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DTSTART;TZID=America/Los_Angeles:20160523T120000
DTEND;TZID=America/Los_Angeles:20160523T130000
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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:20260429T151346
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
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20160429T150000
DTEND;TZID=America/Los_Angeles:20160429T170000
DTSTAMP:20260429T151346
CREATED:20160407T225225Z
LAST-MODIFIED:20160407T225322Z
UID:6108-1461942000-1461949200@idre.ucla.edu
SUMMARY:The Spring 2016 Mapping for Research Series: Lecture 3 – Got Visualization? Methods in mapping data
DESCRIPTION:The Spring 2016 Mapping for Research Series \nGet.Into.Spring with G.I.S and your research \nSpring is in the air and there is no better time to think about how mapping could impact your work.\nJoin us this April and dive into the world of mapping. Explore the latest digital mapping technologies and make your research project come to life. \nThis series will feature:\n• Overview of historical maps\, digital mapping\, and UCLA resources supporting GIS and spatial thinking\n• Visualizing methods with CartoDB and Palladio\n• Engaging in lightening talks with current researchers utilizing maps\nOur focus will be on spatial technologies\, as well as fostering discussions on various approaches for research projects.\nThese free sessions are being co-sponsored by UCLA’s Institute for Digital Research and Education and the UCLA Library. \nIn this session\, explore the use of CartoDB for generating visually appealing online maps. For more information please visit: Spring 2016 Mapping for Research Series
URL:https://idre.ucla.edu/calendar-event/spring-2016-mapping-research-series-lecture-3-got-visualization-methods-mapping-data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20160427T090000
DTEND;TZID=America/Los_Angeles:20160427T150000
DTSTAMP:20260429T151346
CREATED:20160413T165414Z
LAST-MODIFIED:20160413T165852Z
UID:6121-1461747600-1461769200@idre.ucla.edu
SUMMARY:2016 BruinTech-a-thon Conference
DESCRIPTION:The BruinTech Board is proud to announce the 2016 BruinTech-a-thon\, a mini conference where tech enthusiasts from around campus will give 30 minute presentations on the work they are doing in their departments. The event will feature presentations on a wide variety of current IT projects\, issues\, strategies\, and techniques\, as well as the opportunity to meet and exchange ideas with fellow BruinTechs. \nThe Tech-a-thon will take place April 27\, 2016 in the IDRE Portal (5628 Math Science Building) from 9:00 am – 2:30 pm. This event will not be live streamed or video recorded. \nRSVP NOW.
URL:https://idre.ucla.edu/calendar-event/2016-bruintech-thon-conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20160422T140000
DTEND;TZID=America/Los_Angeles:20160422T160000
DTSTAMP:20260429T151346
CREATED:20160407T224839Z
LAST-MODIFIED:20160407T225812Z
UID:6105-1461333600-1461340800@idre.ucla.edu
SUMMARY:The Spring 2016 Mapping for Research Series: Lecture 2 – Mapping Applied: Earth Day Lightning Talks
DESCRIPTION:The Spring 2016 Mapping for Research Series \nGet.Into.Spring with G.I.S and your research \nSpring is in the air and there is no better time to think about how mapping could impact your work.\nJoin us this April and dive into the world of mapping. Explore the latest digital mapping technologies and make your research project come to life. \nThis series will feature:\n• Overview of historical maps\, digital mapping\, and UCLA resources supporting GIS and spatial thinking\n• Visualizing methods with CartoDB and Palladio\n• Engaging in lightening talks with current researchers utilizing maps\nOur focus will be on spatial technologies\, as well as fostering discussions on various approaches for research projects.\nThese free sessions are being co-sponsored by UCLA’s Institute for Digital Research and Education and the UCLA Library. \nIn this session\, listen and engage with speakers on their research related to the environment and their mapping practices. For more information please visit: Spring 2016 Mapping for Research Series
URL:https://idre.ucla.edu/calendar-event/6105
