Dr. Asim Karim
|Office Hours||Tue and Thu: 10.30AM-12.00|
Ali Naqi Shaheen
|Office/Lab:||Phd lab, Room 235 (outside CS wing)|
Tues and Thursday: 2.00PM-4.00PM
Solution for assignment 4 has been posted.
Solution for assignment 3 has been posted.
Assignment 4 has been posted. It is due by 5PM on November 8.
Lecture slides for OpenMP have been posted.
Solution for quiz 5 has been posted.
Lecture slides for sparse matrix algorithms have been posted.
Assignment 3 has been posted. It is due October 28.
Solution for assignment 2 has been posted. Please do go through it.
Solutions for quiz 4 have been posted.
Node0 to Node4 are up. Sorry for being late! Click here for a basic tutorial on LAM/MPI..
Lecture slides for week 6 have been posted.
The solution to the Midterm exam has been posted.
The project has been posted on the Assignments page. It is due Nov. 6 at class time.
The due date for assignment 2 has been changed to Oct 14. Also, a few corrections have been made to the assignment.
Solutions for assignment 1 and quiz 3 have been posted.
Assignment 2 has been posted!
Handouts for MPI, OpenMP and PThreads have been uploaded. Copies of these would be placed in the library as well. The Course Resources page has been updated.
Lecture slides for week 4 have been posted. Readings from text book: 2.1, 2.3 and 2.4 (to get an overview of interconnection networks), 2.7, chapter 4 with more emphasis on 4.1 and 4.3.
Solutions for quiz 2 have been posted.
Solutions to quiz 1 have been posted.
Parallel Computing Overview lecture slides have been uploaded. Minor changes/corrections have been made to Data Dependences and Data Locality slides (these changes will be discussed in class).
Assignment 1 has been posted!
Lectures slides for week two have been uploaded
Some resources for data locality and dependency analysis uploaded [You can find more material by doing a web search]
High-performance computer architecture, enhancement of performance on single and multi processor computers, parallelization overheads; performance evaluation.
After completing the course, the student can be expected to:
· understand the architecture of several types of high-performance computers and the implications on the performance of algorithms on these architectures.
· be able to design and implement efficient algorithms for high-performance computers.
· understand the current state-of-the art in parallel programming environments, portable software libraries and program development.
CS 223 Computer organization and assembly language, CS 213 Data structures and algorithms, Senior or higher standing; CS 423 Computer architecture (recommended)
Introduction to Parallel Computing: Design and Analysis of Algorithms, by V. Kumar, A. Grama, A. Gupta and G. Karypis, The Benjamin/Cummins Publishing Company, Inc., Redwood City, CA, 1994. Handouts will be provided to supplement the text.
Assignments (including programming): 25%
Mid-term exam: 25%
Final exam: 30%