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November 2018

Informal Discussions on Machine Learning

November 6, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States

This is a recurring weekly event from Tuesday, Oct. 9th – Tuesday, Dec. 18th. Please attend all weeks if your time permits. No RSVP is necessary. This will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations, we will go through logistic regression, binary classification, multi-class classification, neural networks, hidden Layers, forward propagation, backward propagation, L1 and L2 regularization, sigmoid functions, confusion matrix,  one-hot-encoding, softmax etc. Learning and discussion materials used in this discussion series.…

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XSEDE HPC Workshop: GPU Programming Using OpenACC

November 6, 2018 @ 8:00 am - 2:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
+ Google Map

UCLA-IDRE along with XSEDE and Pittsburgh Supercomputing Center is pleased to announce an OpenACC GPU Programming workshop on November 6, 2018, 8 AM-2 PM PDT. OpenACC is the accepted standard using compiler directives to allow quick development of GPU capable codes using standard languages and compilers. It has been used with great success to accelerate real applications within very short development periods. This workshop assumes knowledge of either C or Fortran programming. It will have a hands-on component using the…

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October 2018

Informal Discussions on Machine Learning

October 30, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
+ Google Map

This is a recurring weekly event from Tuesday, Oct. 9th – Tuesday, Dec. 18th . Please attend all weeks if your time permits. No RSVP is necessary. This will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations, we will go through logistic regression, binary classification, multi-class classification, neural networks, hidden Layers, forward propagation, backward propagation, L1 and L2 regularization, sigmoid functions, confusion matrix,  one-hot-encoding, softmax etc. If you have any questions or comments regarding this…

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Introduction to SPSS

October 30, 2018 @ 9:00 am - 12:00 pm
CLICC Classroom C, 320 Powell Library, 10740 Dickson Court
Los Angeles, CA 90095 United States
+ Google Map
Free

RSVP FOR EVENT SPSS is a very easy-to-use statistical package that runs on Windows, Macintosh and UNIX platforms. This class is designed for people who are just starting to use SPSS. The students in the class will have a hands-on experience using SPSS for doing statistics, graphics, and data management. The class notes are the scripts for the class. The SPSS class notes do not contain any of the computer output. The class notes are not meant to be an…

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Version Control with Git

October 26, 2018 @ 10:00 am - 12:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Free

RSVP FOR EVENT Git is a software tool that helps users manage changes to their software over time. Git will allow you to maintain a complete change history of every file, create branches for concurrent streams of changes, trace changes with annotations, and collaborate and share work with others. This interactive introduction will demonstrate how to use Git to track changes, to explore history, and to use web-based Git repositories to share work with others and collaborate.

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Introduction to Jupyter

October 25, 2018 @ 10:00 am - 12:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Free

RSVP FOR EVENT The Jupyter Notebook is a computing tool that allows users to edit and run Python, R, Julia (and many other programming languages) inside a web browser. Furthermore, it is a powerful tool that allows users to combine live code, text, and visualizations in an interactive, shareable, reproducible document. It has been growing in popularity in many scientific and research disciplines as a data exploration and analysis tool that encourages collaboration and reproducible science. This class will provide…

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Informal Discussions on Machine Learning

October 23, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
+ Google Map

This is a recurring weekly event from Tuesday, Oct. 9th – Tuesday, Oct. 30th  (4 courses total). Please attend all weeks if your time permits. No RSVP is necessary. This will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations, we will go through logistic regression, binary classification, multi-class classification, neural networks, hidden Layers, forward propagation, backward propagation, L1 and L2 regularization, sigmoid functions, confusion matrix,  one-hot-encoding, softmax etc.

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Introduction to R

October 23, 2018 @ 9:00 am - 12:00 pm
CLICC Classroom C, 320 Powell Library, 10740 Dickson Court
Los Angeles, CA 90095 United States
+ Google Map
Free

RSVP FOR EVENT R is statistical package that runs on Windows, Macintosh and UNIX platforms. This class is designed for people who are just starting to use R. The students in the class will have a hands-on experience using R for doing statistics, graphics, and data management. The class notes are the scripts for the class. The R class notes do not contain any of the computer output. The class notes are not meant to be an R textbook or…

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Introduction to Message Passing Interface (MPI)

October 22, 2018 @ 2:00 pm - 4:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Free

RSVP FOR EVENT MPI (message passing interface) is the de facto standard for distributed-memory parallel scientific computing. While the entire MPI API is quite extensive, this class will cover a number of key ingredients commonly used in practice. This class is useful for those who plan to start writing MPI code, and for those who would like to know how MPI works in order to operate an existing MPI code. Working knowledge of C and Fortran programming languages will be…