LOCATION:“De Cafe”\, 1302 Perloff Hall
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20160415T150000
DTEND;TZID=America/Los_Angeles:20160415T170000
DTSTAMP:20260429T151346
CREATED:20160407T224005Z
LAST-MODIFIED:20160407T225606Z
UID:6102-1460732400-1460739600@idre.ucla.edu
SUMMARY:The Spring 2016 Mapping for Research Series: Lecture 1 - Intro to Maps: History and Beyond
DESCRIPTION:The Spring 2016 Mapping for Research Series \nGet.Into.Spring with G.I.S and your research \nSpring is in the air and there is no better time to think about how mapping could impact your work.\nJoin us this April and dive into the world of mapping. Explore the latest digital mapping technologies and make your research project come to life. \nThis series will feature:\n•    Overview of historical maps\, digital mapping\, and UCLA resources supporting GIS and spatial thinking\n•    Visualizing methods with CartoDB and Palladio\n•    Engaging in lightening talks with current researchers utilizing maps\nOur focus will be on spatial technologies\, as well as fostering discussions on various approaches for research projects.\nThese free sessions are being co-sponsored by UCLA’s Institute for Digital Research and Education and the UCLA Library. \nIn this session\, learn about mapping history\, resources\, and software. For more information please visit: Spring 2016 Mapping for Research Series
URL:https://idre.ucla.edu/calendar-event/spring-2016-mapping-research-series-lecture-1-intro-maps-history-beyond
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20160328T120000
DTEND;TZID=America/Los_Angeles:20160328T130000
DTSTAMP:20260429T151346
CREATED:20160303T231149Z
LAST-MODIFIED:20160308T183920Z
UID:6069-1459166400-1459170000@idre.ucla.edu
SUMMARY:IDRE Seminar: Electoral Incentives and the Allocation of Public Funds
DESCRIPTION:IDRE Seminar: Electoral Incentives and the Allocation of Public Funds\nSpeaker: Maurizio Mazzocco\,\nAssociate Professor\,\nDepartment of Economics\, UCLA \n  \nDate and time: March 28th\, 2016 at 12 PM (Lunch will be served*)\nLocation: 5628 Math Sciences Building\nRSVP: http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3502&SecID=3490 \n  \nAbstract:\nIt is widely believed that politicians allocate public resources in ways to maximize political gains. But what is less clear is whether this comes at a cost to welfare; and if so\, whether alternative electoral rules can help reduce these costs. In this paper\, we address both of these questions by modeling and estimating politicians’ decisions to allocate public funds. We use data from Brazil’s federal legislature\, which grants each federal legislator a budget to fund public projects in his state. We find that 26 percent of the public funds are distorted relative to a social planner’s allocation. We then use the model to simulate several potential policies reforms to the electoral system\, including adopting approval voting and implementing term limits. We find that an approval voting system reduces the distortions by 7.5 percent. Term limits also reduce distortions\, but come at the cost of more corruption\, which makes it a welfare-reducing policy. \nSpeaker’s Bio:\nMaurizio Mazzocco is an applied microeconomist whose research focuses on three areas of economics: family intertemporal decisions; heterogeneity in risk preferences and decisions under uncertainty; political economy and development economics. He received his Ph.D. from the economics department at the University of Chicago. In his research\, Mazzocco makes use of the available data to uncover empirical patterns that can be used to understand the decisions of individuals in developing and developed countries. These patterns are used as the basis for developing theoretical models of individual decisions. The models are then employed to evaluate the potential effects of policies aimed at improving the individual welfare. Maurizio’s research involves substantial usage of High Performance Computing. He is one of the power users of UCLA’s main computing resource\, i.e.\, Hoffman2 cluster\, from Economics Department. \n*Lunch will be ready at 11:45 AM.\n**To ensure you have a space at the seminar\, please RSVP ONLINE by March 24th\, 2016.
