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

Topics Introduction to Parallelism Parallel Programming Parallel Architectures Parallel Algorithms Parallel Applications Other Parallel Architectures &

Algorithms

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 complete significant parallel implementation projects.

Resources Course web page:

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

All notes, readings, assignments Parallel Machines

ACEnet

Prerequisites Knowledge of C CSci3110 - Analysis of Algorithms

Course Evaluation Assignments 40% Seminar 20% Project 30% Participation 10%

See course web page for assignment copies and due dates

Assignments Assignment 1: Intro to Parallel

Architectures and Algorithms Assignment 2: Shared memory

programming (Multicore + OpenMP) and Distributed memory programming (Clusters + MPI)

Seminar Prepare and deliver a hands-on tutorial on an HPC

topic. Possible topics: GPU programming in CUDA, Web-

scale applications on AWS, Vectorization using Vtune, Parallel programming in Java, Multicore programming in CILK, MapReduce and Hadoop.

In groups of 2-3 Deliverables: Tutorial materials organized

on a web page, plus in class seminar

Research Project 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

See project description page