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On the implementation of the Opus coordination language

Concurrency and Computation: Practice and Experience 2000年第4期12卷

作者： Erwin Laure Matthew Haines Piyush Mehrotra Hans Zima Institute for Software Technology and Parallel Systems University of Vienna Liechtensteinstrasse 22 A-1090 Vienna Austria Department of Computer Science University of Wyoming Laramie WY 82071-3682 U.S.A. Institute for Computer Applications in Science and Engineering NASA Langley Research Center Mail Stop 132C Hampton VA 23681-0001 U.S.A.

Opus is a new programming language designed to assist in coordinating the execution of multiple, independent program modules. With the help of Opus, coarse grained task parallelism between data parallel modules can be expressed in a clean and structured way. In this paper we address the problems of how to build a compilation and runtime support system that can efficiently implement the Opus constructs. Our design considers the often-conflicting goals of efficiency and modular construction through software re-use. In particular, we present the system requirements for an efficient Opus implementation, the Opus runtime system, and describe how they work together to provide the underlying services that the Opus compiler needs for a broad class of machines. Copyright © 2000 John Wiley & Sons, Ltd.

关键词： Opus task parallelism data parallelism coordination

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SCALA: A framework for performance evaluation of scalable computing 13th

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13th International parallel Processing Symposium, IPPS 1999 Held in Conjunction with the 10th Symposium on parallel and Distributed Processing, SPDP 1999

作者： Sun, Xian-He Pantano, Mario Fahringer, Thomas Zhan, Zhaohua Department of Computer Science Louisiana State University LA70803-4020 United States Department of Computer Science University of Illinois UrbanaIL61801 United States Institute for Software Technology and Parallel Systems University of Vienna Liechtensteinstr. 22 Vienna1090 Austria

ISBN: (纸本)3540658319

Conventional performance environments are based on profiling and event instrumentation. It becomes problematic as parallel systems scale to hundreds of nodes and beyond. A framework of developing an integrated performance modeling and prediction system, SCA Lability Analyzer (SCALA), is presented in this study. In contrast to existing performance tools, the program performance model generated by SCALA is based on scalability analysis. SCALA assumes the availability of modern compiler technology, adopts statistical methodologies, and has the support of browser interface. These technologies, together with a new approach of scalability analysis, enable SCALA to provide the user with a higher and more intuitive level of performance analysis. A prototype SCALA system has been implemented. Initial experimental results show that SCALA is unique in its ability of revealing the scaling properties of a computing system. © Springer-Verlag Berlin Heidelberg 1999.

关键词： Scalability

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Language and compiler support for out-of-core irregular applications on distributed-memory multiprocessors

Language and compiler support for out-of-core irregular appl...

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4th International Workshop on Languages, Compilers, and Run-Time systems for Scalable Computers, LCR 1998

作者： Brezany, Peter Choudhary, Alok Dang, Minh Institute for Software Technology and Parallel Systems University of Vienna Liechtensteinstrasse 22 A-1090 Vienna Austria ECE Department Northwestern University Evanston United States

ISBN: (纸本)3540651721

Current virtual memory systems provided for scalable computer systems typically offer poor performance for scientiFIc applications when an application's working data set does not fit in main memory. As a result, programmers who wish to solve "out-of-core" problems efficiently typically write a separate version of the parallel program with explicit I/O operations. This task is onerous and extremely dificult if the application includes indirect data references. A promising approach is to develop a language support and a compiler system on top of an advanced runtime system which can automatically transform an appro- priate in-core program to eficiently operate on out-of-core data. This approach is presented in this paper. Our proposals are discussed in the context of HPF and its compilation environment. © Springer-Verlag Berlin Heidelberg 1998.

