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 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...
This 2-hour session is an introduction on how to use the Hoffman2 Cluster. Topics include: Overview of computational resources accessible to UCLA campus community How to access and log into the Hoffman2 Cluster How to complete various computational tasks on the Hoffman2 Cluster How to efficiently submit and run jobs on the Hoffman2 Cluster Sign...
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...
This is a hands-on workshop designed to introduce the basics of SAS programming. Focus will be on writing data steps to prepare data for analysis. Note: Non-UCLA researchers may attend this workshop if space is available for all interested UCLA researchers. There is no online component to this workshop, and this workshop will not be...
This seminar introduces methods of analyzing interactions (moderated effects) in regression models: calculating, comparing and graphing simple effects and slopes. Specifically, we emphasize the use of proc plm and the lsmeans and estimates statements in SAS in conjunction with a solid understanding of the regression equation. Examples include two- and three-way interactions in linear regression...
In this presentation, we will discuss the analysis of survey data in SAS. We will cover descriptive statistics with continuous and categorical variables, as well as OLS and logistic regression. Non-UCLA researchers may attend this workshop if space is available for all interested UCLA researchers. There is no online component to this workshop, and this...
Have you ever wondered if your research could be mapped? If so, please join us this April and dive into the world of digital mapping to see how to utilize the latest in digital mapping technologies to make your research project come to life. The workshops will cover the basics of conducting spatial analysis through:...
UCLA-IDRE and NVIDIA are very happy to announce a free 2-day hands-on GPU Programming Workshop. Please note that the dates for the workshop are April 15 and April 16: Description: NVIDIA GPUs are the world’s fastest and most efficient accelerators delivering world record scientific application performance. NVIDIA’s CUDA Technology is the most pervasive parallel computing...
Overview: Students are arriving on campus with mobile devices that let them interact with their community, collect new data, and track activities for analysis. In this IDRE workshop, we will highlight the four categories of BYOD mobile data collection and how OIT’s ohmage X (the X is for “Cross Platform”) toolset and web-based Data Visualization...
Have you ever wondered if your research could be mapped? If so, please join us this April and dive into the world of digital mapping to see how to utilize the latest in digital mapping technologies to make your research project come to life. The workshops will cover the basics of conducting spatial analysis through: Desktop...
UCLA-IDRE has an impressive Hoffman2 computing infrastructure. It has grown from an initial 256 cores to the current 12,000+ cores in a short span of time. It serves a large number of research scientists and enables them to achieve new heights within their computing research. However, there are limitations. It may fall short of ever...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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....
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...
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…
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...
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 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...
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...
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...
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. Comet, 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)...
Speaker: Kristine Tanton, Ph.D., IDRE Scholar, Department of Art History, University of California, Los Angeles Time: 11:45 A.M. – 1 P.M. (Lunch will be served*) Date: May 10, 2017 Location: 5628, Math Sciences Building RSVP: https://idre.ucla.edu/calendar-event/resurrecting-historical-monuments#rsvp Abstract: How do art and architectural historians study monuments that have been lost to time?...
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. Registrations are now open at https://bluewaters.ncsa.illinois.edu/petascale-summer-institute/registration Scaling to Petascale Institute: Do you have a computational problem that would benefit from using a large scale computing system? Do...
The Institute for Digital Research and Education is pleased to announce a panel discussion on current and future requirements for Advanced Research Cyberinfrastructure (ARC). The discussion will be led by the following early career researchers from various disciplines across the UCLA campus. Bao Wang – Mathematics Alan Farahani – Cotsen Institute of Archaeology Karthik Sarma...
The 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.
UCLA-IDRE along with XSEDE and Pittsburgh Supercomputing Center is pleased to announce a two day Big Data workshop (December 5-6, 2017, 8 AM-2 PM PDT each day). This workshop will focus on topics such as Hadoop and Spark and will be presented using the Wide Area Classroom (WAC) training platform. For registration and detailed information,...
IDRE will be presenting a container orchestration Demo for Docker containers. First part of the presentation will be Docker installation, container creation, moving container from one host to another. Second part will utilize Kubernetes to do orchestration.
IDRE will be presenting a container orchestration Demo for Docker containers. First part of the presentation will be Docker installation, container creation, moving container from one host to another. Second part will utilize Kubernetes to do orchestration.
In collaboration with UCLA-ECE, IDRE invites you to the workshop "High-Performance programming: back to hardware" with the following details: Outline: Architecture of modern CPUs - brief overview How to efficiently use CPU computing resources Memory and cache architecture How to use the memory system efficiently Using multiple CPUs efficiently through concurrency Memory model, locking, memory...
In collaboration with SDSC, IDRE is happy to announce the workshop “HPC and Big Data Analytics using Comet” as per the following details: Venue: 5628 Math Sciences Bldg. RSVP: link to the registration form (*lunch will be provided) Requirements: Participants need to bring their own laptops for hands-on exercises. Agenda: 9:00 AM - 9:10 AM: Welcome...
UCLA-IDRE along with XSEDE and Pittsburgh Supercomputing Center is pleased to announce the following four day Summer Boot Camp on High Performance Computing: Event: XSEDE HPC Workshop - Summer Boot Camp When: June 4-7, 2018, 8 AM-2 PM PDT each day Where: 5628 Math Sciences Building, UCLA For details and registration: https://www.psc.edu/hpc-workshop-series/summer-bootcamp-2018 This 4-day event will include MPI, OpenMP,...
This is a recurring weekly event from Tuesday, Sept. 4th - Tuesday, Oct. 2nd (5 courses total). Please attend all weeks if your time permits. No RSVP is necessary. For the past several weeks we have presented data frames in Python, R and Julia. Now that we are all familiar with Python Pandas data frame, we will start applying our...
A comprehensive 3-day Stats Camp seminar on Multilevel SEM with xxM. This seminar teaches skills necessary to conduct analysis of complex multilevel data-structures from an nLevel Structural Equation Modeling perspective. Conventional multilevel modeling and multilevel-structural equation modeling work well with ‘standard’ multilevel data. The n-Level structural equation modeling (NL-SEM) framework is intended for both conventional and...
A comprehensive 3-day Stats Camp seminar on Longitudinal SEM. This camp is an intensive seminar consisting of lectures, discussions and one-on-one consultations to provide participants with advanced training in SEM for the analysis of longitudinal data. Topics include: Design and measurement issues in cross-sectional and longitudinal research Traditional panel designs Overview of missing data Latent...
This is a recurring weekly event from Tuesday, Sept. 4th - Tuesday, Oct. 2nd (5 courses total). Please attend all weeks if your time permits. No RSVP is necessary. For the past several weeks we have presented data frames in Python, R and Julia. Now that we are all familiar with Python Pandas data frame, we will start applying our...
This is a recurring weekly event from Tuesday, Sept. 4th - Tuesday, Oct. 2nd (5 courses total). Please attend all weeks if your time permits. No RSVP is necessary. For the past several weeks we have presented data frames in Python, R and Julia. Now that we are all familiar with Python Pandas data frame, we will start applying our...