A Proposal for OpenMP for Java

Klemm, Michael; Veldema, Ronald; Bezold, Matthias; Philippsen, Michæl

doi:10.1007/978-3-540-68555-5_33

Cited by 9 publications

(8 citation statements)

References 11 publications

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“…However, it is cumbersome to develop parallel applications with Java threads as it generates more verbose programs than an OpenMP-like implementation would generate (as it was shown in section 2). Several authors [1] [7] proposed extensions to Java to support OpenMP. Some approaches explore Java 5 annotations introducing an alternative to traditional OpenMP directives.…”

Section: B Aspect-oriented Programmingmentioning

confidence: 99%

AOmpLib: An Aspect Library for Large-Scale Multi-core Parallel Programming

Medeiros

Sobral

2013

2013 42nd International Conference on Parallel Processing

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This paper introduces an aspect-oriented library aimed to support efficient execution of Java applications on multi-core systems. The library is coded in AspectJ and provides a set of parallel programming abstractions that mimics the OpenMP standard. The library supports the migration of sequential Java codes to multi-core machines with minor changes to the base code, intrinsically supports the sequential semantics of OpenMP and provides improved integration with object-oriented mechanisms. The aspectoriented nature of library enables the encapsulation of parallelism-related code into well-defined modules. The approach makes the parallelisation and the maintenance of large-scale Java applications more manageable. Furthermore, the library can be used with plain Java annotations and can be easily extended with applicationspecific mechanisms in order to tune application performance. The library has a competitive performance, in comparison with traditional parallel programming in Java, and enhances programmability, since it allows an independent development of parallelism-related code.

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Section: B Aspect-oriented Programmingmentioning

confidence: 99%

AOmpLib: An Aspect Library for Large-Scale Multi-core Parallel Programming

Medeiros

Sobral

2013

2013 42nd International Conference on Parallel Processing

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“…OpenMP/Java [8], JCilk [2], and TBB [6] support exception handling by setting an internal flag. OpenMP/Java and JCilk check this flag at cancellation points, terminate parallel execution, and rethrow exceptions to the sequential code.…”

Section: Other Concurrent Programming Error Handling Modelsmentioning

confidence: 99%

Towards an Error Model for OpenMP

Wong

Klemm²,

Durán

et al. 2010

Beyond Loop Level Parallelism in OpenMP: Accelerators, Tasking and More

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Abstract. OpenMP lacks essential features for developing mission-critical software. In particular, it has no support for detecting and handling errors or even a concept of them. In this paper, the OpenMP Error Model Subcommittee reports on solutions under consideration for this major omission. We identify issues with the current OpenMP specification and propose a path to extend OpenMP with error-handling capabilities. We add a construct that cleanly shuts down parallel regions as a first step. We then discuss two orthogonal proposals that extend OpenMP with features to handle system-level and user-defined errors.

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“…One signature of the function returns the identity element while a second signature implements the actual reduction operator. OpenMP/Java [10] extends OpenMP with a Reducer interface to define UDRs. Similarly to ZPL, the interface requires separate methods to return the identity and to reduce two values.…”

Section: Related Workmentioning

confidence: 99%

A Proposal for User-Defined Reductions in OpenMP

Durán

Ferrer

Klemm

et al. 2010

Beyond Loop Level Parallelism in OpenMP: Accelerators, Tasking and More

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Abstract. Reductions are commonly used in parallel programs to produce a global result from partial results computed in parallel. Currently, OpenMP only supports reductions for primitive data types and a limited set of base language operators. This is a significant limitation for those applications that employ userdefined data types (e. g., objects). Implementing manual reduction algorithms makes software development more complex and error-prone. Additionally, an OpenMP runtime system cannot optimize a manual reduction algorithm in ways typically applied to reductions on primitive types. In this paper, we propose new mechanisms to allow the use of most pre-existing binary functions on userdefined data types as User-Defined Reduction (UDR) operators. Our measurements show that our UDR prototype implementation provides consistently good performance across a range of thread counts without increasing general runtime overheads.

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A Proposal for OpenMP for Java

Cited by 9 publications

References 11 publications

AOmpLib: An Aspect Library for Large-Scale Multi-core Parallel Programming

AOmpLib: An Aspect Library for Large-Scale Multi-core Parallel Programming

Towards an Error Model for OpenMP

A Proposal for User-Defined Reductions in OpenMP

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