Final exam in class on Wednesday, June 2. It will be cumulative. Be prepared for all lectures
Lab assigment 4 has been assigned. It is due Friday, June 4 at midnight.
Lab assigment 3 has been assigned. It is due Friday, May 21 at midnight.
Midterm exam in class on Wednesday, May 5.
Lab assignment 2 has been assigned. It is due Friday, May 7 at midnight.
Lab assignment 1 has been assigned. It is due Monday, April 19 at midnight.
Recorded lectures and discussions can be found on iLearn/YuJa/All Channels/EE_147_001_21S
Welcome to CS/EE 147!
The class webpage is located at https://www.cs.ucr.edu/~amazl001/teaching/cs147/S21
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
Graphics processing units (GPUs) play key roles in many modern application domains, such as image processing, machine learning, and scientific computing. GPUs provide programmers with the massive parallelism required for modern data intensive applications.
This course introduces the principles and practices of programming GPUs using the CUDA parallel programming environment. Topics include CUDA memory/threading models, common data-parallel programming patterns and libraries needed to develop high-performance parallel computing applications. Students will gain hands-on experience with designing and implementing high performance applications on GPU platforms.
Prerequisite: CS/EE 120B or equivalent; consent of instructor.
The course will assume the knowledge of the C++ programming language.
If you have a disability or believe you may have a disability, you can arrange for accommodations by contacting Services for Students with Disabilities (SSD) at 951-827-4538 (voice) or email@example.com (email). Students needing academic accommodations must first register with SSD and provide required disability-related documentation. If you already have approved accommodation(s), you are advised to notify the faculty instructor of record for this course privately.
All students, faculty, and staff are responsible for understanding and complying with the University’s stated academic requirements. Students should feel free to express their thoughts and opinions in an academic forum.
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.
The following schedule is tentative and is subject to change.
Note: You need to login to ilearn to access the lecture slides and materials.
|1||March 29||Introduction||Introduction.pdf Introduction_Discussion.pdf BenderTutorial.pdf|
|2||April 5||OS/Architecture Review,CUDA Parallelism||Lab 1 - Vector Add||Architecture_Review.pdf
|3||April 12||CUDA Parallelism||Quiz 1: 04/14||CUDA_Parallelism.pdf|
|4||April 19||Control Divergence, Parallel Reduction Algorithm, Parallel Scan||Lab 1 Due: 04/19
Lab 2 - Reduction
|5||April 26||Matrix Multiplaction||Quiz 2: 04/28||Matrix_Multiplcation.pdf|
|6||May 3||Review, Midterm 1||Lab 2 Due: 05/07||Midterm-Review.pdf|
|7||May 10||Modern CUDA- Unified Memory, Streams||Lab 3 - Matrix Multiply||Pinned_UnifiedMemory.pdf
|8||May 17||Histogram, Atomic Operations||Quiz 3: 05/19
Lab 4 - Histogram
|9||May 24||Dynamic Parallelism, Review||Lab 3 Due: 5/24||DynamicParallelism.pdf|
|10||May 31||May 31 - Holiday, June 2 - Midterm 2||June 2 - Final Exam
Lab 4 Due: Friday 6/04