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February 2016

IDRE Seminar: Geometric Graph-based Methods for High Dimensional Data

February 11 @ 12:00 pm - 1:00 pm
5628 Math Science Building, UCLA

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**:   Abstract: We 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…

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Computing Environment on Linux – II

February 16 @ 1:00 pm - 3:00 pm
5628 Math Science, Visualization Portal

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:

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Profiling – Code clinic session

February 24 @ 1:00 pm - 3:00 pm
5907 Math Sciences Building

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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March 2016

National Leadership Class Computing Resources and Opportunities for UCLA Researchers

March 1 @ 1:00 am - 2:00 pm
5628 Math Science, Visualization Portal

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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