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Supporting high level programming with high performance: The Illinois Concert system

Supporting high level programming with high performance: The...

2nd International Workshop on High-Level Parallel Programming Models and Supportive Environments / 11th International Parallel Processing Symposium

作者： Chien, A Dolby, J Ganguly, B Karamcheti, V Zhang, XB Univ of Illinois Urbana United States

ISBN: (纸本)0818678836

Programmers of concurrent applications are faced with a complex performance space in which data distribution and concurrency management exacerbate the difficulty of building large, complex applications. To address these challenges, the Illinois Concert system provides a global namespace, implicit concurrency control and granularity management, implicit storage management, and object-oriented programming features. These features are embodied in a language ICC++ (derived from C++) which has been used to build a number of kernels and applications. As high level features can potentially incur overhead, the Concert system employs a range of compiler and runtime optimization techniques to efficiently support the high level programming model. The compiler techniques include type inference, inlining and specialization;and the runtime techniques include caching, prefetching and hybrid stack/heap multithreading. The effectiveness of these techniques permits the construction of complex parallel applications that are flexible, enabling convenient application modification or tuning. We present performance results for a number of application programs which attain good speedups and absolute performance.

关键词： concurrent languages concurrent object-oriented programming compiler optimization runtime systems object-oriented optimization

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Compiling almost-whole Java programs

Compiling almost-whole Java programs

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International Symposium on Computing in object oriented Parallel Environments

作者： Budimlic, Z Kennedy, K Rice Univ Ctr High Performance Software Res Houston TX 77005 USA

This paper presents a strategy, called almost-whole-program compilation, for extending the benefits of whole-program optimization to large collections of Java components that are,packaged as a group after the development phase. This strategy has been implemented in a framework that uses Java visibility and scoping rules to transform a collection of classes into a package that is amenable to whole-program optimizations, without precluding extensions to the optimized and compiled code. Thus, it enables the Java developer to balance performance against flexibility of the program after the development phase, without compromising the design process. The transformation is shown to incur only modest performance penalties, which are more than compensated for by the interprocedural optimizations it enables. The paper concludes with experimental results showing the benefits that can be achieved using this approach. Copyright (c) 2005 John Wiley & Sons, Ltd.

关键词： whole-program compilation almost whole-program compilation incremental compilation Java object-oriented optimization

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Evaluating high level parallel programming support for irregular applications in ICC++

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SOFTWARE-PRACTICE & EXPERIENCE 1998年第11期28卷 1213-1243页

作者： Chien, AA Dolby, J Gangul, B Karamcheti, V Zhang, XB Univ Illinois Dept Comp Sci Urbana IL 61801 USA NYU Dept Comp Sci New York NY USA

object-oriented techniques have been proffered as aids for managing complexity, enhancing reuse, and improving readability of irregular parallel applications. However, as performance is the major reason for employing parallelism, programmability and high performance must be delivered together. Using a suite of seven challenging irregular applications and the mature Illinois Concert system (a high-level concurrent object-oriented programming model) and an aggressive implementation (whole program compilation plus microsecond threading and communication primitives in the runtime), we evaluate what programming efforts are required to achieve high performance. For all seven applications, we achieve performance comparable to the best achievable via low-level programming means on large-stale parallel systems. In general, a high-level concurrent object-oriented programming model supported by aggressive implementation techniques can eliminate programmer management of many concerns - procedure and computation granularity, namespace management, and low-level concurrency management. Our study indicates that these concerns are fully automated for these applications. Decoupling these concerns makes managing the remaining fundamental concerns - data locality and load balance - much easier. In several cases, data locality and load balance for the complex algorithm and pointer data structures is automatically managed by the compiler and runtime, but in general programmer intervention was required. In a few cases, more detailed control is required, specifically explicit task priority, data consistency, and task placement. Our system integrates the expression of such information cleanly into the programming interface. Finally, only small changes to the sequential code were required to express concurrency and performance optimizations, less than 5 per cent of the source code lines were changed in all cases. This bodes well for supporting both sequential and parallel performance in a si

关键词： concurrent languages concurrent object-oriented programming compiler optimization runtime systems object-oriented optimization

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Compiling almost-whole Java programs

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CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2005年第5-6期17卷 573-587页

作者： Budimlic, Z Kennedy, K Rice Univ Ctr High Performance Software Res Houston TX 77005 USA

关键词： whole-program compilation almost whole-program compilation incremental compilation Java object-oriented optimization

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Evaluating high level parallel programming support for irregular applications in ICC++

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Software: Practice and Experience 1999年第11期28卷

作者： Andrew A. Chien Julian Dolby Bishwaroop Gangul Vijay Karamcheti Xingbin Zhang Department of Computer Science University of Illinois at Urbana-Champaign 1304 West Springfield Avenue Urbana IL 61801 U.S.A. Department of Computer Science New York University NY USA

object-oriented techniques have been proffered as aids for managing complexity, enhancing reuse, and improving readability of irregular parallel applications. However, as performance is the major reason for employing parallelism, programmability and high performance must be delivered together. Using a suite of seven challenging irregular applications and the mature Illinois Concert system (a high-level concurrent object-oriented programming model) and an aggressive implementation (whole program compilation plus microsecond threading and communication primitives in the runtime), we evaluate what programming efforts are required to achieve high performance. For all seven applications, we achieve performance comparable to the best achievable via low-level programming means on large-scale parallel systems. In general, a high-level concurrent object-oriented programming model supported by aggressive implementation techniques can eliminate programmer management of many concerns – procedure and computation granularity, namespace management, and low-level concurrency management. Our study indicates that these concerns are fully automated for these applications. Decoupling these concerns makes managing the remaining fundamental concerns – data locality and load balance – much easier. In several cases, data locality and load balance for the complex algorithm and pointer data structures is automatically managed by the compiler and runtime, but in general programmer intervention was required. In a few cases, more detailed control is required, specifically explicit task priority, data consistency, and task placement. Our system integrates the expression of such information cleanly into the programming interface. Finally, only small changes to the sequential code were required to express concurrency and performance optimizations, less than 5 per cent of the source code lines were changed in all cases. This bodes well for supporting both sequential and parallel performance in a si

关键词： concurrent languages concurrent object-oriented programming compiler optimization runtime systems object-oriented optimization

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