关键词： Program compilers

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Multiple data parallelism with HPF and KeLP

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International Conference and Exhibition on High-Performance Computing and Networking, HPCN 1998

作者： Merlin, John H. Baden, Scott B. Fink, Stephen J. Chapman, Barbara M. VCPC Institute for Software Technology and Parallel Systems University of Vienna Liechtensteinstr. 22 ViennaA-1090 Austria Department of Computer Science and Engineering University of California San Diego La JollaCA92093-0114 United States

ISBN: (纸本)3540644431

High Performance Fortran (HPF) is an effective language for implementing regular data parallel applications on distributed memory architectures, but it is not well suited to irregular, block-structured applications such as multiblock and adaptive mesh methods. A solution to this problem is to use a non-HPF SPMD program to coordinate multiple concurrent HPF tasks, each operating on a regular subgrid of an irregular data domain. To this end we have developed an interface between the C++ class library KELP, which supports irregular, dynamic block-structured applications on distributed systems, and an HPF compiler, SHPF. This allows KeLP to handle the data layout and inter-block communications, and to invoke HPF concurrently on each block. There are a number of advantages to this approach: it combines the strengths of both KeLP and HPF;it is relatively easy to implement;and it involves no extensions to HPF or HPF compilers. This paper describes the KeLP-HPF implementation and programming model, and shows an example KeLP-HPF multiblock solver. © Springer-Verlag Berlin Heidelberg 1998.

关键词： Memory architecture

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Performance range comparison for restructuring compilation

Performance range comparison for restructuring compilation

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International Conference on parallel Processing (ICPP)

作者： Xian-He Sun M. Pantano T. Fahringer Department of Computer Science Louisiana State University Baton Rouge LA USA Institute for Software Technology and Parallel Systems University of Technology Vienna Vienna Austria

A major difficulty in restructuring compilation is how to compare parallel performance over a range of system and problem sizes. This study introduces the concept of range comparison for data-parallel programming. Unlike conventional execution time comparison in which performance is compared for a particular system and problem size, range comparison compares the performance of programs over a range of ensemble and problem sizes via scalability and performance crossing point analysis. An algorithm is developed to predict the crossing point automatically. The correctness of the algorithm is proved and a methodology is developed to integrate range comparison into restructuring compilations. A preliminary prototype of the methodology is implemented and tested under Vienna Fortran Compilation System. Experimental results demonstrate that range comparison is feasible and effective.

关键词： Scalability Performance analysis Prototypes Iterative algorithms Sun Computer science software performance System testing Multiprocessing systems Message passing

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Systematic strategy for performance prediction in improvement of parallel programs 4th

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4th International Workshop on Computer Aided systems Theory, CAST 1994

作者： Blasko, Roman Department of Software Technology and Parallel Systems University of Vienna Liechtensteinstrasse 22 ViennaA-1090 Austria

ISBN: (纸本)3540614788

Second-generation supercompilers should comprise performance analysis tools for creating an information feed-back to improve parallel programs. We have developed a technique and performance analysis tool, PEPSY, embedded in our supercompiler, which is based on automatic generation of the abstract model of the parallel program and performance analysis using a simulation technique. Real application programs might consist of a number of procedures calling one another and creating a complex call structure. We have designed a systematic strategy for analysis of the call structure, which significantly reduces the total time necessary for the performance prediction of the whole program. © Springer-Verlag Berlin Heidelberg 1996.

关键词： Application programs

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Program comprehension support for knowledge-based parallelization 4

Program comprehension support for knowledge-based paralleliz...

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4th Euromicro Workshop on parallel and Distributed Processing, PDP 1996

作者： Andel, S. Di Martino, B. Hulman, J. Zima, H.P. Institute for Software Technology and Parallel Systems University of Vienna Liechtensteinstr. 22 ViennaA-1090 Austria Department of Computer Science and Systems University federico II via Claudio 21 Naples80124 Italy

