Research directions in high-level parallel programming languages Mont Saint-Michel, France, June 17-19, 1991 : proceedings

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Published by Springer-Verlag in Berlin, New York .

Written in English

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  • Parallel programming (Computer science) -- Congresses

Edition Notes

Book details

StatementJ.B. [i.e. J.P.] Banâtre, D. Le Métayer (eds.).
SeriesLecture notes in computer science ;, 574
ContributionsBanâtre, Jean-Pierre., Le Métayer, D.
LC ClassificationsQA76.642 .R47 1991
The Physical Object
Paginationviii, 387 p. :
Number of Pages387
ID Numbers
Open LibraryOL1565176M
ISBN 103540551603, 0387551603
LC Control Number91046952

Download Research directions in high-level parallel programming languages

This volume contains most of the papers presented at the workshop on research directions in high-level parallel programming languages, held at Mont Saint-Michel, France, in June The motivation for organizing this workshop came from the emergence of a new class of formalisms.

This volume contains most of the papers presented at the workshop on research directions in high-level parallel programming languages, held at Mont Saint-Michel, France, in June The motivation for organizing this workshop came from the emergence of a new class of formalisms for describing parallel computations in the last few years.

Functional programming is a radical, elegant, high-level attack on the programming problem. Radical, because it dramatically eschews side-effects; elegant, because of its close connection with mathematics; high-level, be­ cause you can say a lot in one line.

But functional Research directions in high-level parallel programming languages book is definitely not (yet) mainstream. This volume contains most of the papers presented at theworkshop on research directions in high-level parallelprogramming languages, held at Mont Saint-Michel, France, inJune Research Directions in High-Level Parallel Programming Languages Mont Saint-Michel, France.

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): This paper appeared in J.P. Banatre and D. Le M'etayer (eds), Research Directions in High-Level Parallel Programming Languages, Lecture Notes in Computer Science, noSpringer-Verlag,pp. \When someone says, ’I want a programming language in which I need only say what I wish done’, give him a lollipop." -Alan Perlis This book focuses on the use of algorithmic high-level synthesis (HLS) to build application-speci c FPGA systems.

Our goal is to give the. Section 6 highlights our major observations and lists challenges and future research directions. Related work was so far mainly focused on comparisons of few parallel programming languages Proceedings of the Fourth International Workshop on High-Level Parallel Programming and Applications, ACM (), pp./Author: Vasco Amaral, Research directions in high-level parallel programming languages book Norberto, Miguel Goulão, Marco Aldinucci, Siegfried Benkner, Andrea Bracciali.

Strategies and designs are described in detail to guide the reader in implementing a translator for a programming language.A simple high-level language, loosely based on C, is used to illustrate aspects of the compilation process.

This article lists concurrent and parallel programming languages, categorizing them by a defining paradigm. A concurrent programming language is defined as one which uses the concept of simultaneously executing processes or threads of execution as a means of structuring a program.

A parallel language is able to express programs that are executable on more than one processor. Both types are listed, as concurrency is a useful tool in expressing parallelism. Here are some pages that contain pointers to various parallel languages and to other research on parallel computing: Our list of research groups in parallel computation.

Hensa archive of parallel computing (special interest in transputers and Occam). Programming language research (CMU).

In this paper, the authors view their Linda parallel programming system [1] as a coordination language orthogonal to classical computational languages such as FORTRAN and C.

Coordination refers to the creation (but not specification) of computational activities and the Author: GelernterDavid, CarrieroNicholas. then discuss research directions that eliminate much of the concern about the memory model, but require rethinking popular parallel languages and hardware.

In particular, we argue that parallel lan-guages should not only promote high-level disciplined models, but they should also enforce the discipline. Further, for scalable and. The design of programming languages and software tools for parallel computers is essential for wide diffusion and efficient utilization of these novel architectures.

High-level languages decrease both the design time and the execution time of parallel applications, and make it easier for new users to approach parallel computers. Research. Parallel computing. Parallel programming models, languages, compilers, run-time systems, tools, libraries, algorithms (CRCW PRAM on a chip).

We developed a high-level parallel programming language, a compiler backend and system support for the REPLICA architecture. The complete project is described in my recent book. Designed to be used in an introductory course in parallel programming and covering basic and advanced concepts of parallel programming via ParC examples, the book combines a mixture of research directions, covering issues in parallel operating systems, and compilation techniques relevant for shared memory and multicore Springer-Verlag London.

Parallel Programming Languages for Collections Abstract The thesis discusses the design, expressive power, and implementation ofparallel programming languages for collections, the fragment dealing with collections of an object-oriented query language.

The Relational Algebra has a simple, intrinsic parallel semantics, which enabled the successful development of. Parallel Programming Using C++ describes fifteen parallel programming systems based on C++, the most popular object-oriented language of today.

These systems cover the whole spectrum of parallel programming paradigms, from data parallelism through dataflow and distributed shared memory to message-passing control Paperback.

Louis Mussat, Parallel Programming with Bags, Research Directions in High-Level Parallel Programming Languages, p, JunePeter Newton, James C. Browne, The CODE graphical parallel programming language, Proceedings of the 6th international conference on Supercomputing, p, July, Washington, D.

C Cited by: Research into compiler techniques for parallel languages. Synergy Parallel programming using passive object flow. Telegraphos High-speed communication for workstation clusters.

