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. In particular the focus is on: Profiling techniques that are available on Hoffman2. Hands-on exercises using an example code - bring your own...
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...
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...
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...
New location: 5628 Math Sciences Building New time: 2:30pm-5pm, October 19 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...
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...
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...
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...
New time: 2-4pm, October 26 New Location: 5628 Math Sciences Building 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...
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. RSVP here.
Speaker: Dr. Adam C. Kellerman, Researcher, Earth, Planetary, and Space Sciences University of California, Los Angeles Abstract: The 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...
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....
Dear Hoffman2 Users, The 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. During 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...
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...
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: 1. How to access and login to the Hoffman2 Cluster, primarily...
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...
IDRE Seminar: Geometric Graph-based Methods for High Dimensional Data Speaker: Andrea L. Bertozzi Professor, Department of Mathematics, UCLA Betsy Wood Knapp Chair for Innovation and Creativity Time: 12 p.m. to 1 p.m. (Lunch will be served*) Location: 5628 Math Sciences RSVP**: http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3498&SecID=3486 Abstract: We present new methods for segmentation of large datasets...
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. Registration...
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. In particular the focus is on: Profiling techniques that are available on Hoffman2. Hands-on exercises using an example code – bring your own software. Prerequisite: User account on hoffman2 and your software on Hoffman2. Laptop requirements: Bring your own laptop to…
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...
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...
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...
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...
IDRE Seminar: Electoral Incentives and the Allocation of Public Funds Speaker: Maurizio Mazzocco, Associate Professor, Department of Economics, UCLA Date and time: March 28th, 2016 at 12 PM (Lunch will be served*) Location: 5628 Math Sciences Building RSVP: http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3502&SecID=3490 Abstract: It is widely believed that politicians allocate public resources in ways to maximize...
The Spring 2016 Mapping for Research Series Get.Into.Spring with G.I.S and your research Spring is in the air and there is no better time to think about how mapping could impact your work. Join us this April and dive into the world of mapping. Explore the latest digital mapping technologies and make your research project...
The Spring 2016 Mapping for Research Series Get.Into.Spring with G.I.S and your research Spring is in the air and there is no better time to think about how mapping could impact your work. Join us this April and dive into the world of mapping. Explore the latest digital mapping technologies and make your research project...
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...
The Spring 2016 Mapping for Research Series Get.Into.Spring with G.I.S and your research Spring is in the air and there is no better time to think about how mapping could impact your work. Join us this April and dive into the world of mapping. Explore the latest digital mapping technologies and make your research project...
IDRE Seminar - Computation and Storage, Data Informatics Computational challenges and solutions in an analysis of large-scale whole genome sequencing data Speakers: Eleazar Eskin1, Giovanni Goppola2, and Jae Hoon Sul2 1Professor, Computer Science - Human Genetics 2Professor, Psychiatry & Biobehavioral Sciences University of California, Los Angeles Date and Time: May 5th, 2016 at 12:00 PM(Lunch...
IDRE Seminar- GPU/Many cores program Computing Fluid Flows on Multi-GPU Cluster using Lattice Boltzmann Method Chao-An Lin Department of Power Mechanical Engineering, National Tsing Hua University, Hsinchu 30013 Taiwan Date and Time: May 23, 2016 at 12:00 PM (Lunch will be served*) Location: 5628 Math Sciences Bldg. RSVP**: http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3531&SecID=3518 Abstract: Due to its enhanced computational...
IDRE Early Career Researchers Lunch and Meeting Date and Time: May 31, 2016 at 11:30 AM (Lunch will be served*) Location: Visualization Portal, 5628 Math Sciences Bldg. RSVP**: Link This IDRE Early Career Researchers Lunch and Meeting is the first in a series of informal get-togethers for young researchers in the computational sciences. Realizing that dedicated and...
Come and join us in the Portal for a Code for the Mission - Coffee and Cookie break “Meetup”! Want to build an app over the summer and win $5000 in September? Want to team up with Faculty Who have exciting app concepts? Have a neat idea for an App that will fit this year’s...
Funded by the National Endowment for the Humanities, this two-day symposium on Advanced Challenges in Theory and Practice in 3D Modeling of Cultural Heritage Sites will be held on Monday, June 20, and Tuesday, June 21. This event is the culmination of an Advanced Topics in the Digital Humanities Summer Institute co-hosted by University of...