URL:https://idre.ucla.edu/calendar-event/idre-seminar-allocation-public-funds
CATEGORIES:Conferences and Seminars,Presentations,UCLA event
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20160321
DTEND;VALUE=DATE:20160323
DTSTAMP:20260429T151346
CREATED:20160302T200313Z
LAST-MODIFIED:20160302T200402Z
UID:6060-1458518400-1458691199@idre.ucla.edu
SUMMARY:Statistics 1: Introduction to ANOVA\, Regression and Logistic Regression with SAS
DESCRIPTION:This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests\, ANOVA\, and linear regression\, and includes a brief introduction to logistic regression. Attendees should have the equivalent of an undergraduate course in statistics covering p- values\, hypothesis testing\, analysis of variance\, and regression\, and be able to execute SAS programs and create SAS data sets.  \nNOTE: Only researchers currently affiliated with the University of California may attend this workshop. This will be a hands-on workshop. There will be no online component associated with this workshop. \nThis is a two-day workshop on Monday\, March 21 and Tuesday\, March 22 from 9 am to 5 pm on both days.
URL:https://idre.ucla.edu/calendar-event/statistics-1-introduction-anova-regression-logistic-regression-sas
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20160310T090000
DTEND;TZID=America/Los_Angeles:20160310T120000
DTSTAMP:20260429T151346
CREATED:20160302T200059Z
LAST-MODIFIED:20160302T200059Z
UID:6059-1457600400-1457611200@idre.ucla.edu
SUMMARY:R graphics: Introduction to ggplot2
DESCRIPTION:This workshop introduces the use of the ggplot2\, a powerful but easy-to-learn R package capable of producing some of the most attractive graphics of any statistical package. The underlying “grammar” of the graphics is taught with examples that emphasize data exploration and displaying the results of statistical modeling. The workshop assumes some basic knowledge of R. \nNon-UCLA researchers may attend this workshop.
URL:https://idre.ucla.edu/calendar-event/r-graphics-introduction-ggplot2
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20160303T090000
DTEND;TZID=America/Los_Angeles:20160303T120000
DTSTAMP:20260429T151346
CREATED:20160302T195916Z
LAST-MODIFIED:20160302T195916Z
UID:6058-1456995600-1457006400@idre.ucla.edu
SUMMARY:Introduction to Regression with SPSS
DESCRIPTION:This workshop will introduce some fundamental topics in regression analysis using SPSS. The workshop will be divided into three parts. We will begin with a brief overview of simple and multiple regression\, tying it back to familiar concepts such as correlation and t-tests. The second part will introduce regression diagnostics such as checking for normality of residuals\, unusual and influential data\, homoscedasticity and multicollinearity. Finally\, we will proceed to SPSS GLM to interpret a two-way categorical interaction with dummy variables\, and multiple category predictors.  \nNon-UCLA researchers may attend this workshop.
URL:https://idre.ucla.edu/calendar-event/introduction-regression-spss
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20160301T010000
DTEND;TZID=America/Los_Angeles:20160301T140000
DTSTAMP:20260429T151346
CREATED:20160114T200500Z
LAST-MODIFIED:20160114T200500Z
UID:5904-1456794000-1456840800@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 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 introduce the opportunities available to UCLA researchers in terms of the knowledge base\, allocation process as well as in terms of the optimization of their software. \nRSVP online: http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3492&SecID=3480
URL:https://idre.ucla.edu/calendar-event/national-leadership-class-computing-resources-and-opportunities-for-ucla-researchers-3
LOCATION:Kerckhoff –  Charles E. Young Grand Salon\, 308 Westwood Plaza\, Los Angeles\, 90095\, United States
CATEGORIES:Education and Training,Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20160224T130000
DTEND;TZID=America/Los_Angeles:20160224T150000
DTSTAMP:20260429T151346
CREATED:20160114T200128Z
LAST-MODIFIED:20160202T213319Z
UID:5903-1456318800-1456326000@idre.ucla.edu
SUMMARY:Profiling – Code clinic session
