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Parallel Computing

Summer Semester 2021

Armin Biere and Wolfgang Schreiner

News

First lecture March 9.

Overview

This course introduces basic techniques and models for parallel computing. We will discuss the basic theory, algorithms, programming models, and design principles for building parallel programs on multi-core processors, shared memory multiprocessors, and distributed memory multiprocessors respectively cluster systems. Class presentation will be accompanied by hands-on experience, e.g. on an SGI UV-1000 distributed shared memory multiprocessor.

Background in programming in C/C++ and Java is assumed. Course grades will be based on practical programming assignments.

The course will be given via Zoom meetings respectively video recordings available through Please refer to the moodle pages for more information.

Schedule

This is the preliminary schedule.

• March 9 (Schreiner): Parallel Architectures and Performance.
• March 16 (Biere): Parallel Algorithms and Complexity.
• March 23 (Schreiner): Concurrency in Java and OpenMP.
• April 13 (Biere): Shared Memory Programming, Lockless Data Structures.
• April 20 (Biere): Shared Memory Programming with Cilk, Lace, Work Stealing
• April 27 (Schreiner): Presentations of Solutions 1.
• May 11 (Schreiner): Message Passing Programming with MPI.
• May 18 (Biere): Shared Memory Programming with PThreads.
• June 1 (Biere): Presentation of Solutions 2.
• June 8 (Schreiner): Designing Parallel Programs.
• June 15 (Schreiner): Presentations of Solutions 3.
• June 29 (Biere): Presentation of Solutions 4.

Individual meetings will be organized for discussing the assignments.

Contents

This course introduces basic techniques and models for parallel computing.

Resources

Please refer to the moodle pages.