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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20171031T140000
DTEND;TZID=America/Los_Angeles:20171031T160000
DTSTAMP:20260803T220726
CREATED:20170915T211446Z
LAST-MODIFIED:20171011T220056Z
UID:8893-1509458400-1509465600@idre.ucla.edu
SUMMARY:Computing Environment on Linux – II
DESCRIPTION:  \nThe second session is regarding the use of Linux system for computation. It will describe the compilation and execution procedures for a given source program. A sample software code will be used to demonstrate the computing tools such as makefile\, debugger\, and profiler which are available under most Linux environments.
URL:https://idre.ucla.edu/calendar-event/computing-environment-linux-ii-oct2017
CATEGORIES:Classes and Workshops,Education and Training
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170626T080000
DTEND;TZID=America/Los_Angeles:20170630T150000
DTSTAMP:20260803T220726
CREATED:20170419T215817Z
LAST-MODIFIED:20170419T220812Z
UID:8231-1498464000-1498834800@idre.ucla.edu
SUMMARY:Scaling to Petascale Institute
DESCRIPTION:UCLA Institute for Digital Research and Education is happy to be a collaborating host site for the “Scaling to Petascale Institute” to be held during June 26-30\, 2017. \nRegistrations are now open at https://bluewaters.ncsa.illinois.edu/petascale-summer-institute/registration \nScaling to Petascale Institute: \n\nDo you have a computational problem that would benefit from using a large scale computing system?\nDo you need to scale your simulation or data analysis to a Petascale system?\n\nThis institute is for people developing\, modifying and supporting research projects who seek to enhance their knowledge and skills to scale software to Petascale and emerging extreme scale computing systems. Participants should have familiarity with Linux\, programming in Fortran\, C\, C++\, Python or similar language\, and familiarity with MPI (message passing interface). There will be hands-on activities for many of the sessions. \nPresentations will be made by faculty and professionals from Argonne Leadership Computing Facility (ALCF)\, the Blue Waters project at the National Center for Supercomputing Applications (NCSA)\, National Energy Research Scientific Computing Center (NERSC)\, Oak Ridge Leadership Computing Facility (OLCF)\, Stony Brook University\, and the Texas Advanced Computing Center (TACC). \nAttend the Institute in person at UCLA-IDRE.  Participants will be able to verbally ask questions of the presenters through two-way video conferencing facilities. Participants will receive training accounts on the Blue Waters\, NERSC and TACC systems. Staff will be available at each site to assist during hands-on sessions. Seating at each site is limited\, and registration is handled on a first-come first-served basis. \nThe agenda will address the following topics: \n\nMPI – Introduction and Advanced topics\nOpenMP\nScaling\, code profiling\, and debugging\nGPU programming\nOpenACC\nPhi programming\nSoftware libraries\nParallel I/O\nHDF5\nGlobus\nSoftware engineering\n\nThe institute is led by Argonne Leadership Computing Facility (ALCF)\, the Blue Waters project at the National Center for Supercomputing Applications (NCSA)\, the National Energy Research Scientific Computing Center (NERSC)\, the Oak Ridge Leadership Computing Facility (OLCF)\, and the Texas Advanced Computing Center (TACC). \nThe detail information for the institute is at “https://bluewaters.ncsa.illinois.edu/petascale-summer-institute”.