DESCRIPTION:The purpose of this session is to describe few basic profiling techniques and help researchers in gaining more insight into how well their application code runs on Hoffman2 or other computer systems. \nIn particular the focus is on:\nProfiling techniques that are available on Hoffman2.\nHands-on exercises using an example code – bring your own software. \nPrerequisite: User account on Hoffman2 (apply here if you don’t have one) and your software on Hoffman2. \nLaptop requirements:  Bring your own laptop to access the Hoffman2 cluster remotely. \nRSVP online: http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3493&SecID=3481
URL:https://idre.ucla.edu/calendar-event/profiling-code-clinic-session-4
LOCATION:OIT Conference Room 5907\, 5907 Math Sciences Building\, 520 Portola Plaza\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20160216T130000
DTEND;TZID=America/Los_Angeles:20160216T150000
DTSTAMP:20260429T151346
CREATED:20160114T194227Z
LAST-MODIFIED:20160114T194227Z
UID:5902-1455627600-1455634800@idre.ucla.edu
SUMMARY:Computing Environment on Linux - II
DESCRIPTION:The second session of Computing Environment on Linux is about 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. \nRegistration link: http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3491&SecID=3479
URL:https://idre.ucla.edu/calendar-event/computing-environment-on-linux-ii
LOCATION:Kerckhoff –  Charles E. Young Grand Salon\, 308 Westwood Plaza\, Los Angeles\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20160211T120000
DTEND;TZID=America/Los_Angeles:20160211T130000
DTSTAMP:20260429T151346
CREATED:20160203T185832Z
LAST-MODIFIED:20160203T185832Z
UID:5981-1455192000-1455195600@idre.ucla.edu
SUMMARY:IDRE Seminar: Geometric Graph-based Methods for High Dimensional Data
DESCRIPTION:IDRE Seminar: Geometric Graph-based Methods for High Dimensional Data\n \nSpeaker: Andrea L. Bertozzi\nProfessor\, Department of Mathematics\, UCLA\nBetsy Wood Knapp Chair for Innovation and Creativity \n  \nTime:  12 p.m. to 1 p.m. (Lunch will be served*)\nLocation:  5628 Math Sciences \nRSVP**: http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3498&SecID=3486 \n  \nAbstract:\nWe present new methods for segmentation of large datasets with graph based structure. The method combines ideas from classical nonlinear PDE-based image segmentation with fast and accessible linear algebra methods for computing information about the spectrum of the graph Laplacian. The goal of the algorithms is to solve semi-supervised and unsupervised graph cut optimization problems. I will present results for image processing applications such as image labeling and hyperspectral video segmentation\, and results from machine learning and community detection in social networks\, including modularity optimization posed as a graph total variation minimization problem. \nSpeaker’s Bio:\nAndrea Bertozzi is an applied mathematician with expertise in nonlinear partial differential equations and fluid dynamics. She also works in the areas of geometric methods for image processing\, crime modeling and analysis\, and swarming/cooperative dynamics. Bertozzi completed all her degrees in Mathematics at Princeton. She was an L. E. Dickson Instructor and NSF Postdoctoral Fellow at the University of Chicago from 1991-1995. She was the Maria Geoppert-Mayer Distinguished Scholar at Argonne National Laboratory from 1995-6. She was on the faculty at Duke University from 1995-2004 first as Associate Professor of Mathematics and then as Professor of Mathematics and Physics. She has served as the Director of the Center for Nonlinear and Complex Systems while at Duke. Bertozzi moved to UCLA in 2003 as a Professor of Mathematics. Since 2005 she has served as Director of Applied Mathematics\, overseeing the graduate and undergraduate research training programs at UCLA. In 2012 she was appointed the Betsy Wood Knapp Chair for Innovation and Creativity. Bertozzi’s honors include the Sloan Research Fellowship in 1995\, the Presidential Early Career Award for Scientists and Engineers in 1996\, and SIAM’s Kovalevsky Prize in 2009. She was elected to the American Academy of Arts and Sciences in 2010 and to the Fellows of the Society of Industrial and Applied Mathematics in 2010. She became a Fellow of the American Mathematical Society in 2013. \n*Lunch will be ready at 11:45 AM.\n**To ensure you have a space at the seminar\, please RSVP ONLINE by Feb 8th\, 2016.