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. Free Workflows Workshop: Registration 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...
This course is for users who want to learn how to write SAS programs. It is the entry point to learning SAS programming and is a prerequisite to many other SAS courses. Learn how to, navigate the SAS Studio programming environment, navigate the SAS Enterprise Guide programming, environment, navigate the SAS windowing environment, read various...
This course teaches you how to process SAS data using Structured Query Language (SQL). This course can help prepare you for the following certification exam(s): SAS Advanced Programming Exam for SAS 9. Learn how to query and subset data, summarize and present data, combine tables, including complex joins and merges, create and modify table views...
Introduction to Stata, October 3: Stata is a powerful and yet easy-to-use statistical package that runs on Windows, Macintosh and Unix platforms. This class is designed for people who are just getting started using Stata. The students in the class will have a hands-on experience using Stata for statistics, graphics and data management. The class...
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: How to access and login to the Hoffman2 Cluster, primarily in...
Introduction to SAS, October 10: SAS is a powerful statistical package that runs on many platforms, including Windows and Unix. This class is designed for people who are just getting started using SAS. The students in the class will have a hands-on experience using SAS for statistics, graphics, and data management. The SAS class notes...
We will discuss how to effectively run jobs on Hoffman2 cluster. Hoffman2 cluster serves a wide spectrum of user applications and is almost always heavily loaded. Different kinds of jobs impose conflicting conditions in terms of job scheduling, given available computing resources. We will first review the components of Hoffman2 cluster, the shared cluster model,...
MPI (message passing interface) is the de facto standard for distributed-memory parallel scientific computing. While the entire MPI API is quite extensive, this class will cover a number of key ingredients commonly used in practice. This class is useful for those who plan to start writing MPI code, and for those who would like to...
Introduction to SPSS, October 17: SPSS is a very easy-to-use statistical package that runs on Windows, Macintosh and UNIX platforms. This class is designed for people who are just starting to use SPSS. The students in the class will have a hands-on experience using SPSS for doing statistics, graphics, and data management. The class notes...
Part-I session of Computing Environment on Linux class is aimed to help researchers who are new to Linux system. This two hour session will introduce basic Unix/Linux commands, shells, as well as a few editors available on most of the flavors of Linux operating system. The user should be able to log in to a...
A SAS representative would like to introduce professors (and UCLA researchers in general) about free SAS resources that can be used for teaching. The event will involve a short presentation by the SAS representative, but will mostly be a Q&A session.
The second session of the Computing Environment on Linux is about the use of the Linux system for computation. It will describe the compilation and execution procedures for a given source program. A sample software code will be used to demonstrate the computing tools, such as makefile, debugger, and profiler, available on most flavors of...
Introduction to R, October 24: R is a powerful statistical package that runs on many platforms, including Windows, Macintosh and Unix. This class is designed for people who are just getting started using R. The students in the class will have a hands-on experience using R for statistics, graphics, and data management. The R class...
Introduction to R, November 8: R is a powerful statistical package that runs on many platforms, including Windows, Macintosh and Unix. This class is designed for people who are just getting started using R. The students in the class will have a hands-on experience using R for statistics, graphics, and data management. The R class...
Speaker: Hsinchun Chen, Ph.D.; Arizona Regents’ Professor, Thomas R. Brown Chair Professor in Management and Technology, University of Arizona; Director, Artificial Intelligence Lab; Fellow, ACM, IEEE, AAAS Time: 12 p.m. to 1 p.m. (Lunch will be served*) Location: Kerckhoff Hall - Charles E. Young Grand Salon Registration: https://idre.ucla.edu/calendar-event/hacker-web-project#rsvp Abstract: In this talk I...
This talk will introduce the concepts and jargon of structural equation modeling (SEM). We will demonstrate how to fit SEMs for continuous outcomes using the -sem- command in Stata. We will also demonstrate how use Stata's -gsem- command to fit multilevel structural equation models that include continuous, binary, multinomial, ordinal and count outcomes using a...
If you currently use Hoffman2 or are interested in doing so, this is a great opportunity to get information on UCLA’s shared high-performance computing environment and provide feedback to the IDRE Research Technology Group on the future direction of the service. The meeting will include a quick overview of the Hoffman2 cluster, HPC storage, and...