CS/EE 217 GPU Architecture and Parallel Programming - Fall 2023
Time and Location: Monday, Wednesday 06:30pm - 7:50am Pacific time
- Bourns Hall, Room A125
- Monday discussion section will not be used
Instructor: Daniel Wong
- Email: firstname.lastname@example.org
- Homepage: http://www.danielwong.org
- Office Hours: Monday 4:30-5:30PM @ WCH425
TA: Ali Jahanshahi, Mohammadreza Rezvani
- Email: email@example.com@ucr.edu, firstname.lastname@example.org
- Wednesday 2-3pm @ WCH110
- Thursday 3-4pm over Zoom (https://ucr.zoom.us/j/95962350056)
eLearn (for grades and lecture videos/materials on Yuja): http://eLearn.ucr.edu
Piazza (for discussions): Now embedded in eLearn.
Github Classroom (for assignment submission)
Welcome to CS/EE 217!
Class webpage and communication
The class webpage is located at http://teaching.danielwong.org/csee217/fall23
Information, resources, and announcements related to the class will be posted to the webpage.
You will need an ENGR account. EE and CEN students should already have one. If you do not, you can create one here: https://www.engr.ucr.edu/secured/systems/login.php
Introduces the popular CUDA based parallel programming environments based on Nvidia GPUs. Covers the basic CUDA memory/threading models. Also covers the common data-parallel programming patterns needed to develop a high-performance parallel computing applications. Examines computational thinking; a broader range of parallel execution models; and parallel programming principles.
Prerequisite: CS160 Concurrent Programming and Parallel Systems Strong C/C++ programming skills are required
- Programming Massively Parallel Processors, 2nd Ed., by D. Kirk and W Hwu (primary textbook)
- CUDA by example, Sanders and Kandrot (recommended)
- Assignments: 32% (8% each assignment)
- Final Project: 20% (Implementation: 10%, Final report: 10%)
- Midterm Exam: 25%
- Final Exam: 20%
- Participation/Discussion: 3%
- Extra credit: 2%
- You have 3 slip days that you can use on any assignment (not project). If you exceed your slip days, there will be a 15% penalty per late day (counting weekends).
- Slip days CANNOT be applied to the final project. We need ample time to grade the last assignment before grades are due.
- No extensions for assignments will be given (see slip days). Even if you're one minute late, it will be considered late.
- All assignments will be due at the end on the day (midnight Pacific time).
- All assignments should be uploaded to iLearn or Github Classroom.
- You are responsible for all materials covered in lectures.
- All assignments, quizzes, and exams are individual effort.
- Cheating in assignments, quizzes, projects, and exams are absolutely prohibited. The minimum penalty for a violation of the regulations will be a zero for the assignment; the maximum penalty will be failure in the course.
- Examinations must be taken in class on the day they are given. There will be no exceptions.
Here at UCR we are committed to upholding and promoting the values of the Tartan Soul: Integrity, Accountability, Excellence, and Respect. As a student in this class, it is your responsibility to act in accordance with these values by completing all assignments in the manner described, and by informing the instructor of suspected acts of academic misconduct by your peers. By doing so, you will not only affirm your own integrity, but also the integrity of the intellectual work of this University, and the degree which it represents. Should you choose to commit academic misconduct in this class, you will be held accountable according to the policies set forth by the University, and will incur appropriate consequences both in this class and from Student Conduct and Academic Integrity Programs. For more information regarding University policy and its enforcement, please visit: http://conduct.ucr.edu.
You are expected to attend all lectures and discussion. While the slides and readings contain all the information you need to know, some of the contents won't make sense unless you attend lecture. =)
You are responsible for keeping up with course lectures and assignments.
The following schedule is tentative and is subject to change.
Note: You need to be logged into eLearn to access the lecture slides. The slide links to the course's eLearn Files page.
|1||October 2, M||Introduction and Logistics, OS/Architecture Review||0-Introduction.pdf
|1||October 4, W||CUDA C||Piazza Intro
Assignment 1 - Matrix Addition
|2||October 9, M||CUDA Parallelism||3-CUDA-Parallelism.pdf|
|2||October 11, W||GPU architecture overview, TB / Warp Scheduling||4-GPU-Architecture.pdf|
|3||October 16, M||No Class||Assignment 1 Due|
|3||October 18, W||CUDA Memories, Reduction Algorithm / Control Divergence||Assignment 2 - Reduction||5-Reduction.pdf|
|4||October 23, M||Reduction Algorithm / Control Divergence (cont.)|
|4||October 25, W||Streams - Compute/Mem Overlapping||6-Streams.pdf|
|5||October 30 , M||Unified Memory||Assignment 2 Due
|5||November 1, W||Midterm Exam Review||Midterm-Samples-Blank.pdf
|6||November 6, M||Midterm Exam||Midterm-Solution-A
|6||November 8, W||High-level Libraries / Emerging GPU Languages/Frameworks||Libraries-CUDA10
|7||November 13, M||Matrix Multiply||Assignment 3 - Matrix Multiply||8-MatrixMultiply.pdf|
|7||November 15, W||Matrix Mutiply (cont.), DRAM / Memory Coalescing||Extra Credit||9-MemoryCoalescing.pdf|
|8||November 20, M||Histogram & Atomic Operations||Assignment 4 - Histogram||10-Histogram.pdf|
|8||November 22, W|
|9||November 27, M||Multi-GPU Programming / Communication||Assignment 3 Due||Multi-GPU.pdf|
|9||November 29, W||GPU Architecture - Multi-Chip Module / GPU Trends||MCM.pdf|
|10||December 4, M||Final Exam Review||Assignment 4 Due||Final-Samples.pdf Final-Samples-Blank.pdf|
|10||December 6, W||Final Exam|
|Final||December 13, W||Final Project Due
Extra Credit Due
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Plagiarism is the most common form of academic misconduct at UCR. It is the appropriation of another person's ideas, processes, results, or words without giving appropriate credit. This includes the copying of language, structure, or ideas of another and attributing (explicitly or implicitly) the work to one's own efforts. Plagiarism means using another's work without giving credit.
For more information about plagiarism, see Academic Integrity Policies and Procedures.
Reasonable Accommodation for Disabilities
UCR is committed to providing reasonable accommodation for all students with disabilities. Students with disabilities who require accommodations in this course should contact their professor as early in the semester as possible.
Students with disabilities must be registered with the Student Disability Resource Center prior to receiving accommodations in this course.
If you have a disability and you would like to make a request for reasonable accommodation, please see the Graduate Student Handbook or get in touch with the Student Disability Resource Center.
Adjustments for Pregnancy/Childbirth Related Issues
Should you need modifications or adjustments to your course requirements because of documented pregnancy-related or childbirth-related issues, please contact me as soon as possible to discuss your options. Generally, modifications will be made where medically necessary and similar in scope to accommodations based on temporary disability. Learn more about the rights of pregnant and parenting students by consulting the Office of Diversity, Equity, and Inclusion.
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