URL:https://idre.ucla.edu/calendar-event/idre-seminar-geometric-graph-based-methods-for-high-dimensional-data
CATEGORIES:Conferences and Seminars,Education and Training,Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20160204T130000
DTEND;TZID=America/Los_Angeles:20160204T150000
DTSTAMP:20260429T151346
CREATED:20160114T193759Z
LAST-MODIFIED:20160114T193759Z
UID:5901-1454590800-1454598000@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 Linux systems. The user should be able to log in to a linux system and use it to do normal tasks after going through this session. \nRegistration link: http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3490&SecID=3478
URL:https://idre.ucla.edu/calendar-event/computing-environment-on-linux-i
LOCATION:Kerckhoff –  Charles E. Young Grand Salon\, 308 Westwood Plaza\, Los Angeles\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20160202T140000
DTEND;TZID=America/Los_Angeles:20160202T160000
DTSTAMP:20260429T151346
CREATED:20160113T204011Z
LAST-MODIFIED:20160119T232033Z
UID:5889-1454421600-1454428800@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/PT8LCKC \nTo sign up\, visit: http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3489&SecID=3477
URL:https://idre.ucla.edu/calendar-event/using-hoffman2-cluster-2016-0202
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20160127T100000
DTEND;TZID=America/Los_Angeles:20160127T130000
DTSTAMP:20260429T151346
CREATED:20160120T173948Z
LAST-MODIFIED:20160120T174021Z
UID:5919-1453888800-1453899600@idre.ucla.edu
SUMMARY:OIT/IDRE Open House
DESCRIPTION:OIT/IDRE will be holding a departmental Open House on Wednesday\, January 27th at 10 a.m. The Open House is an opportunity for each OIT unit to present information about their area as well as a way for staff to learn about the exciting work happening within the organization. The Open House will feature stations throughout Math Sciences as well as at Murphy Hall that will showcase the area’s internal functions and work of staff members. The event is designed to educate OIT staff\, promote communication and collaboration\, and build a sense of comradery. For more information about the Open House\, please call (310) 825-6635.
URL:https://idre.ucla.edu/calendar-event/oitidre-open-house
CATEGORIES:Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20151214T060000
DTEND;TZID=America/Los_Angeles:20151215T180000
DTSTAMP:20260429T151346
CREATED:20151023T165337Z
LAST-MODIFIED:20151023T195019Z
UID:5725-1450072800-1450202400@idre.ucla.edu
SUMMARY:Hoffman2 Cluster and Data Center Winter Maintenance\, December 14-15\, 2015
DESCRIPTION:Dear Hoffman2 Users\, \nThe Hoffman2 Cluster will be unavailable from 6:00AM on Monday\, December 14\, 2015 through 6:00PM on Tuesday\, December 15\, 2015 for scheduled upgrades and maintenance. \nDuring this time\, we will be installing a new OS image with the latest Centos 6.6 release\, performing upgrades on storage equipment\, and doing a major upgrade of the Infiniband fabric. \nThe primary focus of the maintenance window will be the upgrade of the Infiniband infrastructure in the POD data center. \nWe will be replacing the existing QDR Infiniband core switch in the POD with a new\, modern FDR core switch. We will also be replacing many of the QDR leaf switches with FDR leaf switches and replacing and upgrading cabling. These upgrades should greatly increase the throughput and reliability of our IB fabric. \nDue to the major changes involved in this upgrade\, we will be closely monitoring the performance of parallel jobs running on the Infiniband fabric following the upgrade. \nYou will not be able to log in\, run jobs or transfer files during the maintenance window. Starting Monday\, December 1st\, we will hourly reduce the maximum run time in order to completely drain the cluster’s running jobs by December 14. If your job requests more than this maximum time\, it will not start. All jobs (queued or running) at the time of this outage will be killed; affected users will have to resubmit their jobs after the outage. Please plan your runs accordingly. \nIf you have any questions regarding this maintenance\, please submit a ticket to our support site at: \nhttps://support.idre.ucla.edu/helpdesk \nThank you\,\nHoffman2 Team\nIDRE Research Technology Group
URL:https://idre.ucla.edu/calendar-event/hoffman2-cluster-and-data-center-winter-maintenance-december-14-15-2015
CATEGORIES:UCLA event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20151112T090000
DTEND;TZID=America/Los_Angeles:20151112T163000
DTSTAMP:20260429T151346
CREATED:20151022T222614Z
LAST-MODIFIED:20151105T191051Z
UID:5721-1447318800-1447345800@idre.ucla.edu
SUMMARY:HPC and Big Data Analytics using Comet - SDSC’s latest Computing Resource through XSEDE
