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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...

引用

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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Automatic parallelization of the AVL FIRE benchmark for a distributed-memory system 2nd

Automatic parallelization of the AVL FIRE benchmark for a di...

引用

2nd International Workshop on Applied parallel Computing in Computations in Physics, Chemistry and Engineering Science, PARA 1995

作者： Brezany, Peter Sipkova, Viera Chapman, Barbara Greimel, Robert Institute for Software Technology and Parallel Systems Austria European Centre for Parallel Computing at Vienna University of Vienna Liechtensteinstrasse 22 ViennaA-1092 Austria AVL List GmbH Kleiststrasse 48 GrazA-8020 Austria

ISBN: (纸本)3540609024

Computational fluid dynamics (CFD) is a Grand Challenge discipline whose typical application areas, like aerospace and automotive engineering, often require enormous amount of computations. parallel processing offers very high performance potential, but irregular problems like CFD have proven difficult to map onto parallel machines. In such codes, access patterns to major data arrays are dependent on some runtime data, therefore runtime preprocessing must be applied on critical code segments. So, automatic parallelization of irregular codes is a challenging problem. In this paper we describe parallelizing techniques we have developed for processing irregular codes that include irregularly distributed data structures. These techniques have been fully implemented within the Vienna Fortran Compilation System. We have examined the AVL FIRE benchmark solver GCCG, to evaluate the influence of different kinds of data distributions on parallel-program execution time. Experiments were performed using the Tjunc dataset on the iPSC/860. © Springer-Verlag Berlin Heidelberg 1996.

关键词： Computational fluid dynamics

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Program comprehension support for knowledge-based parallelization 4

Program comprehension support for knowledge-based paralleliz...

引用

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

引用

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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Buffer-safe communication optimization based on data flow analysis and performance prediction

Buffer-safe communication optimization based on data flow an...

引用

International Conference on parallel Architecture and Compilation Techniques (PACT)

作者： T. Fahringer E. Mehofer Institute for Software Technology and Parallel Systems University of Technology Vienna Vienna Austria

The paper presents a novel approach to reduce communication costs of programs for distributed memory machines. The techniques are based on uni-directional bit-vector data flow analysis that enable vectorizing and coalescing communication, overlapping communication with computation, eliminating redundant messages and amount of data being transferred both within and across loop nests. The data flow analysis differs from previous techniques that it does not require to explicitly model balanced communication placement and loops and does not employ interval analysis. The techniques are based on simple yet highly effective data flow equations which are solved iteratively for arbitrary control flow graphs. Moving communication earlier to hide latency has been shown to dramatically increase communication buffer sizes and can even cause run-time errors. The authors use P/sup 3/T, a state-of-the-art performance estimator to create a buffer-safe program. By accurately estimating both the communication buffer sizes required and the implied communication times of every single communication of a program one can selectively choose communication that must be delayed in order to ensure a correct communication placement while maximizing communication latency hiding. Experimental results are presented to prove the efficacy of the communication optimization strategy.

关键词： Data analysis Performance analysis Algorithm design and analysis Flow graphs Equations Communication system control Delay estimation software performance Costs Memory architecture

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Supercompilers for massively parallel architectures

Supercompilers for massively parallel architectures

引用

Aizu International Symposium on parallel Algorithms/Architecture Synthesis

作者： B. Chapman M. Pantano H. Zima Institute for Software Technology and Parallel Systems University of Technology Vienna Vienna Austria

We describe the design of a compilation system, which translates Fortran programs automatically into explicitly parallel programs for a massively parallel architecture. Such a compiler must automatically generate data distributions and derive program transformation strategies based on a combination of heuristics and analysis features. Programs are subjected to an iterative tuning process, involving three major components: a restructuring system, a performance analysts subsystem, and a parallelization support environment. Many of the components in this environment have already been implemented in the framework of the Vienna Fortran compilation system.< >

关键词： parallel architectures Message passing Program processors Application software Europe Radio access networks High power fiber lasers Peak to average power ratio Performance analysis Concurrent computing

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Toward symbolic performance prediction of parallel programs

Toward symbolic performance prediction of parallel programs

引用

International Symposium on parallel Processing

作者： T. Fahringer Institute for Software Technology and Parallel Systems University of Technology Vienna Vienna Austria

Critical analyses in performance estimators for parallel programs require an algorithm that count the number of integer solutions to a set of inequalities. Most current performance estimators are restricted to linear inequalities for this analysis. In this paper we describe a symbolic algorithm which can estimate the number of integer solutions to a set of both linear and non-linear inequalities. The result is either an integer value or a symbolic expression depending on whether the inequalities contain non-loop variables. We have implemented this algorithm and use it as part of P/sup 3/T, a performance estimator for data parallel programs. We demonstrate the usefulness of this algorithm by predicting the work load of all processors for a parallel program and compare it to measurements taken on an iPSC/860 hypercube system.