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Python for High Performance Computing

October 19, 2018 @ 2:00 pm - 4:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Free

RSVP FOR EVENT Python, originally developed as a general-purpose programming language, has gained its popularity in the scientific community in recent years owing to its elegant and easy-to-understand syntax and powerful libraries. Python fully supports both functional and object-oriented programming styles. This class will discuss a number useful features of Python in the context of scientific computing, and introduce a number of supporting packages, including numpy for fast array-based computations, h5py to access HDF5 files, and the use of Python…

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SAS SQL 1: Essentials

October 17, 2018 - October 18, 2018
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States

RSVP FOR THE EVENT 2-Day Workshop, 9am - 5pm Daily This course teaches you how to process SAS data using Structured Query Language (SQL). Learn how to query and subset data, summarize and present data, combine tables, including complex joins and merges, create and modify table views and indexes, replace multiple DATA and PROC steps with one SQL query. This course can help prepare you for the following certification exam(s): SAS Advanced Programming for SAS 9. Before attending this class, you should be able…

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Informal Discussions on Machine Learning

October 16, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
+ Google Map

This is a recurring weekly event from Tuesday, Oct. 9th – Tuesday, Oct. 30th  (4 courses total). Please attend all weeks if your time permits. No RSVP is necessary. This will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations, we will go through logistic regression, binary classification, multi-class classification, neural networks, hidden Layers, forward propagation, backward propagation, L1 and L2 regularization, sigmoid functions, confusion matrix,  one-hot-encoding, softmax etc.

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SAS Macro Language 1: Essentials

October 15, 2018 - October 16, 2018
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States

RSVP FOR THE EVENT 2-Day workshop, 9:00am - 5:00pm daily This course focuses on the components of the SAS macro facility and how to design, write, and debug macro systems. Emphasis is placed on understanding how programs with macro code are processed. Learn how to perform text substitution in SAS code, automate and customize the production of SAS code, conditionally or iteratively construct SAS code and use macro variables and macro functions. This course can help prepare you for the following certification…

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Introducing Python for Data Science and the Web

October 10, 2018 @ 1:00 pm - 3:00 pm
West Electronic Classroom, 23167 Young Research Library, 280 Charles E Young Drive North
Los Angeles, CA 90095 United States

RSVP FOR THE EVENT This entry-level workshop will introduce Python as a tool for digital researchers and scholars wanting to incorporate data on the web. The following Python libraries will be covered: requests, lxml, pandas, and numpy. Find other UCLA Library, Advanced Research Workshop Series

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Informal Discussions on Machine Learning

October 9, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
+ Google Map

This is a recurring weekly event from Tuesday, Oct. 9th – Tuesday, Oct. 30th  (4 courses total). Please attend all weeks if your time permits. No RSVP is necessary. This will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations, we will go through logistic regression, binary classification, multi-class classification, neural networks, hidden Layers, forward propagation, backward propagation, L1 and L2 regularization, sigmoid functions, confusion matrix,  one-hot-encoding, softmax etc.

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Introduction to SAS

October 9, 2018 @ 9:00 am - 12:00 pm
CLICC Classroom C, 320 Powell Library, 10740 Dickson Court
Los Angeles, CA 90095 United States
+ Google Map
Free

RSVP FOR EVENT SAS is a powerful statistical package that runs on many platforms, including Windows and Unix. This class is designed for people who are just getting started using SAS. The students in the class will have a hands-on experience using SAS for statistics, graphics, and data management. The SAS class notes do not contain any of the computer output. The class notes are not meant to be a SAS textbook or a reference manual. The notes for the…

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Running Applications on the Hoffman2 Cluster: Case Studies

October 8, 2018 @ 2:00 pm - 4:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Free

RSVP FOR EVENT This class will address the process of creating Matlab standalone executables and running Matlab in batch, as well as running Abaqus python scripts. Example of how to submit array jobs using Abaqus, R and other applications. Can my simulations be submitted as array jobs? Bring your own problem. Also, Jupyter Notebooks: another way to run python and R on Hoffman2.

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Introduction to GIS: Got Data? Map it!