DESCRIPTION:Comet\, a new petascale supercomputer at San Diego Supercomputing Center (SDSC)\, is one of the latest key resources within the NSF’s XSEDE (Extreme Science and Engineering Discovery Environment) program\, which comprises the most advanced collection of integrated digital resources and services in the world. Researchers may apply for “free” computer time on Comet via XSEDE. \nUCLA-IDRE and SDSC are organizing this workshop in order to introduce the Comet system and its usage for HPC and Big Data Analytics to UCLA researchers. The participants will be able to get hands-on experience on Comet system during workshop’s different sessions. \nThe detailed agenda is as follows: \nRSVP@ http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3479&SecID=3467 \nAgenda: \n9:00 AM – 9:10 AM: Introduction & Welcome \n9:10 AM – 10:25 AM: Comet – SDSC’s New HPC Resource \n\nArchitecture\, queue/partition info\, software stack\nExamples for compute\, shared\, gpu\, and gpu-shared partitions\nHands-on on Comet to help prep for next sessions which will use Comet\n\n10:25 AM – 10:35 AM: Short break \n10:35 AM- 12:00 PM:  Introduction to Hadoop on Comet and Gordon \n\nOverview of running Hadoop within scheduler frameworks (using myHadoop)\nDemonstration/Hands on of Hadoop cluster spin up\, interactive usage\nNew technologies/approaches like RDMA-Hadoop and hands on with RDMA-Hadoop\n\n12 PM – 1 PM: Lunch\n \n1:00 PM – 2:00 PM: Data Analytics and Data Mining  \n\nR and parallel execution of R\nData mining/machine learning\n\n2:00 PM- 3:00 PM: Python for Scientific Computing \n\nHow to run Jupyter notebook on Comet\nUse IPython Parallel for distributed computation\nDistributed numpy-like arrays with distarray\n\n3:00 PM-3:10 PM: Short break \n3:05 PM – 4:30 PM: Spark for Scientific Computing \n\nOverview of the capabilities of Spark and how they can be leveraged to solve problems in Scientific Computing\nHands-on introduction to Spark\, from batch and interactive usage on Comet to running a sample map/reduce example in Python\nTwo key libraries in the Spark ecosystem: Spark SQL\, a general purpose query engine that can interface to SQL databases or JSON files and Spark MLlib\, a scalable Machine Learning library
URL:https://idre.ucla.edu/calendar-event/hpc-and-big-data-analytics-using-comet-sdscs-latest-computing-resource-through-xsede
LOCATION:Kerckhoff –  Charles E. Young Grand Salon\, 308 Westwood Plaza\, Los Angeles\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training,Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20151028T113000
DTEND;TZID=America/Los_Angeles:20151028T130000
DTSTAMP:20260429T151346
CREATED:20151019T195746Z
LAST-MODIFIED:20151019T195746Z
UID:5714-1446031800-1446037200@idre.ucla.edu
SUMMARY:Understanding the dynamics of killer electrons in Earth's radiation belts: a synthesis of high-performance computing\, data assimilation\, and physics-based modeling
DESCRIPTION:Speaker:\nDr. Adam C. Kellerman\, Researcher\,\nEarth\, Planetary\, and Space Sciences\nUniversity of California\, Los Angeles \nAbstract:\nThe Van Allen radiation belts are torii-shaped regions of trapped energetic particles\, that in recent years\, have become a principle focus for satellite operators and engineers. During geomagnetic storms\, electrons can be accelerated up to relativistic energies\, where they can penetrate spacecraft shielding and damage electrical systems\, causing permanent damage or loss of spacecraft. In addition\, the high-energy particles can be dangerous for humans in space. Observations from spacecraft in the solar wind and in Earth orbit\, together with physics-based models can provide a means to mitigate the risk by combining the observations and model together to better understand how particles are effected globally\, leading to better space weather prediction. A sophisticated way of obtaining accurate nowcasts is to use data assimilation to combine the observations with a model in an optimal way\, so that one can reconstruct the global structure of the radiation belts at any given time. The Space Environment Modeling Group (SEMG) http://rbm.epss.ucla.edu at UCLA has constructed a data-assimilative version of the state-of-the-art Versatile Electron Radiation Belt (VERB) code\, which can reproduce global particle dynamics in the radiation belts. In this presentation it is demonstrated how a synthesis of high-performance computing and physics research has supported cutting edge research to develop a model\, which has already been used to rediscover the nature of past geomagnetic superstorms. Further\, the group has developed a framework which is used to make real-time forecasts of the Earth’s radiation belts\, which may be used for mitigation of risks to current spacecraft operators and humans in space. \nPlease RSVP @ http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3476&SecID=3465 \n 
URL:https://idre.ucla.edu/calendar-event/understanding-the-dynamics-of-killer-electrons-in-earths-radiation-belts-a-synthesis-of-high-performance-computing-data-assimilation-and-physics-based-modeling
CATEGORIES:Conferences and Seminars,Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20151027T090000
DTEND;TZID=America/Los_Angeles:20151027T120000
DTSTAMP:20260429T151346
CREATED:20150910T190512Z
LAST-MODIFIED:20150910T190512Z
UID:5529-1445936400-1445947200@idre.ucla.edu
SUMMARY:Introduction to R
DESCRIPTION:R is a powerful 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. Non-UCLA researchers are allowed to sign up and attend. \nRSVP here.