关键词： Performance analysis Algorithm design and analysis Prediction algorithms Hypercubes

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PatrolGo: Efficient Security Patrol Route Planning to Catch Intruders 3

PatrolGo: Efficient Security Patrol Route Planning to Catch ...

引用

3rd IEEE International Conference on Digital Twins and parallel Intelligence, DTPI 2023

作者： Han, Jinpeng Chen, Xiaoguang Yang, Manzhi Huai, Rouxing Xi'an Jiaotong University School of Software Engineering Xi'an China Macau University of Science and Technology Macau Institute of Systems Engineering China Huairou Academy of Parallel Sensing Beijing China

ISBN: (纸本)9798350318470

Solving security patrol route planning in large-scale realistic scenarios is a very challenging problem. Here we propose a route planning algorithm PatrolGo based on Monte Carlo Tree Search (MCTS). In this algorithm, the strategy network selects the actions of security resources, and the situation network evaluates the current situation. These deep neural networks are training from the confrontation between PatrolGo and the attacker model. We assume that the attacker and the defender act alternately, and the attacker model is fixed. Specifically, we first apply MCTS to the grid security game scenario. Furthermore, we added the deep neural network to the MCTS algorithm to enhance its efficiency in selecting and evaluating stages. Finally, the PatrolGo algorithm tree search process can provide prescriptive security resources action. We provide a new scheme for security patrol route planning. The simulation results show that the scheme has state-of-the-art performance and effective strategic prescript. © 2023 IEEE.

关键词： Deep neural networks

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Performance evaluation of allgather algorithms on terascale Linux cluster with Fast Ethernet

Performance evaluation of allgather algorithms on terascale ...

引用

8th International Conference on High-Performance Computing in Asia-Pacific Region

作者： Chen, Jing Zhang, Linbo Zhang, Yunquan Yuan, Wei Department of Computer Science University of Science and Technology of China China Lab. of Parallel Computing Institute of Software CAS China State Key Laboratory of Computer Science China Academy of Mathematics and Systems Sciences CAS China

ISBN: (纸本)0769524869

We report our work on evaluating performance of several MPI Allgather algorithms on Fast Ethernet. These algorithms are ring, recursive doubling, Bruck, and neighbor exchange. The first three algorithms are widely used today. The neighbor exchange algorithm which was recently proposed by the authors incorporates pair-wise exchange, and is expected to perform better with certain configurations, mainly when using TCP/IP over Ethernet. We tested the four algorithms on terascale Linux clusters DeepComp 6800 and DAWNING 4000A using TCP/IP over Fast Ethernet. Results show that our neighbor exchange algorithm performs the best for long messages, the ring algorithm performs the best for medium-size messages and the recursive doubling algorithm performs the best for short messages.

关键词： Computer networks

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High-level languages for parallel scientific computing 22nd

High-level languages for parallel scientific computing

引用

22nd International Seminar on Current Trends in Theory and Practice of Informatics, SOFSEM 1995

作者： Chapman, Barbara Mehrotra, Piyush Zima, Hans Institute for Software Technology and Parallel Systems University of Vienna Liechtensteinstr. 22 ViennaA-1090 Austria ICASE MS 132C NASA Langley Research Center HamptonVA23681 United States

ISBN: (纸本)3540606092

Highly parallel scalable multiprocessing systems are powerful tools for solving large-scale scientific and engineering problems. Languages such as Vienna Fortran and High Performance Fortran (HPF) have been introduced to allow the programming of these machines at a relatively high level of abstraction, based on the data-parallel Single- Program-Multiple-Data (SPMD) model. Their main features focus on the distribution of data across the processors of a machine. In this paper, we outline the state-of-the-art in this area and provide a detailed description of HPF. A significant weakness of current HPF is its lack of support for many advanced applications, which require irregular data distributions, dynamic load balancing, or task parallelism. We introduce HPF+, an extension of HPF based on Vienna Fortran, that addresses these problems and provides the required functionality. © Springer-Verlag Berlin Heidelberg 1995.

关键词： FORTRAN (programming language)

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