Parallel Algorithms (Univ. of Cambridge)
Material Type:
Lecture and Related Readings 
Technical Format:
HTML and .pdf files
Location :
Date added:
11/16/2009
Date Modified:
11/16/2009
Authors:
Dr. Robert Mullins, Computer Laboratory and St. John's College
University of Cambridge
Description:
This is the third in a series of seminars from “Chip Multiprocessors” course from Cambridge University. The aim of this seminar is to examine the principles of parallel algorithm design and the characteristics of common algorithms and applications.
Recommended Audience
Students with a basic understanding of algorithms and programming models.
Language:
English
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Parallel and Distributed Computing (East China University of Science and Technology )
Material Type:
Materials for Instructor-lead Course
Technical Format:
Syllabus, Course Description, Lab Examples, Case Studies and Solutions.
Location :
Go to Material Date added:
November 20, 2009
Date Modified:
November 20, 2009
Author: Jianhua LI, East China University of Science and Technology
Descriptions:
This is a traditional parallel & distributed computing course with updates for multi-core platforms. The course has been selected by China Ministry of Education in 2007-2008 as one of the "China Ministry of Education-Intel Quality Courseware" courses.
Recommended Audience
Senior undergraduate students
Language: Chinese
Metadata/descriptors: Parallel architecture, Parallel algorithms, Parallel numeric methods, Concurrent programming
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The Knight's Tour: A Concurrent Solution
Material Type:
Discussion, source code, results of experiment
Technical Format:
Discussion .doc; results .xls; C source code .htm Location :
Go to Material Date added:
November 9, 2009 Date Modified:
November 9, 2009 Author: Peter Hinsbeeck, Intel
Several years ago, an ex-colleague of the author returned from a job interview with an interesting story. He was given the option to choose from a short list of problems to solve in a given time period. One of them was the classic “Knight’s Tour” problem from the game of chess. Since then, the author often thought about how he might respond to such a job interview question, and, how easily his solution might parallelize.
This material includes the author’s approach to the problem; serial and parallelized versions of the code; and a spreadsheet that shows the timings obtained for each version.
Recommended Audience
Any programmer of a compiled language who has an interest in concurrency and problem solving in general, the Knight’s Tour puzzle in particular, or would like to examine a methodology for parallelizing serial code.
Language:
English
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Compilers Principles (China National University of Defense Technology)
Material Type:
Materials for Instructor-Lead Course
Technical Format:
Syllabus, Course Description, Lab Examples, Case Studies and Solutions in MS PowerPoint.
Location :
Go to Material Date added:
November 17, 2009
Date Modified:
November 17, 2009
Author: Prof. Huowang CHEN, National University of Defense Technology
Descriptions:
This class is the fundamental course of compilers design. It covers the basic architecture and design principles of compilers design, the development cycles and tools, regarding the latest standards. The course has been selected by China Ministry of Education in 2007-2008 as one of the "China Ministry of Education-Intel Quality Courseware" courses.
Recommended Audience
Senior undergraduate and graduate students
Language: Chinese
Metadata/descriptors: Compiler principles, Compiler design
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Parallel Algorithms(Carnegie Mellon University - Spring 2009)
Author:
Guy Blelloch, Carnegie Mellon University
Description:
In this course students will learn about parallel algorithms. The emphasis will be on algorithms that can be used on shared-memory parallel machines such as multicore architectures. The course will include both a theoretical component and a programming component. Topics to be covered include: modeling the cost of parallel algorithms, lower-bounds, and parallel algorithms for sorting, graphs, computational geometry, and string operations. The programming language component will include data-parallelism, threads, futures, scheduling, synchronization types, transactional memory, and message passing.