URL:https://idre.ucla.edu/calendar-event/introduction-to-r
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:20151026T140000
DTEND;TZID=America/Los_Angeles:20151026T160000
DTSTAMP:20260429T151346
CREATED:20150921T164454Z
LAST-MODIFIED:20151002T172758Z
UID:5523-1445868000-1445875200@idre.ucla.edu
SUMMARY:Python for High Performance Computing - Part 2
DESCRIPTION:New time: 2-4pm\, October 26 \nNew Location: 5628 Math Sciences Building \nPython\, 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 the second part of a 2-part presentation. Knowledge from Part 1 is required in this class. \nSign up here.\n 
URL:https://idre.ucla.edu/calendar-event/python-for-high-performance-computing-part-2
LOCATION:OIT Conference Room 5907\, 5907 Math Sciences Building\, 520 Portola Plaza\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20151022T140000
DTEND;TZID=America/Los_Angeles:20151022T150000
DTSTAMP:20260429T151346
CREATED:20150917T215646Z
LAST-MODIFIED:20151014T220720Z
UID:5548-1445522400-1445526000@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 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 introduce the opportunities available to UCLA researchers in terms of the knowledge base\, allocation process as well as in terms of the optimization of their software. \nRSVP Online: http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3472&SecID=3461
URL:https://idre.ucla.edu/calendar-event/national-leadership-class-computing-resources-and-opportunities-for-ucla-researchers-2
LOCATION:Kerckhoff –  Charles E. Young Grand Salon\, 308 Westwood Plaza\, Los Angeles\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training,Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20151020T140000
DTEND;TZID=America/Los_Angeles:20151020T160000
DTSTAMP:20260429T151346
CREATED:20150917T220549Z
LAST-MODIFIED:20150917T220549Z
UID:5545-1445349600-1445356800@idre.ucla.edu
SUMMARY:Introduction to Cuda
DESCRIPTION:Graphics Processing Units (or GPUs)\, an integral part of most of the computer systems\, are well known for their potential for high performance numeric computations. Although few efforts have been made in the past to use these devices for general computing\, the recent emergence of high level programming languages through CUDA has really made it possible to use GPUs without going through a steep learning curve. \nThe objective of the class is to provide an introduction to CUDA. This session will be of particular interest if you want to develop computational codes (or port existing ones) that may use GPUs as compute engines. \nPrerequisite: Working knowledge of C/C++. \nRSVP online: http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3471&SecID=3460
URL:https://idre.ucla.edu/calendar-event/introduction-to-cuda
LOCATION:Kerckhoff –  Charles E. Young Grand Salon\, 308 Westwood Plaza\, Los Angeles\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20151020T090000
DTEND;TZID=America/Los_Angeles:20151020T120000
DTSTAMP:20260429T151346
CREATED:20150910T190319Z
LAST-MODIFIED:20150910T190319Z
UID:5528-1445331600-1445342400@idre.ucla.edu
SUMMARY:Introduction to SPSS
DESCRIPTION: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. Non-UCLA researchers are allowed to sign up and attend. \nRSVP here.
