CS/EE 217 GPU Architecture and Parallel Programming - Fall 2017

• Time and Location: Tues/Thur 11:10am - 12:30pm @ CHASS Interdisciplinary-North, Room 1006
• Instructor: Daniel Wong
  • Email: dwong@ece.ucr.edu
  • Homepage: http://www.danielwong.org
  • Office: WCH 425
  • Office Hours: by appointment
• TA: Marcus Chow
  • Email: mchow009@ucr.edu
  • Office Hours: Friday 2-3PM @ Winston Chung Hall 109
• Piazza (for discussions): https://piazza.com/ucr/fall2017/csee217/home
• iLearn (for assignments): ilearn.ucr.edu

• Lab 6 is assigned and due Thursday, December 14 at midnight.
• Lab 5 is assigned and due Tuesday, November 21 at midnight.
• Lab 4 is assigned and due Thursday, November 9 at midnight.
• Lab 3 is assigned and due Thursday, October 26 at midnight.
• Lab 2 is assigned and due Thursday, October 19 at midnight.
• Lab 1 is assigned and due Tuesday, October 10 at midnight.
• Welcome to CS/EE 217!

The class webpage is located at http://danielwong.org/classes/csee217-f17.

Information, resources, and announcements related to the class will be posted to the webpage.

In addition, we will be using ilearn for assignments, and piazza for discussions and help.

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

• Programming Massively Parallel Processors, 2nd Ed., by D. Kirk and W Hwu (primary textbook)
• CUDA by example, Sanders and Kandrot (recommended)

• Labs: 60%
• Exams: 40%
• Class Participation and Extra Credit: 5% bonus

• You have 5 slip days that you can use on any lab. If you exceed your slip days, there will be a 15% penalty per late day (counting weekends).
• Slip days CANNOT be applied to the last lab. We need ample time to grade the last assignment before grades are due.
• No extensions for labs will be given (see slip days). Even if you're one minute late, it will be considered late.
• All labs will be due at the end on the day (midnight).
• All labs should be uploaded to iLearn.

• You are responsible for all materials covered in lectures.
• All labs, quizzes, projects, and exams are individual effort.
• Cheating in labs, 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: conduct.ucr.edu.

You are expected to attend all lectures. While the slides contain all the information you need to know, some of the contents don't make sense unless you attend lecture.

The following schedule is tentative and is subject to change.