CP400N Parallel Programming, WINTER 2013, WLU

Course Description

Parallel computers, or supercomputers or high-performance clusters are ubiquitous today in Science and Engineering. Parallel programming requires inventing new algorithms and programming techniques. This course will cover the fundamental paradigms of parallel programming, with an emphasis on problem solving and actual applications. The parallel programming concepts and algorithms will be illustrated via implementations in OpenMP and MPI (Message Passing Interface), as well as serial farming.

Important Course Information

Prerequisites

CP217 (proficiency in C)

Instructor

Dr. Ilias S. Kotsireas,  Office 2076A, Office Hours 24/7 and by appointment, Phone 884-0710 ext. 2218# E-Mail: ikotsireATwlu.ca

Course Topics

  1. Historical overview and evolution of parallel computing
  2. Fundamental concepts of parallelism
  3. Parallel computer memory architectures: shared memory, distributed memory, hybrid distributed-shared memory
  4. Parallel computer system architectures: Multi-Core, SMP, Clusters, Supercomputers, Flynn's Taxonomy
  5. Performance, Speedup, Scalability, Amdahl's law, Gustafson-Barsis's law, Karp-Flatt metric, Isoefficiency relation
  6. Load balancing: static, dynamic, termination detection
  7. Abstractions for parallel programming: Data Parallelism, Task Parallelism, Reduce and Scan, work assignment, Pipelining
  8. Programming paradigms for parallel computing: OpenMP, MPI, MapReduce/Google, Cilk, Cilk++, CUDA/GPU, Implicit Parallelism (Serial Farming)
  9. Applications: parallel sorting, parallel matrix-vector multiplication, parallel matrix multiplication, parallel searching, Floyd's algorithm, Sieve of Eratosthenes, Circuit Satisfiability

Class Schedule, Winter Semester Timetable

              |     Mon     |     Wed     |    
              |  2:30-3:50  |  2:30-3:50  |  
              |    N1042    |    N1042    |   
______________|_____________|_____________|__
              |             |             |             
Week 1:       |  Jan 07     |    Jan 09   |  
Week 2:       |  Jan 14     |    Jan 16   |  
Week 3:       |  Jan 21     |    Jan 23   |  
Week 4:       |  Jan 28     |    Jan 30   |  
Week 5:       |  Feb 04     |    Feb 06   |  
Week 6:       |  Feb 11     |    Feb 13   |  
______________|_____________|_____________|__
              |
Reading Week  | Feb 18-22  N o  C o u r s e s
______________|______________________________
              |             |             |
Week 7:       |  Feb 25     |   Feb 27    |
Week 8:       |  Mar 04     |   Mar 06    |  
Week 9:       |  Mar 11     |   Mar 13    |  
Week 10:      |  Mar 18     |   Mar 20    |  
Week 11:      |  Mar 25     |   Mar 27    |  
Week 12:      |  Apr 01     |   Apr 03    |  
______________|_____________|_____________|___
              |             |             |             

Course Requirements/Student Evaluation