URL:https://idre.ucla.edu/calendar-event/scaling-petascale-institute
CATEGORIES:Classes and Workshops,Education and Training
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170404T090000
DTEND;TZID=America/Los_Angeles:20170404T163000
DTSTAMP:20260803T220726
CREATED:20170315T190127Z
LAST-MODIFIED:20170404T231412Z
UID:7878-1491296400-1491323400@idre.ucla.edu
SUMMARY:HPC and Big Data Analytics using Comet
DESCRIPTION:UCLA-IDRE and SDSC are organizing the workshop “HPC and Big Data Analytics using Comet” in order to introduce the Comet supercomputer and its usage to the researchers at UCLA. \nComet\, a petascale supercomputer at San Diego Supercomputing Center (SDSC)\, is one of the key resources within the NSF’s XSEDE (Extreme Science and Engineering Discovery Environment) program. It provides “free” computer time via XSEDE portal to the researchers across USA. The participants will be able to get hands-on experience on Comet during the workshop’s different sessions. \nThe RSVP link and the agenda for the workshop are as follows: \nRSVP: https://idre.ucla.edu/calendar-event/hpc-big-data-analytics-using-comet#rsvp \nAgenda:  \n(Link to slides: https://github.com/sdsc-scicomp/2017-04-04-comet-workshop-ucla) \n9:00 AM – 9:10 AM: Introduction & Welcome \n9:10 AM – 10:00 AM: Comet – SDSC’s 2 PetaFLOPS 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\n10:00 AM – 10:30 AM: Science Gateways \n10:30 AM – 10:40 AM: Short break \n10:40 AM- 12:00 PM:  Introduction to Hadoop on Comet \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 (provided by IDRE)\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\nEasy multithreading and distributed computing with dask\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\n\n4:30 PM: Wrap up
URL:https://idre.ucla.edu/calendar-event/hpc-big-data-analytics-using-comet
CATEGORIES:Classes and Workshops,Education and Training,Presentations
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170217T100000
DTEND;TZID=America/Los_Angeles:20170217T120000
DTSTAMP:20260803T220726
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:20170210T100000
DTEND;TZID=America/Los_Angeles:20170210T120000
DTSTAMP:20260803T220726
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:20260803T220726
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:20161109T114500
DTEND;TZID=America/Los_Angeles:20161109T130000
DTSTAMP:20260803T220726
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:20160809T080000
DTEND;TZID=America/Los_Angeles:20160810T150000
DTSTAMP:20260803T220726
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:20160523T120000
DTEND;TZID=America/Los_Angeles:20160523T130000
DTSTAMP:20260803T220726
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:20160301T010000
DTEND;TZID=America/Los_Angeles:20160301T140000
DTSTAMP:20260803T220726
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:20260803T220726
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:20260803T220726
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:20260803T220726
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:20260803T220726
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:20260803T220726
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:20260803T220726
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:20151112T090000
DTEND;TZID=America/Los_Angeles:20151112T163000
DTSTAMP:20260803T220726
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:20151026T140000
DTEND;TZID=America/Los_Angeles:20151026T160000
DTSTAMP:20260803T220726
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:20260803T220726
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:20260803T220726
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:20151019T143000
DTEND;TZID=America/Los_Angeles:20151019T170000
DTSTAMP:20260803T220726
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:20260803T220726
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:20151008T140000
DTEND;TZID=America/Los_Angeles:20151008T160000
DTSTAMP:20260803T220726
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:20260803T220726
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
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20151005T140000
DTEND;TZID=America/Los_Angeles:20151005T160000
DTSTAMP:20260803T220726
CREATED:20150919T003027Z
LAST-MODIFIED:20150919T013811Z
UID:5518-1444053600-1444060800@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. \nThe registrants are recommended to do a quick survey in the following link *BEFORE* the class: \nhttps://www.surveymonkey.com/r/JNKVBFN \n  \nSign up here.\n 
URL:https://idre.ucla.edu/calendar-event/using-hoffman2-cluster-2
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:20151001T140000
DTEND;TZID=America/Los_Angeles:20151001T160000
DTSTAMP:20260803T220726
CREATED:20150917T220716Z