URL:https://idre.ucla.edu/calendar-event/introduction-to-spss
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:20151019T143000
DTEND;TZID=America/Los_Angeles:20151019T170000
DTSTAMP:20260429T151346
CREATED:20150921T164413Z
LAST-MODIFIED:20151002T172742Z
UID:5521-1445265000-1445274000@idre.ucla.edu
SUMMARY:Python for High Performance Computing - Part 1
DESCRIPTION:New location: 5628 Math Sciences Building\n \nNew time: 2:30pm-5pm\, October 19 \nPython\, 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. \nSign up here.\n 
URL:https://idre.ucla.edu/calendar-event/python-for-high-performance-computing-part-1
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20151015T140000
DTEND;TZID=America/Los_Angeles:20151015T160000
DTSTAMP:20260429T151346
CREATED:20150921T164313Z
LAST-MODIFIED:20150921T165311Z
UID:5520-1444917600-1444924800@idre.ucla.edu
SUMMARY:Scientific Computing using PETSc
DESCRIPTION:The PETSc library contains a number of reusable data structures and solvers for linear and nonlinear systems of equations that can greatly simplify the programming work of scientific computing. While it is possible to code everything “from scratch” using MPI and C/C++/Fortran\, some may find code written reusing PETSc’s data structures are easier to maintain and extend in the long term. This class will first discuss a number of common scenarios in scientific computing (such as solving a partial differential equation)\, expose their common data structures\, and explain how to implement them using PETSc. We will also discuss how to interface PETSc to other computational libraries. \nSign up here.\n 
URL:https://idre.ucla.edu/calendar-event/scientific-computing-using-petsc-2
LOCATION:OIT Conference Room 5907\, 5907 Math Sciences Building\, 520 Portola Plaza\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20151013T090000
DTEND;TZID=America/Los_Angeles:20151013T120000
DTSTAMP:20260429T151346
CREATED:20150910T190106Z
LAST-MODIFIED:20150910T190106Z
UID:5527-1444726800-1444737600@idre.ucla.edu
SUMMARY:Introduction to Stata
DESCRIPTION: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. Non-UCLA researchers are allowed to sign up and attend. \nRSVP here.
URL:https://idre.ucla.edu/calendar-event/introduction-to-stata
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:20151008T140000
DTEND;TZID=America/Los_Angeles:20151008T160000
DTSTAMP:20260429T151346
CREATED:20150921T164251Z
LAST-MODIFIED:20150921T164251Z
UID:5519-1444312800-1444320000@idre.ucla.edu
SUMMARY:Parallel Computing using MPI
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 important ones commonly used in practice. This class is useful for those who plan to start writing MPI code\, and also for those who would like to know how MPI works in order to operate an existing MPI code. \nSign up here.\n 
URL:https://idre.ucla.edu/calendar-event/parallel-computing-using-mpi
LOCATION:Kerckhoff –  Charles E. Young Grand Salon\, 308 Westwood Plaza\, Los Angeles\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20151006T140000
DTEND;TZID=America/Los_Angeles:20151006T160000
DTSTAMP:20260429T151346
CREATED:20150917T220406Z
LAST-MODIFIED:20150917T220406Z
UID:5547-1444140000-1444147200@idre.ucla.edu
SUMMARY:Profiling – Code clinic session
DESCRIPTION:The purpose of this session is to describe few basic profiling techniques and help researchers in gaining more insight into how well their application code runs on Hoffman2 or other computer systems. \nIn particular the focus is on:\nProfiling techniques that are available on Hoffman2.\nHands-on exercises using an example code – bring your own software. \nPrerequisite: User account on hoffman2 (apply here if you don’t have one) and your software on Hoffman2. \nLaptop requirements:  Bring your own laptop to access the Hoffman2 cluster remotely. \nRSVP Online: http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3470&SecID=3459 \n 
URL:https://idre.ucla.edu/calendar-event/profiling-code-clinic-session-3
LOCATION:OIT Conference Room 5907\, 5907 Math Sciences Building\, 520 Portola Plaza\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
END:VCALENDAR