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PREVIOUS WORKSHOPS

Data Intensive Computing

Advanced Computational Methods

Accelerators in High Performance Computing and Computational Science

UPCOMING WORKSHOPS

The CUNY HPCC is
operated by the College of
Staten Island
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and funded, in part, by
grants from the City of
New York, State of New
York, CUNY Research
Foundation, and National
Science Foundation
Grants CNS-0958379 and
CNS-0855217.

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UPCOMING WORKSHOPS

Workshop on:

MATLAB Training at Graduate Center
A Serious Conversation about the Future of Staten Island

Thursday, June 6, 2013

Session 1: Parallel Computing with MATLAB
Session 2: Scaling up MATLAB applications to Clusters and Servers

 

MathWorks and CUNY invite you to join us for a complimentary MATLAB technical session on campus.
June 6th -The Graduate Center - 365 Fifth Avenue - Room 6495.

Follow this link to register http://www.mathworks.com/CUNY

9:45am Registration and sign in. Walk-ins welcome to register onsite.
10:00am-12:00pm Session1

Session 1: Parallel Computing with MATLAB - In this session you will learn how to solve computationally-intensive problems using multicore processors, and GPU’s.  We will introduce you to high-level programming constructs that allow you to parallelize MATLAB applications and run them on multiple processors.  We will also demonstrate how to take advantage of GPUs to speed up computations without low-level programming.

Highlights include:

  • Toolboxes with built-in support for parallel computing
  • Creating parallel applications to speed up independent tasks
  • Employing GPUs to speed up your computations

1:45pm Registration and sign in. Walk-ins welcome to register onsite.
2:00pm-4:00pm Session 2

Session 2: Scaling up MATLAB applications to Clusters and Servers - In this session you will learn to overcome the limits of your local machine to solve long simulations and/or data intensive tasks. We will show you how to overcome the memory limits of your desktop computer by distributing your data on a large scale computing resource, such as a cluster.

Highlights include:

  • Creating Batch jobs
  • Programming with distributed arrays to work with large data sets
  • Scaling up to computer clusters, grid environments or clouds

CLICK HERE TO REGISTER.