TreadMarks Global shared address space on networks of workstations. uC++ Light-weight concurrency in C++. UC A set-based data-parallel programming language.

programming languages guarantee determinacy automatically, because of the Church-Rosser property. Id is a high-level language-a functional programming language augmented with a determinate, parallel data-structur- ing mechanism called &structures.

I-structures are array-like data structures related to terms in logic programming lan. Do Leading Edge Research Parallel Programming Languages Provide Superior Performance. Project Description: In modern parallel computing one standard seems to dominate almost all High Performance parallel codes - this standard is MPI (the "Message Passing Interface").

As supercomputing resources continue to evolve a number of leading academic. Programming Parallel Computers 6/11/ 18 • Programming single-processor systems is (relatively) easy because they have a single thread of execution and a single address space.

• Programming shared memory systems can benefit from the single address space • Programming distributed memory systems is more difficult due to. Author(s) Summary. Research Directions in Computer Science celebrates the twenty-fifth anniversary of the founding of MIT's Project MAC.

It covers the full range of ongoing computer science research at the MIT Laboratory for Computer Science and the MIT Artificial Intelligence Laboratory, both of which grew out of the original Project MAC.

The Dryad and DryadLINQ systems offer a new programming model for large scale data-parallel computing. They generalize previous execution environments such as SQL and MapReduce in three ways: by providing a general-purpose distributed execution engine for data-parallel applications; by adopting an expressive data model of strongly objects; and by supporting general-purpose Cited by: Programming Language research at Yale emphasizes expressive, efficient, flexible, and reliable programming environments for future information, computation, and communication systems.

We approach this problem from several directions including language design, formal methods, compiler implementation, programming environments, and run-time systems. language methodology to data-parallel programming. Two embedded languages are presented, Obsidian for general purpose GPU programming and EmbArBB for data-parallel programming across platforms.

CPUs and GPUs get more parallel resources with each new generation. The ques-tion of how to efficiently program these processors arises. I suggest to use C (or C++) as high level language, and MPI and OpenMP as parallel libraries.

These languages are standard and portable, and these parallel libraries allow to apply parallel and distributed computing in a wide range of parallel systems (from a single-node.

In Research Directions in High-level Parallel Programming Languages, LNCS #, pp.Springer-Verlag, H. Cunningham and Y. Cai.

Specification and refinement of a message router. In Proceedings of the Seventh International Workshop on Software Specification and Design, pp. IEEE, December Greg's research interests include all aspects of concurrent programming. A long-term project has been the design and implementation of the SR programming language.

Current work focuses on the development of Filaments, a software package that provides efficient fine-grain parallelism on a variety of parallel by: Networks-on-Chip: From Implementations to Programming Paradigms provides a thorough and bottom-up exploration of the whole NoC design space in a coherent and uniform fashion, from low-level router, buffer and topology implementations, to routing and flow control schemes, to co-optimizations of NoC and high-level programming paradigms.

The programming languages with higher abstraction level, like the assembly language or the procedural languages (C, Pascal, etc.) cannot be understood by the processors (so they simply do not exist for the processors).

Programs (source codes) written in these languages must be translated into machine code, which is done by compilers. In this. While Fortran is the oldest high-level programming language, it is constantly improving. The most recent major revision of the standard, Fortranadded native support for parallel programming on shared-and distributed-memory architectures, and will be one of few languages used for next-generation exascale HPC $ We use cookies to offer you a better experience, personalize content, tailor advertising, provide social media features, and better understand the use of our services.

Concurrent Prolog brings together for the first time descriptions of the major concurrent logic programming languages proposed so far for future parallel computer systems. In particular, it describes the concurrent logic programming language Flat Concurrent Prolog, a comprehensive and radical approach to parallel computing that is based on a simple foundation.

After surveying recent research. ASurveyofParallel Programming Languages and Tools Doreen Report RND March NASA Ames Research Center M/S Moffett Field, CA Abstract This survey examines thirty-fiveparallel programming languages and fifty-nine par- Section presents parallel languages based on extending sequential by: Jun 27,  · Sometimes abbreviated as HLL, a high-level language is a computer programming language that isn't limited by the computer, designed for a specific job, and is easier to understand.

It is more like human language and less like machine language. However, for a computer to understand and run a program created with a high-level language, it must be compiled into machine language.

and various papers [9, 14, 18, 10]. Julia continues our research into parallel computing, with the most important lesson from our Star-P experience being that one cannot design a high performance parallel programming system without a programming language that works well sequentially.

Julia architecture and language design philosophyCited by: Parallel computing is a type of computation in which many calculations or the execution of processes are carried out simultaneously. Large problems can often be divided into smaller ones, which can then be solved at the same time.

There are several different forms of parallel computing: bit-level, instruction-level, data, and task parallelism. Room M, School of Computing Science, Sir Alwyn Williams Building, Glasgow, G12 8RZ, G12 8RZ.

follow on Twitter. Back to the top. The programming languages research group at Cornell includes eight faculty and over two dozen Ph.D. students. We are proud of both our breadth and depth in this core discipline. Cornell has been known from the beginning for its research in programming languages.The University of Glasgow is a registered Scottish charity: Registration Number SC School of Computing Science.

Contact us; Sitemap; Legal. Accessibility statement; Freedom.Research directions in this topic are (1) to study a theory of program transformation used in optimizing naively composed GTA programs, (2) to implement active libraries to provide the GTA programming to various programming languages, and (3) to solve application problems by using the GTA framework.

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