Matlab Distributed Computing Seminar at PSC

Host Site:

PSC

Host site URL:

http://www.psc.edu

9:00 a.m. – 12:00 p.m.
Presenters:
Dr. Jiro Doke, Senior MathWorks Application Engineer
Dr. Anirban Jana, Senior Scientific Specialist, Pittsburgh Supercomputing Center

Part I: 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
Part II: Running MATLAB jobs on PSC’s Blacklight supercomputer
In this session, you will learn how to use the MATLAB Distributed Computing Server (MDCS) on PSC’s “Blacklight” cluster, an SGI UV 1000 cc-NUMA shared-memory system comprised of 256 blades, each of which has 16 cores and 128 GB of memory.

Highlights include:

Scaling from the desktop to MDCS on Blacklight
Configuring your machine to use MDCS on Blacklight
How to submit and retrieve jobs to MDCS on Blacklight
Application example(s)

More information: http://www.psc.edu/index.php/component/jevents/icalrepeat.detail/2012/11/27/133/53|55|82/matlab-distributed-computing-seminar

Sessions:

In person (PSC)

11/27/2012 09:00 - 11/27/2012 12:00 EST (SESSION HAS ENDED)
View Session Details →
Contact Information
Contact
PSC User Services
Contact phone
412-268-4960
Contact email
remarks@psc.edu
Location
Name
PSC
Address
300 South Craig Street
Pittsburgh, PA 15213
Phone
412-268-4960
URL
www.psc.edu
Posted: 11/21/2012 23:54 UTC