Fall 2018 EE599-002 Graphic Processor Computing
Fall 2018 EE699-002 Graphic Processor Computing

Time & Place: TR 9:30-10:45 PM; meeting in FPAT 265
Instructor: Professor Hank Dietz
Instructor URL: http://aggregate.org/hankd/
Course URL: http://aggregate.org/GPUCOURSE/

Graphic Processor Computing is about the emerging many-core parallel computing architecture that has grown out of hardware originally developed as Graphics Processing Units (GPUs) for high-end video cards.

The first exam was in class on Thursday, October 11, 2018. Review for the exam was in class on Tuesday, October 9, 2018.

We will not have class on Tuesday, October 23, 2018 -- Professor Dietz will be presenting a paper at the 9th International Green And Sustainable Computing Conference.

Course Materials

All course materials will be linked here:

Projects

Aside from working on your own systems, there are two alternatives. There will soon be two NVIDIA GPU systems in Marksbury for this course, but we also might be using the large GPU system managed by CCS.

Assignment 0: How Fast Is This? is now posted. This assignment must be done using one of the two systems we are making available. It is due before class, Thursday, October 4, 2018.

Assignment 1: Traveling Salesperson Genetic Algorithm is now posted. This assignment must be done using one of the two systems we are making available. It was origininally to be due before class, Thursday, October 18, 2018, but the deadline has been extended by one week to October 25.

Course Staff

Professor Hank Dietz is usually in the Davis Marksbury Building; see his home page for complete contact info. He has an "open-door" policy that whenever his door is open and he's not busy with someone else, he's available -- and yup, there really is a slow-update live camera in his office so you can check. Alternatively, you also can email hankd@engr.uky.edu to make an appointment; please use "GPUCOURSE" in the email subject line for anything related to this course.

About The Graphic

About the graphic: The first GPU that was truly intended as a computing device, rather than a graphics card, was the ATI FireStream, shown in the fisheye image. Since then, ATI (now part of AMD) and NVIDIA have been the major players, with NVIDIA's CUDA software environment dominating the field. OpenCL is the newer "generic" software environment being pushed as a portable standard. There's even some significance to the color and placement of the text... but I've said enough for now. ;-)


EE599/699 GPU Computing