| Date | Topic | Lecture Notes/Lab Files | Reading |
|---|---|---|---|
| 01/12/2016 | No Class - Travel | ||
| 01/14/2016 | Course Introduction | ||
| 01/19/2016 | Parallel Hardware Chapters 1-2 (Pacheco) |
Parallel Hardware [pdf} | |
| 01/21/2016 | Lab | ||
| 01/26/2016 | P-Threads, Mutexes, Semaphores | PThreads [pdf] pthread_hello.cxx |
|
| 01/28/2016 | Lab | ||
| 02/02/2016 | TBA - Travel | ||
| 02/04/2016 | TBA - Travel | ||
| 02/09/2016 | Condition Variables, Read-Write Locks, Concurrent Data Structures | PThreads [pdf] | |
| 02/11/2016 | Lab | ||
| 02/16/2016 | GPU Computing with CUDA - Part 1 (Basics) | CUDA 1 [pdf] vector_sum.readme vector_sum_gpu.cu vector_sum_gpu_v2.cu vector_sum_gpu_v3.cu |
|
| 02/18/2016 | Lab | ||
| 02/23/2016 | GPU Computing with CUDA - Part 2 (Grids, Blocks, Warps, Threads) | CUDA 2 2 [pdf] | |
| 02/25/2016 | Lab | ||
| 03/01/2016 | GPU Computing with CUDA - Part 3 (Synchronization) | CUDA 3 [pdf] | |
| 03/03/2016 | Lab | ||
| 03/08/2016 | Test 1 Review | ||
| 03/10/2016 | Test 1 | ||
| 03/15/2016 | No Class - Spring Break | ||
| 03/17/2016 | No Class - Spring Break | ||
| 03/22/2016 | Java Threads and Synchronization | Java Threads [pdf] | |
| 03/24/2016 | Lab | ||
| 03/29/2016 | Java High Level Concurrency Objects and Sockets | Java High Level Concurrency and Sockets [pdf] | |
| 03/31/2016 | Lab | ||
| 04/05/2016 | Java URLs and URL Connections | Java URLs and URL Connections [pdf] | |
| 04/07/2016 | Lab | ||
| 04/12/2016 | Java Object Serialization | Java Object Serialization [pdf] | |
| 04/14/2016 | Lab | ||
| 04/19/2016 | Using Actors for Distributed Programming - Part 1 | Actors in Java [pdf] | |
| 04/21/2016 | Lab | ||
| 04/26/2016 | Using Actors for Distributed Programming - Part 2 | ||
| 04/28/2016 | Lab | ||
| 05/03/2016 | Test 2 Review | ||
| 05/05/2016 | Test 2 |
This course focuses on concurrent object oriented programming and modern concurrent, distributed and parallel programming models (such as OpenMP, CUDA and Actors, Processes/Channels). Students will utilize various high performance distributed computing technology. Topics covered will include shared and distributed memory systems, sockets, threads, and message passing.
At the completion of this course, students should be proficient in multiple types of concurrent and distributed programming, including GPU computing, threads, sockets, processes/channels, and actors. Main objectives include:
Students will gain knowledge/understanding of the following:
The following texts are suggested for this course:
The course grade will consist of a series of programming assignments and two tests. The grade will be calculated as follows:
There will be the following grade distribution:
The development of the individual problem solving skills needed for computer programming is one of the major objectives of this course. Students are to work independently of each other in completing the programming assignments. Any exception to this rule will require documentation signed by me allowing the collaborative work.
If you need help, you are welcome to consult with your instructor, your teaching assistant, or the staff of the department's Instructional Help Desk in 109A Streibel Hall. A submission of source code that you did not develop or homework assignments that was not your individual writing will be treated as plagiarism. These assignments will receive zero points and you may be referred to the Associate Dean of Student Life as a case of Scholastic Dishonesty.
Class attendance and lab attendance are required. Any student missing more than 6 classes without a doctors excuse will fail the course. The classroom is the primary venue for course material, announcements, and other information relevant to the course. An on-line course management system may be used to make some information available to students, but this is intended to enhance, not replace, classroom interaction.
Code for homeworks and labs must be commented and properly formatted (see different coding styles, I prefer 1TBS) or points will be taken away. The final homework submission must be submitted through Moodle. Each homework will list its grading criteria.
Late assignments will have their grades penalized by 15% the first day, and 30% the second day. No assignments will be accepted more than two days late. Homeworks are to be done individually (see Academic Integrity) and may involve a significant amount of programming, so start them early.
All lab assignments must be completed by the end of the lab session. Any exception will require proper excuse with permission granted before the end of the lab session. Partial credit may be given to incomplete work.
Any issues related to the machines in the computer labs can be sent to cslabs@cs.und.edu.
Upon request, the Computer Science Department will provide reasonable accommodations for students with disabilities as specified in the policies of the UND office of Disability Services for Students (DSS). You must contact your instructor to request and arrange accommodations.