Research Computing Events

Welcome to IT-RCI Office Hours!

Do you have a HPC or research computing question that would benefit from some direct in-person help or maybe some one on one consulting with IT-RCI staff?

IT-RCI staff will be available for office hours on Tuesdays and Wednesdays @ 11am - noon each week in room 002C Smith Hall, Conference Room, University of Delaware or virtually via Zoom.

Please take the opportunity to stop by 002C Smith Hall, Conference Room, University of Delaware or connect virtually via Zoom to meet some of the IT-RCI staff and get help with your research computing questions. We will do our best to help you at this time, however if it requires in depth work or help from other IT-RCI staff then a ticket request will be submitted.  

We would greatly appreciate any feedback and suggestions, please email researchcomputing@udel.edu.

Thank you.

This is a two day workshop that will focus on topics including big data analytics and machine learning with Spark, and deep  learning using Tensorflow.  Both days are compact, to accommodate multiple time zones, but packed with useful information and lab exercises. Attendees will leave with a working knowledge of how to write scalable codes using MPI – the standard programming tool of scalable parallel computing.

This will be an IN PERSON event hosted by various satellite sites such as the University of Delaware in 304 Pearson Hall (Studio C), there WILL NOT be a direct to desktop option for this event. 

 For details and registration see https://sites.udel.edu/it-rci/training/access-hpc-workshops-ud-satellite-site/

Introduction of Research Software Engineer Resources for the College of Arts and Science (CAS)

Office hours are available to provide information about the software engineering resources available to the College of Arts and Science (CAS) which includes software development and computational research support.

We encourage all research groups in CAS or collaborating with a research group in CAS, including conducting experiments and general research, to utilize compute and software engineering resources in their work.

This can include developing software on your personal desktop or laptop, as well as utilizing high-performance computing resources at the University of Delaware.

You do not need to be conducting computational research in order to benefit from these resources.
If you have an idea for incorporating compute and software engineering resources
into your research, please visit during office hours or email (bkang@udel.edu). Or, please connect via Zoom: https://udel.zoom.us/j/2374305522 during this office hours.

The feasibility and estimated time for a requested project will be determined by the internal council of the College of Arts and Sciences. 

Here is a list of areas I can develop or assist with.

Windows application: graphic user interface, database, multithread
Control experiment equipment: RS232C, GPIB, USB
Android embedding application
Web application: Http, Java, Websocket
Visualization: OpenGL
High performance computing software: MPI, C, C++, FORTRAN, Python
 
Please see the attached portfolio file for details.

Welcome to IT-RCI Office Hours!

Do you have a HPC or research computing question that would benefit from some direct in-person help or maybe some one on one consulting with IT-RCI staff?

IT-RCI staff will be available for office hours on Tuesdays and Wednesdays @ 11am - noon each week in room 002C Smith Hall, Conference Room, University of Delaware or virtually via Zoom.

Please take the opportunity to stop by 002C Smith Hall, Conference Room, University of Delaware or connect virtually via Zoom to meet some of the IT-RCI staff and get help with your research computing questions. We will do our best to help you at this time, however if it requires in depth work or help from other IT-RCI staff then a ticket request will be submitted.  

We would greatly appreciate any feedback and suggestions, please email researchcomputing@udel.edu.

Thank you.

This is a two day workshop that will focus on topics including big data analytics and machine learning with Spark, and deep  learning using Tensorflow.  Both days are compact, to accommodate multiple time zones, but packed with useful information and lab exercises. Attendees will leave with a working knowledge of how to write scalable codes using MPI – the standard programming tool of scalable parallel computing.

This will be an IN PERSON event hosted by various satellite sites such as the University of Delaware in 304 Pearson Hall (Studio C), there WILL NOT be a direct to desktop option for this event. 

 For details and registration see https://sites.udel.edu/it-rci/training/access-hpc-workshops-ud-satellite-site/