LAST-MODIFIED:20150917T220716Z
UID:5546-1443708000-1443715200@idre.ucla.edu
SUMMARY:Computing Environment on Linux
DESCRIPTION:This two-hour session is aimed to help researchers who are new to Linux. The session will introduce basic Unix/Linux commands\, shells\, as well as a few editors available on most of the Linux systems. It will also describe the compilation and execution procedures for a given source program. A sample software code will be used to demonstrate computing tools such as makefile\, debugger\, and profiler which are available under most Linux environments. The session’s material is of very generic nature and is applicable to any flavor of Linux. \nUse the following URL to sign up. \nRSVP online: http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3469&SecID=3458
URL:https://idre.ucla.edu/calendar-event/computing-environment-on-linux-2
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:20150824T080000
DTEND;TZID=America/Los_Angeles:20150825T140000
DTSTAMP:20260803T220726
CREATED:20150511T190831Z
LAST-MODIFIED:20150624T203657Z
UID:5236-1440403200-1440511200@idre.ucla.edu
SUMMARY:Science Visualization
DESCRIPTION:This two-day training course will introduce students to data visualization with a primary focus on visualization of large volumetric data resulting from simulation and instrumentation.  We begin with an overview of visualization as a whole\, beginning with a simple taxonomy: illustration\, which uses techniques of computer graphics and animation to convey concepts\, and data-driven visualization which  interpret data as imagery to convey the content of the data   Data-driven visualization is further divided into two broad areas.  Information visualization is concerned with visualizing discrete data such as is often found in Excel spreadsheets and relational databases – think a sales database\, including a record for many customer transactions including date\, product list and so forth.   Scientific data  is concerned with continuous data defined over a domain – think weather data\, representing variables like temperature and pressure in a three-dimensional region of the atmosphere.   This section will include copious examples of each class of visualization. \nThe next section provides a brief  introduction to scientific illustration\, in which a specialist will provide a hands on demonstration of an interactive tool for modeling\, animating and rendering  visualizations.   Either Blender or Maya will be demonstrated.   This section is intended to give students a broad overview of the capabilities of these systems and to enable them to identify situations in which these are the appropriate tools. \nFollowing will be an introduction to information visualization.   We begin with an brief history of info viz\, then discuss data and techniques and an overview of the software tools available.  Following this will be a  demonstration of a commercial end-user application (Tableau). \nWe then segue to scientific visualization\, the focus of the course.   In an introductory section we will present an overview of scientific data.  We begin  with a conceptual approach to scientific data as functions over a time/space domain\, then discuss how this data is represented as time/space grids with variables associated with grid points and cells.  We discuss how visualization systems transform such data to imagery.   We then present hands-on demonstrations of open-source general-purpose tools for scientific visualization – ParaView and VisIt.   Following demonstrations of the interactive interface to each of these\, we will discuss techniques in which scripting can be used to generate visualizations off-line.   We will then discuss issues that arise when  datasets become very large\, discussing parallel execution of the tools\, and data layout for optimal I/O.  This will include a presentation of the facilities we maintain at the Texas Advanced Computing Center for high-performance visualization of very large datasets and how we provide these services to remote users. \nRegistration Fee: Free for UCLA affiliates (student\, faculty\, or staff)\, $100 per participant otherwise. \nRegister for this session at XSEDE portal
URL:https://idre.ucla.edu/calendar-event/science-visualization
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:20150817T080000
DTEND;TZID=America/Los_Angeles:20150821T140000
DTSTAMP:20260803T220726
CREATED:20150511T191628Z
LAST-MODIFIED:20150624T203632Z
UID:5238-1439798400-1440165600@idre.ucla.edu
SUMMARY:Supercomputing for Everyone Series: Performance Tuning Summer School
