Search Mailing List Archives

Limit search to: Subject & Body Subject Author
Sort by: Reverse Sort
Limit to: All This Week Last Week This Month Last Month
Select Date Range     through    

[farmshare-discuss] Workshop on Parallel MATLAB by MathWorks at Stanford

Zhiyong Zhang zyzhang at
Wed Sep 6 13:51:51 PDT 2017

Please join MathWorks for free MATLAB technical sessions on Tuesday, September 19, 2017 at Redwood Hall, G19.   Improve the performance of serial MATLAB code and learn to scale code to multiple cores and clusters

Parallel and Distributed Computing with MATLAB at Stanford
--Register now--
Register for this seminar at <><>

Presenter: Saket Kharsikar, Senior Application Engineer

9:30 – 10:00 a.m.
Registration and sign-in. Walk-ins are welcome

10:00 AM Parallel and Distributed Computing with MATLAB seminar
Using the parallel computing capabilities in MATLAB allows you to take advantage of additional hardware resources that may be available either locally on your desktop or on clusters and clouds. By using more hardware, you can reduce the cycle time for your workflow and solve computationally and data-intensive problems faster.

We will discuss and demonstrate how to perform parallel and distributed computing in MATLAB. We will introduce you to parallel processing constructs such as parallel for-loops, distributed arrays, and message-passing functions. We will also show you how to take advantage of common trends in computer hardware, from multiprocessor machines to computer clusters.

Highlights Include:

  *   Built-in support for parallel computing
  *   Creating parallel applications to speed up independent tasks
  *   Scaling up to computer clusters, grid environments or clouds
  *   Employing GPUs to speed up your computations
  *   Programming with tall and distributed arrays to work with large data sets

1:00 PM Parallel Computing with MATLAB and Scaling to Farmshare 2 hands-on workshop
A hands-on workshop for more experienced MATLAB users seeking to reduce workflow cycle and solve computationally and data-intensive problems faster by scaling to the Farmshare 2 cluster.


  *   5-minute introduction from Stanford Research Computing
  *   20-minute overview of Parallel Computing with MATLAB
  *   1.5 hour hands-on, self-paced, parallel computing skills workshop
  *   30-minute Q&A session
  *   30-minute hands-on session for submitting job to Farmshare 2

Register for this seminar at<>

We hope you can join us. Contact Tim Mathieu of MathWorks (tmathieu at<mailto:tmathieu at>) with any questions.

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <>

More information about the farmshare-discuss mailing list