Type :
Modules for Instructor-lead course
Date added:
July, 2009
Date Modified:
July, 2009
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Parallelizing Bzip2: A Case Study in Multicore SE (U. of Karlsruhe)
Material Type:
Case Study/IEEE article
Technical Format:
PDF file
Location :
Date added:
10/28/2009
Date Modified:
11/13/2009
Authors:
Victor Pankratius, Ali Jannesari, and Walter F. Tichy, University of Karlsruhe
Description:
As multicore computers become mainstream and the demand for parallel software increases, software developers need to know which approaches to parallelism work. A case study in which four teams competitively parallelized the Bzip2 compression algorithm illustrates the difficulties that arise when working with a nonnumeric, real application. The sequential code needed significant restructuring before parallelization could begin; restructuring consumed most of the development time. Parallelization at a high level resulted in significant speedups. Low-level, inner-loop parallelizations performed poorly. The case study yielded several other lessons learned.
This article appeared in IEEE Software magazine, published by the IEEE Computer Society, November/December 2009 issue.
Recommended Audience
Undergraduate or graduate students interested in real-world examples of taking serial code and implementing it with parallelism
Language:
English
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Numeric Computing Methods and Software Implementation (China Dalian Polytechnic University )
Material Type:
Materials for Instructor-lead Course
Technical Format:
Syllabus, Course Description, Lab Examples, Case Studies and Solutions.
Location :
Go to Material Date added:
November 20, 2009
Date Modified:
November 20, 2009
Author: Yujie REN, Dalian Polytechnic University Descriptions:
This is a traditional numeric computing class taking advantage of multi-core computing platform. It teaches the numeric methods with software implementation. The course has been selected by China Ministry of Education in 2007-2008 as one of the "China Ministry of Education-Intel Quality Courseware" courses.
Recommended Audience
Senior undergraduate students
Language: Chinese
Metadata/descriptors: Numeric methods, Computing method
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Multicore Computers and Computer Clusters
Material Type:
University course, 18 total lectures
Technical Format:
PDF files
Location :
Date added:
10/28/2009
Date Modified:
11/3/2009
Authors:
Prof. Dr. Walter F. Tichy, Dr. Victor Pankratius, Ali Jannesari
1 - Introduction
2 – OpenMP
3 - Parallelität und Koordination in Java
4 - Das Java-Speichermodell (aktualisiert)
5 - Software Transactional Memory
6 - Netzwerk-Kenngrößen und -Topologien
7 - Netzwerke
8 - Optimierungstechniken für Hochgeschwindigkeitskommunikation
9 - Programmiermodelle
10 - MPI
11 - ZPL
12 - JavaParty
13 - Betriebssysteme
14 - Ablaufplanung (Scheduling)
15 - Parallele Algorithmen - Basistechniken
16 - Programmtransformationen: Vom PRAM Algorithmus zum MPI-Programm
17 - Parallele Algorithmen II
18 - Parallele Algorithmen III
Recommended Audience
Graduate Students (Informatik)
Language:
German
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Lecture on Parallel Programming
Material Type:
Tutorial & Lab Example, etc. Technical Format:
PDF presentation, code examples (.c, .tar)
Location :
Go to Material Date added:
November 3rd, 2009
Date Modified:
November 3rd, 2009
Author: Prof. Dr. Michael Gerndt, Associate Professor for Architecture of Parallel and Distributed Systems at Techniche Universität München
Description:
Introduction, Classification of parallel architectures- Shared memory programming with OpenMP
- Parallel programming
- Dependence analysis
- Automatic parallelization
- Message Passing Interface (MPI)
Recommended Audience
Graduate Students in Computational Science and Engineering
Language:
English
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Integrated Architecture and Tools (Intel)
Author:
Intel® Innovative Software Education
Description:
The module interleaves compiler and performance analyzer topics with essential architecture topics. General architecture topics include:
- Exploiting the architecture - taking advantage of: SSE how to get instructional parallelism in a single core
- Multi-core architecture: how to use OpenMP to get parallelism from multiple cores
- Program organization via cache utilization, efficient data structures and loop performance
Type :
Module for Instructor-lead course
Date added:
Apr 11, 2008
Date Modified:
May 20, 2009
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