Training

Parallel Computing with MATLAB: Hands on workshop
Wednesday, April 24 1pm-4pm EST - Online

During this hands-on workshop, we will introduce parallel and distributed computing in MATLAB with a focus on speeding up application codes and offloading compute. By working through common scenarios and workflows using hands-on demos, you will gain a detailed understanding of the parallel constructs in MATLAB, their capabilities, and some of the common hurdles that you’ll encounter when using them.
 

Highlights

  • Multithreading vs multiprocessing
  • When to use parfor vs parfeval constructs
  • Creating data queues for data transfer
  • Leveraging NVIDIA GPUs
  • Parallelizing Simulink models
  • Working with large data

Register for the virtual Parallel Computing with MATLAB: Hands on workshop on April 24.


YCRC Research Support Office Hours

We invite you to connect with us live via zoom for ad hoc training and assistance with your questions on high performance computing, research, data storage, cluster usage, etc. 

Wednesdays 11am-12pm EST

https://yale.zoom.us/my/ycrcsupport

PLEASE NOTE: WE WILL NOT HOLD OHs on WEDNESDAY, MARCH 20TH, DUE TO ONE IT CONFERENCE TAKING PLACE ON THAT DAY. PLEASE EMAIL HPC@YALE.EDU FOR ASSISTANCE. 

 Phone: 203-432-9666 (2-ZOOM if on-campus)or 646 568 7788

Meeting ID: 224 666 8665

No appointment necessary.


YCRC YouTube Channel

The YCRC hosts video recordings of many of the workshops on the YCRC YouTube Channel.


Customized Training Sessions

The Yale Center for Research Computing can offer customized training for your group or department. Our existing training can be tailored to specific needs or new offerings can be developed. We have in house expertise in:

  1. Python
  2. R
  3. Version Control with Git
  4. Parallel Programming
  5. An array of applications (See the SRSC service page for more information)

Please contact us at research.computing@yale.edu for more information.


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