DESCRIPTION:From a user perspective\, supercomputers are more complicated to program and handle than an ordinary desktop workstation. Unfortunately this leads to parallel programs that do not necessarily satisfy the performance expectations of the users. Such unexpected performance results can have many reasons. Basic knowledge on performance modeling\, prediction and verification\, as taught in this summer school\, is needed by users to formulate and verify their performance expectation. \nThe goals for this class are:\n– Motivating the need for performance considerations\n– Establishing a common performance vocabulary\n– Learning the standard situations/parameters to have an eye on\n– Getting to know the tools that provide insight\n– Establishing a higher throughput of experiments\n– Running bigger experiments \nA rough table of content for the class looks as follows: \nDay 1: Performance Engineering (theory + examples)\nDay 2: Easy to use workflows (the first step\, with very low burden\, mostly automated) at IU\nDay 3: Usage of advanced tools (profile- and trace-based) at IU\nDay 4: Tuning of hybrid programs (message passing\, threading\, accelerators)\nDay 5: Theoretical considerations (Experimental design\, performance modeling) \nThe class contains lectures and labs so that the participants immediately put the newly acquired knowledge to work. \nPrerequisites: Basic programming and command line skills on Linux systems \n\nRegistration Fee: Free for UCLA affiliates (student\, faculty\, or staff)\, $100 per participant otherwise. \n\n\n\n\n\nRegister for this session at XSEDE portal
URL:https://idre.ucla.edu/calendar-event/supercomputing-for-everyone-series-performance-tuning-summer-school
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20150507T100000
DTEND;TZID=America/Los_Angeles:20150507T120000
DTSTAMP:20260803T220726
CREATED:20150421T185921Z
LAST-MODIFIED:20150423T234908Z
UID:5188-1430992800-1431000000@idre.ucla.edu
SUMMARY:Profiling – Code Clinic Session
DESCRIPTION:Optimization and parallel scalability of software are essential for High performance computing. The Department of Energy\, National Science Foundation\, and the National Aeronautical Space Agency support an ecosystem of “leadership class” computing facilities that include several of the world’s most advanced supercomputers as well as high-end visualization and data analysis resources.  Access to these resources is freely available to those who can demonstrate that their research topic requires these resources and that their software can utilize these resources. \nThe IDRE Pipeline program aims to transition UCLA researchers from local resources such as Hoffman2 and take advantage of the free\, magnificent “leadership class” computing facilities. A first step in optimizing and improving the parallel scalability of software so it can run effectively on leadership class facilities is  profiling the software whereby one identifies how much computing time is spent within various subroutines\, how well the code runs on one computing core\, and how well it scales on many computing cores. \nThe purpose of this session is to describe few basic profiling techniques and help researchers at UCLA in gaining more insight into how well their application code runs on Hoffman2 or even larger systems. \nIn particular we focus on:\nLearning profiling techniques that are available on Hoffman2.\nProviding hands on examples – bring your own software. \nPrerequisite: 1) User account on hoffman2 – apply here if you are not a Hoffman account user already. 2) Your own laptop to access the Hoffman2 cluster. 3) Your software on Hoffman2. \nSpace is limited.  Please RSVP ONLINE to attend this seminar.
URL:https://idre.ucla.edu/calendar-event/profiling-code-clinic-session-2
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:20150506T140000
DTEND;TZID=America/Los_Angeles:20150506T160000
DTSTAMP:20260803T220726
CREATED:20150421T185118Z
LAST-MODIFIED:20150424T000523Z
UID:5187-1430920800-1430928000@idre.ucla.edu
SUMMARY:Computing Environment on Linux
DESCRIPTION:This two-hour session is aimed to help researchers who are new to Linux. The session will introduce basic Unix/Linux commands\, shells\, as well as a few basic editors available on most of the Linux systems. It will also describe the compilation and execution procedures for a given program. A sample software code will be used to describe the computing tools such as makefile\, debugger\, and profiler that are available under most Linux environments. The session’s material is of very generic nature and will benefit anybody who is new with Linux or plan to use it in the future. Use the following URL to sign up. Seats are limited. We hope to see you there. \n  \nRSVP Online: http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3440&SecID=3429
URL:https://idre.ucla.edu/calendar-event/computing-environment-on-linux
LOCATION:Kerckhoff –  Charles E. Young Grand Salon\, 308 Westwood Plaza\, Los Angeles\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
END:VCALENDAR