The bdgpu GPGPU compute nodes are being upgraded from CUDA 2.3 to CUDA 4.1.  This process should be complete by Sunday, April 8th.  This does not affect CPU jobs running on these nodes. If you have problems with GPGPU applications not running in the new environment, please send an email to scsc@duke.edu.

The Teer labs nodes have been temporarily removed from the Condor pool until after the week of April 16-20th in order to correct a problem with the preemption of jobs when the machines are being used by a local or remote user.  In the meantime. the bdgpu, vcl and physics machines are still available for CPU-based jobs.

Join MathWorks for a free MATLAB seminar on Thursday, April 26, 2012, in the Fitzpatrick Center Schiciano Auditorium Side A.

Data Analysis, Parallel & GPU Computing with MATLAB at Duke University

–Register now–

Register at http://mathworks.com/seminars/Duke2012 

–Agenda—

Presenter: Bonita Vormawor, Application Engineer

9:45 – 10:00 a.m.

Registration and sign-in. Walk-ins are welcome.

10:00 a.m. – 1:00 p.m.

Data Analysis, Parallel & GPU Computing with MATLAB

Part 1: Data Analysis with MATLAB

Attend this free seminar to find out how you can use MATLAB and its add-on products to develop algorithms, visualize and analyze data, and perform numeric computation.

MathWorks engineers will provide an overview of MATLAB through live demonstrations, examples, and user testimonials, showing how you can use MATLAB and related toolboxes to:

•                Access data from many sources (files, other software, hardware, etc.)

•                Use interactive tools for iterative exploration, design, and problem solving

•                Automate and capture your work in easy-to-write scripts and programs

•                Share your results with others by automatically creating reports

•                Build and deploy GUI-based applications

MATLAB provides a flexible environment for teaching and research in a wide range of applications, including signal processing and communications, image processing, math and optimization, statistics and data analysis, control systems, hardware data acquisition, computational finance, and computational biology.

Part Two: Parallel Computing with MATLAB 

In this session, you will learn how to solve computationally and data-intensive problems using multicore processors, GPUs, and computer clusters. We will introduce you to high-level programming constructs that allow you to parallelize MATLAB applications without CUDA or MPI programming and run them on multiple processors. We will also show you how to overcome the memory limits of your desktop computer and solve problems that require manipulating very large matrices by distributing your data.

Highlights include:

•                Toolboxes with built-in support for parallel computing

•                Creating parallel applications to speed up independent tasks

•                Programming with distributed arrays to work with large data sets

•                Scaling up to computer clusters, grid environments, or clouds

•                Tips on developing parallel algorithms

Register at mathworks.com/seminars/Duke2012

Enabling Discovery with Dell HPC Solutions

Please join us for this 1-day workshop

Register Here:

• https://www.etouches.com/UNC

Agenda:

• 8:30 a.m. – 8:45 a.m.                Registration
• 8:45a.m. — 9:00 a.m.                Dell Welcome
• 9:00 a.m. – 9:45 a.m.              “Dell HPC Solutions”  (Dr. Glen Otero, Dell HPC Computer Scientist)
• 9:45 a.m. – 10:25 a.m.              Corbin Jones, Ph.D., Associate Professor of Biology and Faculty Director of  High Throughput Sequencing Facility, University of North Carolina, Chapel Hill
• 10:25 a.m. – 10:35 a.m.Break
• 10:35 a.m. – 11:15 p.m.            “Enabling discovery in Clinical Genomics” (Charles Schmitt, Director, Informatics, RENCI)
• 11:15 p.m. – 11:55  a.m.           “Intro to Parallel Programming Methods”John Pormann, Ph.D. Director, Scalable Computing Support CenterDuke University
• 12:00 p.m. – 12:45 p.m.            Networking Lunch
• 12:45 p.m. – 1:25 p.m.              Mark Burke, David H. Murdock Research Institute
• 1:25 p.m.  –  2:05 p.m.              Customer #5 Presentation (Duke)
• 2:05 p.m. –   2:35 p.m.              “The Core to Faster Simulation and Greater Discovery”  (Laurie Martin, Enterprise Technologist, Intel)
• 2:35 p.m. —  2:45 p.m                Break
• 2:45 p.m. –  3:00 p.m.               Brandon Hathaway, Director of Business Development, Mellanox
• 3:00 p.m. –  3:15 p.m.               “The Co-Evolution of Hadoop and HPC” (Josh Wills; Director of Data Science, Cloudera)
• 3: 15 p.m. – 4:00 p.m.             “HPC Panel of Experts”  (Ask your HPC questions of this team of HPC Experts from across the industry!)

Please RSVP to the website above if you’d like to attend.