science and Technology (UMIST)\, UK in 1986 and 1991. After one year postdoctoral work at UMIST\, in 1991 Dr. Lin joined the faculty of the department of Power Mechanical Engineering at National Tsing Hua University in Taiwan\, where he also served as the deputy chair (2007-2009) and department chair (2009 -2015).  He is also the honorary visiting professor at University of Liverpool\, UK (2015-2019).\nProfessor Lin’s research interests include flow physics and turbulence modeling\, bio-medical fluid dynamics and development of efficient numerical methods and in particular the development of immersed boundary method\, lattice Boltzmann method and simulations using multi-GPU cluster. Professor Lin is the associate fellow of American Institute of Aeronautics and Astronautics and is also members of the executive committees of Taiwan society of mechanical engineer and Taiwan society of Aeronautics and Astronautics.  Dr. Lin was the recipient of Shila Mo memorial prize of UMIST (UK) in 1991\, and was awarded the distinguished teacher award from ministry of education of Taiwan in 2008. He also serves in different committees of international conferences (Parallel CFD\, Turbulent Shear Flow Phenomenon\, ERCOFTAC Symposium on Engineering Turbulence Modeling and Measurements\, Asian Symposium on Computational Heat Transfer and Fluid Flow\, Asia CFD). He edited special issues in Computers and Fluids\, and Computers and Mathematics with Applications\, and Energies. Prof. Lin is in the advisory board of Journal of Computational Mechanics and serves as associate editor of Journal of mechanics. \n*Lunch will be ready at 11:45 AM.\n**To ensure you have a space at the seminar\, please RSVP ONLINE by May 18\, 2016.
URL:https://idre.ucla.edu/calendar-event/computing-fluid-flows-multi-gpu-cluster-using-lattice-boltzmann-method
LOCATION:Kerckhoff –  Charles E. Young Grand Salon\, 308 Westwood Plaza\, Los Angeles\, 90095\, United States
CATEGORIES:Conferences and Seminars,Education and Training,Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20160505T120000
DTEND;TZID=America/Los_Angeles:20160505T130000
DTSTAMP:20260406T160319
CREATED:20160415T191444Z
LAST-MODIFIED:20160415T191444Z
UID:6123-1462449600-1462453200@idre.ucla.edu
SUMMARY:IDRE Seminar: Computational challenges and solutions in an analysis of large-scale whole genome sequencing data
DESCRIPTION:IDRE Seminar – Computation and Storage\, Data Informatics\nComputational challenges and solutions in an analysis of large-scale whole genome sequencing data\n\nSpeakers: \nEleazar Eskin1\, Giovanni Goppola2\, and Jae Hoon Sul2 \n1Professor\, Computer Science – Human Genetics\n2Professor\, Psychiatry & Biobehavioral Sciences\nUniversity of California\, Los Angeles \nDate and Time: May 5th\, 2016 at 12:00 PM(Lunch will be served*)\nLocation: 5628 Math Sciences Bldg.\nRSVP**: http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3503&SecID=3491 \nAbstract:\nWhole-genome sequencing (WGS) technologies have emerged as a powerful approach to interrogate complete genome sequences. As the cost of next-generation sequencing decreases at a rate faster than that described by Moore’s law\, an increasing number of genomics studies are utilizing WGS to identify genetic variants that influence one’s susceptibility to diseases. Identifying those genetic variants is very important because they aid studies to identify the genetic basis of diseases and eventually to develop a personalized treatments for individuals based on their genome sequences\, which is a major goal of precision medicine. UCLA has already performed WGS of thousands of individuals and has plans to sequence a greater number of individuals. However\, analyzing large genomic data sets is computationally challenging and requires a vast amount of computational resources. \n*Lunch will be ready at 11:45 AM.\n**To ensure you have a space at the seminar\, please RSVP ONLINE by April 30\, 2016.
URL:https://idre.ucla.edu/calendar-event/idre-seminar-computational-challenges-solutions-analysis-large-scale-whole-genome-sequencing-data
CATEGORIES:Classes and Workshops,Conferences and Seminars,Presentations
END:VEVENT
END:VCALENDAR