A minicourse on multithreaded programming (original) (raw)
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A short unit to introduce multi-threaded programming
Journal of Computing Sciences in Colleges, 2009
We argue for the inclusion of concurrent programming in core courses of the computer science major and present a brief unit that quickly introduces some key concepts. * c CCSC, 2009. This is the author's version of the work. It is posted here by permission of CCSC for your personal use. Not for redistribution.
Practical parallel and concurrent programming
Proceedings of the 42nd ACM technical symposium on Computer science education - SIGCSE '11, 2011
Multicore computers are now the norm. Taking advantage of these multiple cores entails parallel and concurrent programming. There is therefore a pressing need for courses that teach effective programming on multicore architectures.
Mathematical foundations of Multithreaded programming concepts in Java language
The mathematical description of object oriented language has already been developed by Srivastav et al. The authors have already published papers where they have shown that it is possible to describe programming language such as C, Java using simple mathematical sets and relations. The authors have established that it is possible to describe object oriented language like Java and its various aspects such as object, class, inheritance using simple mathematical models. In the present study the authors have proposed the mathematical modeling of Multi threaded programming in java language. The authors have tried to explore the single threaded program and as well as multi threaded program using simple mathematical modeling. The same idea may be applied to C# language also Keyword-object oriented, modeling, multithreaded, java, C#
Abstract:-Parallel programming models, languages, and tools are the basic instruments for the design and implementation of high performance applications on scalable computer architectures composed of a collection of processors (multiprocessors or multicomputers). In the latest years several high-level languages and software tools have been designed for the programming of parallel software. This paper introduces and discusses the recent advances in the area of parallel and distributed programming tools and languages.
The study of distributed computing algorithms by multithread applications
The material in this note is used as an introduction to distributed algorithms in a four year course on software and automatic control system in the computer technology department of the Komsomolsk-on-Amur state technical university. All our the program examples are written in Borland C/C++ 5.02 for Windows 95/98/2000/NT/XP, and hence suit to compile and execute by Visual C/C++. We consider the following approaches of the distributed computing: the conversion of recursive algorithms to multithread applications, a realization of the pairing algorithm, the building of wave systems by Petri nets and object oriented programming.
How to Write Parallel Programs: A Guide to the Perplexed
ACM Computing Surveys (CSUR), 1989
We present a framework for parallel programming, based on three conceptual classes for understanding parallelism and three programming paradigms for implementing parallel programs. The conceptual classes are result parallelism, which centers on parallel computation of all elements in a ...
Chapter 2 Parallel Programming Considerations
The principal goal of this chapter is to introduce the common issues that a programmer faces when implementing a parallel application. The treatment assumes that the reader is familiar with programming a uniprocessor using a conventional language, such as Fortran. The principal challenge of parallel programming is to decompose the program into subcomponents that can be run in parallel. However, to understand some of the low-level issues of decomposition, the programmer must have a simple view of parallel machine architecture. Thus we begin our treatment with a discussion of this topic. This discussion, found in Section 2.2, focuses on two main parallel machine organizations — shared memory and distributed memory — that characterize most current machines. The section also treats clusters, which are hybrids of the two main memory designs. The standard parallel architectures support a variety of decomposition strategies, such as decomposition by task (task parallelism) and decompositio...
On the utility of threads for data parallel programming
Proceedings of the 9th international conference on Supercomputing - ICS '95, 1995
Threads provide a useful programming model for asynchronous behavior because of their ability to encapsulate units of work that can then be scheduled for execution at runtime, based on the dynamic state of a system. Recently, the threaded model has been applied to the domain of data parallel scientic codes, and initial reports indicate that the threaded model can produce performance gains over non-threaded approaches, primarily through the use of overlapping useful computation with communication latency. H o w ever, overlapping computation with communication is possible without the benet of threads if the communication system supports asynchronous primitives, and this comparison has not been made in previous papers. This paper provides a critical look at the utility of lightweight threads as applied to data parallel scientic programming.