ISBN: (纸本)0818673761

Current compilation systems for distributed memory computers have to integrate new techniques to support the highly complex task of producing efficient programs for parallel systems. Two techniques, program comprehension and expert systems, although developed outside the scope of parallelization domain, are extremely useful to improve the quality of the parallel code generated and to make the parallelization process more convenient and automatic. We describe a parallelization environment consisting of three main components: Vienna Fortran Compilation System (VFCS), a tool for recognition of parallelizable Algorithmic Patterns (PAP Recognizer), and a knowledge based parallelization support tool (Expert Adviser). After these main components are introduced, the paper focuses on integration issues of PAP Recognizer and Expert Adviser within the framework of VFCS. We outline the salient features of a new parallelization environment. The design of the XPA knowledge base for recognized program concepts (patterns) as presented, and the methodology of knowledge acquisition for program patterns is outlined. © 1996 IEEE.

关键词： Expert systems

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A software architecture for massively parallel input-output 3rd

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3rd International Workshop on Applied parallel Computing in Industrial Problems and Optimization, PARA 1996

作者： Brezany, Peter Mueck, Thomas A. Schikuta, Erich University of Vienna Institute for Software Technology and Parallel Systems Liechtensteinstr. 22 ViennaA-1092 Austria Department of Data Engineering Rathansstrasse 19/4 ViennaA-1010 Austria

ISBN: (纸本)3540620958

For an increasing number of data intensive scientific applications, parallel I/O concepts are a major performance issue. Tackling this issue, we provide an outline of an input/output system designed for highly efficient, scalable and conveniently usable parallel I/O on distributed memory systems. The main focus of this paper is the parallel I/O runtime system support provided for software-generated programs produced by parallelizing compilers in the context of High Performance FORTRAN efforts. Specifically, our design is presented in the context of the Vienna Fortran Compilation System. © Springer-Verlag Berlin Heidelberg 1996.

关键词： Program compilers

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Simulation based performance prediction by Pepsy 28

Simulation based performance prediction by Pepsy

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28th Annual Simulation Symposium, ANSS 1995

作者： Blasko, Roman Department of Software Technology and Parallel Systems University of Vienna Briinner Str. 72 ViennaA-1210 Austria

ISBN: (纸本)0818670916

parallel programs, generated by the supercompiler, VFCS (Vienna Fortran Compilation System), are an application area for the tool, PEPSY (PErformance Prediction System), which we have developed recently. PEPSY derives a performance model from an internal representation of the parallel program in the compiler, automatically, and makes performance analysis by discrete-event simulation. Several monitoring modes of PEPSY enable to analyze a parallel program behavior at the detailed and global level, evaluating static and dynamic performance indices. Performance prediction is cam'ed out before the final target parallel code is generated, or before a real run is executed on the parallel computer, in order to optimize the parallelization strategy for VFCS. This paper as focused on the prediction of a new subset of performance indices for the parallel programs, evaluated by PEPSY, and illustrating its new monitoring facilities suitable for comparison of different versions of the program. © 1995IEEE

关键词： Discrete event simulation

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Simulation based performance prediction by PEPSY

Simulation based performance prediction by PEPSY

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Annual Symposium on Simulation

作者： R. Blasko Department of Software Technology and Parallel Systems University of Technology Vienna Vienna Austria

parallel programs, generated by the supercompiler, VFCS (Vienna Fortran Compilation System), are an application area for the tool, PEPSY (PErformance Prediction SYstem), which we have developed recently. PEPSY derives a performance model from an internal representation of the parallel program in the compiler, automatically, and makes performance analysis by discrete-event simulation. Several monitoring modes of PEPSY enable to analyze a parallel program behavior at the detailed and global level, evaluating static and dynamic performance indices. Performance prediction is carried out before the final target parallel code is generated, or before a real run is executed on the parallel computer, in order to optimize the parallelization strategy for VPCS. This paper is focused on the prediction of a new subset of performance indices for the parallel programs, evaluated by PEPSY, and illustrating its new monitoring facilities suitable for comparison of different versions of the program.< >

关键词： Predictive models Performance analysis Computerized monitoring Concurrent computing Distributed computing parallel programming software performance software tools Electronic mail Application software

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