October 3, 2018 @ 1:00 pm - 3:00 pm
West Electronic Classroom, 23167 Young Research Library, 280 Charles E Young Drive North
Los Angeles, CA 90095 United States

RSVP FOR THE EVENT It is said that more than 80% of all data has a spatial component to it. As more and more research is leaning towards spatial analysis, this course offers an introduction to Geographic Information Systems, GIS, as a means to spatialize and analyze your data. As a hands-on course, you will learn how to download data, manipulate and join data to existing geographic boundaries, and create stunning cartographic representations. There are no pre-requisite requirements to take…

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Google Machine Learning Crash Course

October 2, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States

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 knowledge to Machine learning. To guide us through the process we will use the course notes and exercises provided at the Google Machine Learning Crash…

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Introduction to Stata

October 2, 2018 @ 9:00 am - 12:00 pm
CLICC Classroom C, 320 Powell Library, 10740 Dickson Court
Los Angeles, CA 90095 United States
+ Google Map
Free

Stata is a powerful and yet easy-to-use statistical package that runs on Windows, Macintosh and Unix platforms. This class is designed for people who are just getting started using Stata. The students in the class will have a hands-on experience using Stata for statistics, graphics and data management. The class notes are the scripts for the class available to the students in the class and to others on the Internet. The Stata class notes do not contain any of the…

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Running Applications on the Hoffman2 Cluster: Introduction

October 1, 2018 @ 2:00 pm - 4:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Free

The Hoffman2 cluster is a powerful computational resource for the UCLA research community. This class is designed to clarify the process of porting your own applications on the cluster or using applications already available on the cluster. It also addresses how to port your workflow to the Hoffman2 and how to submit batch and run interactive applications.

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September 2018

Google Machine Learning Crash Course

September 25, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States

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 knowledge to Machine learning. To guide us through the process we will use the course notes and exercises provided at the Google Machine Learning Crash…

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Google Machine Learning Crash Course

September 18, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States

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 knowledge to Machine learning. To guide us through the process we will use the course notes and exercises provided at the Google Machine Learning Crash…

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University Stats Camp: Longitudinal Structural Equation Modeling (SEM) Seminar

September 17, 2018 @ 9:00 am - September 19, 2018 @ 5:00 pm

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 growth curve modeling Testing for Mediation and Moderation Multilevel and multiple group SEM Using Phantom Constructs Multiple group modeling   Instructor, Todd Little, Ph.D. &…

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University Stats Camp: Multilevel Structural Equation Modeling with xxM Seminar

September 17, 2018 @ 9:00 am - September 19, 2018 @ 5:00 pm
OIT Conference Room 5308B, 5308B Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States

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 non-standard data-structures. Non-standard data are indeed very common across multiple domains but rarely analyzed in a satisfactory manner.   Instructor, Paras Mehta, Ph.D. 9:00am -…

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Google Machine Learning Crash Course

September 11, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States

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 knowledge to Machine learning. To guide us through the process we will use the course notes and exercises provided at the Google Machine Learning Crash…

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June 2018

XSEDE HPC Workshop: Summer Boot Camp 6/4-6/7

June 4, 2018 @ 8:00 am - June 7, 2018 @ 2:00 pm

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, OpenACC and accelerators. It will be presented using the Wide Area Classroom(WAC) training platform and will conclude with a special hybrid exercise contest that will…

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May 2018

HPC and Big Data Analytics using Comet

May 15, 2018 @ 9:00 am - 4:00 pm
Free

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 9:10 AM - 10:10 AM: Introduction to SDSC Resources Comet, hardware overview Software, stack, queues, etc 10:10 AM - 10:20 AM: Short break 10:20 AM…

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High-performance programming: back to the hardware

May 3, 2018 @ 10:30 am - May 4, 2018 @ 4:00 pm
Free

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 barriers Instructor: Fedor G Pikus, Ph.D., Chief Engineering Scientist, Design to Silicon division, Mentor Graphics Corp (Siemens business). Timing: 10:30 AM - 4 PM on…

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January 2018

UCLA/CESMII Project Presentation: Container Orchestration (Kubernetes, Docker Swarm) and Workflows – Part 2

January 30, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Free

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.

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UCLA/CESMII Project Presentation: Container Orchestration (Kubernetes, Docker Swarm) and Workflows – Part 1

January 23, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Free

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.

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December 2017

XSEDE HPC Workshop: BIG DATA

December 5, 2017 @ 8:00 am - December 6, 2017 @ 2:00 pm

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, visit: https://psc.edu/hpc-workshop-series/big-data-december-2017 Agenda: Tuesday, December 5th All times given are Pacific 08:00 Welcome 08:25 Intro to Big Data 09:00 Hadoop 09:30 Intro to Spark 10:00…

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October 2017

Computing Environment on Linux – II

October 31, 2017 @ 2:00 pm - 4:00 pm
Free

  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.

