Part 1: Use of CUDA which makes it easier for specialists in parallel programming to use GPU resources
Part 2: Programming GPUs using high level programming language - MATLAB and directive based approaches including OpenACC and OpenMP (if time permits)
Prerequisites: Familiarity with a low level programming language such as C/C++, or Fortran, Matlab and working comfortably in a UNIX/Linux environment or completed corresponding HPEDSI courses (cluster computing, C++).
Note for HPC certificate – you should have completed the linux/cluster computing
Instructor: Dr. Jerry Ebalunode
Date: 8th March 2022 - 19th April 2022
Time: Tues Thur 10:30 AM - 12:00 PM
Location: Join Microsoft Teams
- Attendees who are not current UH student, staff or faculty, should please make the payment for the course using this payment link https://store.mynsm.uh.edu/index.php?route=product/product&product_id=406&search=303
UH Alumni Registration Fee: $250.00
Non-UH Affiliate Registration Fee: $250.00
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** Non-UH affiliates and alumni registering for the HPE DSI classes MUST:
(1) complete the payment of the course fees ($250.00 per course) at least three(3) weeks before course commencement.
(2) inform HPE DSI of their interest in taking the course at least three(3) weeks before the course start date. This will allow adequate time for processing of your course access credentials before the first-class meeting.
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Less than three weeks before start date: 15% cancellation fee applies.
Less than one week before start date: 25% cancellation fee applies.
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All deposits and payments made are nontransferable. The HPE DSI cannot provide refunds, transfer payments, or offer makeup sessions for classes a student might miss, for any reason. If the HPE DSI has to cancel a workshop, you will receive a full refund.