CSci6702Parallel Computing

Andrew Rau-Chaplinarc@cs.dal.ca

www.cs.dal.ca/~arc

Course Objectives Understand Parallel

Architectures Systems Algorithms

Learn how to Design efficient parallel algorithms,

and Implement them on parallel machines

Experience the “Research Process”

Official Outline This course explores various aspects of

parallel computing including parallel architectures, algorithms, systems, programming languages and implementation issues.

The focus is on solving real problems on existing parallel machines.

Student will be expected to read recent research publications, and participate in significant parallel implementation projects.

Unofficial Outline Clusters, stacks of commodity boxes, have

taken over the world of parallel computing. Learn how to take a stack of Pentium boxes

and a Linux  CD and build your own parallel machine. Now for the harder trick - learn how to design algorithms and systems that can take advantage of all those cycles.

Be ready to read algorithms papers, write tricky C and MPI code and learn to love your parallel debugger and profiler.

Resources Course web page:

www.cs.dal.ca/~arc/teaching/CSci6702

All notes, readings, assignments Parallel Machines

Available from ACENET

Assignments Assignments (40%)

1) Designing Parallel Algorithms 2) Programming

Clusters in MPI SMP machines in OpenMP

Seminar (20%) Seminar on recent research topic.

Groups of 2. Topics to be approved.

Research Project (40%) Select your own topic Algorithms, Systems, or Application topics Components: Literature review, some

research or programming work, final paper, presentation

Main Deliverable: Conference style paper plus short in-class talk

Groups of 1-2 See project description page Mini Conference Note: Papers must be done in LaTex!