Heterogeneous Computing

Professor Libby Shoop, Macalester College
Sophors Khut, Macalester College

Initial Publication Date: October 25, 2012

Summary

This teaching module guides students through the process of building programs using a heterogeneous computing module on a cluster of computers that are themselves able to perform parallel computations. The examples show partial code for running MPI message passing on processes on machines in a cluster, each of which can then run a parallel task in CUDA using a GPU card.

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Learning Goals

Learning Goals:

Students will be able to build and run programs solving straightforward linear algebra techniques using a heterogeneous computing paradigm (MPI + CUDA) on a cluster of workstations.

Context for Use

This module can be taught in a C Programming Language based course or in a course in which students have had prior C Programming Language experience. Student with little or no knowledge of C Programming Language will find materials inside this module difficult to comprehend, and therefore adequate of C Programming Language background is mandatory.
It is designed for use as a lab.
Depending on curriculum, this module could be considered to be at an "intermediate" or "advanced" level.

Description and Teaching Materials

You can visit the module in your browser:
Heterogeneous Computing

or you can download the module in either PDF format, latex format, or Word formats.
PDF Format: Heterogeneous Computing.pdf.
Latex Format: Heterogeneous Computing.tar.gz.

Word Formats:

Heterogeneous Computing.docx.

Heterogeneous Computing.doc.