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Current and future requirements for Advanced Research Cyberinfrastructure – Panel Discussion

October 25, 2017 @ 11:45 am - 1:00 pm
Free

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 - Medical Imaging Informatics Richard Sportsman – Chemistry and Biochemistry Iris Chang – Material Science and Engineering Francesca Albrezzi – World Arts and Cultures Date:…

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June 2017

Scaling to Petascale Institute

June 26, 2017 @ 8:00 am - June 30, 2017 @ 3:00 pm

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 you need to scale your simulation or data analysis to a Petascale system? This institute is for people developing, modifying and supporting research projects who…

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May 2017

Resurrecting Historical Monuments: 3D Models, Metadata, and the Case of the Lady Chapel at Saint-Germain-des-Prés

May 10, 2017 @ 11:45 am - 1:00 pm
Free

    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? Our understanding of these monuments relies mainly on fragmentary evidence such as textual descriptions, drawings, or lithic fragments scattered throughout various warehouses, archives, and museums.…

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April 2017

HPC and Big Data Analytics using Comet

April 4, 2017 @ 9:00 am - 4:30 pm
Free

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) 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…

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February 2017

Python for High Performance Computing II

February 17, 2017 @ 10:00 am - 12:00 pm
Free 70 spots left

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…

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Python for High Performance Computing I

February 10, 2017 @ 10:00 am - 12:00 pm
Free 70 spots left

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…

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Using Hoffman2 cluster

February 9, 2017 @ 10:00 am - 12:00 pm
Free 70 spots left

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 in terminal/command-line mode. 2. Exploration of how to run various computational tasks on or from the Hoffman2 Cluster, illustrated by hands-on example transcripts. 3. A…

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August 2016

Workflows Workshop

August 9, 2016 @ 8:00 am - August 10, 2016 @ 3:00 pm
Kerckhoff – Charles E. Young Grand Salon, 308 Westwood Plaza
Los Angeles, 90095 United States
+ Google Map

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 Waters sustained-petascale computing project, this workshop will provide an overview of workflows and how they can enhance research productivity. A general session on the value…

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May 2016

IDRE Seminar: Computational challenges and solutions in an analysis of large-scale whole genome sequencing data

May 5, 2016 @ 12:00 pm - 1:00 pm

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 will be served*) Location: 5628 Math Sciences Bldg. RSVP**: http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3503&SecID=3491 Abstract: Whole-genome sequencing (WGS) technologies have emerged as a powerful approach to interrogate complete genome…

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February 2016

Profiling – Code clinic session

February 24, 2016 @ 1:00 pm - 3:00 pm
OIT Conference Room 5907, 5907 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States

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…

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Computing Environment on Linux – II

February 16, 2016 @ 1:00 pm - 3:00 pm
Kerckhoff – Charles E. Young Grand Salon, 308 Westwood Plaza
Los Angeles, 90095 United States

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 link: http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3491&SecID=3479

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Computing Environment on Linux – I

February 4, 2016 @ 1:00 pm - 3:00 pm
Kerckhoff – Charles E. Young Grand Salon, 308 Westwood Plaza
Los Angeles, 90095 United States

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. Registration link: http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3490&SecID=3478

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Using Hoffman2 Cluster

February 2, 2016 @ 2:00 pm - 4:00 pm

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 in terminal/command-line mode. 2. Exploration of how to run various computational tasks on or from the Hoffman2 Cluster, illustrated by hands-on example transcripts. 3. A…

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November 2015

HPC and Big Data Analytics using Comet – SDSC’s latest Computing Resource through XSEDE

November 12, 2015 @ 9:00 am - 4:30 pm
Kerckhoff – Charles E. Young Grand Salon, 308 Westwood Plaza
Los Angeles, 90095 United States

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. UCLA-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…

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October 2015

Python for High Performance Computing – Part 2

October 26, 2015 @ 2:00 pm - 4:00 pm
OIT Conference Room 5907, 5907 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States

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 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…

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National Leadership Class Computing Resources and Opportunities for UCLA Researchers

October 22, 2015 @ 2:00 pm - 3:00 pm
Kerckhoff – Charles E. Young Grand Salon, 308 Westwood Plaza
Los Angeles, 90095 United States

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. The…

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Introduction to Cuda

October 20, 2015 @ 2:00 pm - 4:00 pm
Kerckhoff – Charles E. Young Grand Salon, 308 Westwood Plaza
Los Angeles, 90095 United States

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. The objective of the class is to provide an introduction to CUDA. This session…

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