Parallel Computing in the Computer Science Curriculum > Workshops > CCSC Midwest 2017 MPI Workshop

CCSC Midwest 2017 Workshop

Teaching Parallel and Distributed Computing with MPI

Friday, September 22, 2017

Instructors: Joel Adams (Calvin College), and Libby Shoop (Macalester College)

Abstract: CS 2013 brings parallelism into the CS curricular mainstream. The Message Passing Interface (MPI) is a platform independent, industry-standard library for parallel and distributed computing (PDC). The MPI standard includes support for C, C++, and Fortran; third parties have created implementations for Python and Java. This hands-on workshop introduces MPI basics using parallel patterns, including the single program multiple data (SPMD) execution, send-receive message passing, master-worker, parallel loop, and the broadcast, reduction, scatter, gather, and barrier patterns. Participants will explore 12 short programs designed to help students understand MPI basics, plus longer programs that use MPI to solve significant problems. The intended audience is CS educators who want to learn about how message passing can be used to teach PDC. No prior experience with PDC or MPI is required; familiarity with a C-family language and the command-line are helpful but not required. The workshop includes: (i) self-paced hands-on experimentation with the working MPI programs, and (ii) a discussion of how these may be used to achieve the goals of CS2013. Participants will learn how to compile and run MPI programs in a lab of Linux workstations.

Schedule

30 minutes 4:15-4:45 PM:

Introduction (Joel), 10 minutes

Slides: Teaching Distributed-Memory Parallel Concepts with MPI (Acrobat (PDF) 13.6MB Mar29 16)

Resource: How to build a cluster of NVidia Jetson TK1 boards

Using MPI in Calvin's Lab (Joel), 10 minutes

Handout: Getting started guide

Introduction to the MPI patternlets (Libby), 10 minutes

30 minutes 4:45-5:15:

Self-paced, hands-on exploration of MPI patternlets

Module: Patternlets in Parallel Programming

20 minutes 5:15- 5:35:

Introduction to MPI exemplars (Libby, Joel)

Video: Integration using trapezoidal rule, 1 process

Video:Integration using trapezoidal rule, 4 processes

Self-paced, hands-on exploration of MPI exemplars

Module: Distributed Computing Fundamentals

Module: Examples using Message Passing with MPI

5 minutes 5:35-5:40:

Discussion: Where to teach students about distributed computing parallelism? (Joel)

5 minutes 5:40-5:45:

Assessment

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