High level Grid programming with ASSIST*

Aldinucci, Marco; Coppola, Massimo; Danelutto, Marco; Tonellotto, Nicola; Vanneschi, Marco; Zoccolo, Corrado

doi:10.12921/cmst.2006.12.01.21-32

Cited by 12 publications

(6 citation statements)

References 33 publications

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“…Modules can be sequential or parallel. Sequential modules can be written in C, C + +, or Fortran, while parallel modules are programmed with a special ASSIST parallel module ( parmod ) 69.…”

Section: Individualized Description Of Featuresmentioning

confidence: 99%

A survey of algorithmic skeleton frameworks: high‐level structured parallel programming enablers

2010

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Structured parallel programs ought to be conceived as two separate and complementary entities: computation, which expresses the calculations in a procedural manner, and coordination, which abstracts the interaction and communication. By abstracting commonly used patterns of parallel computation, communication, and interaction, algorithmic skeletons enable programmers to code algorithms without specifying platform‐dependent primitives. This article presents a literature review on algorithmic skeleton frameworks (ASKF), parallel software development environments furnishing a collection of parameterizable algorithmic skeletons, where the control flow, nesting, resource monitoring, and portability of the resulting parallel program is dictated by the ASKF as opposed to the programmer. Consequently, the ASKF can be positioned as high‐level structured parallel programming enablers, as their systematic utilization permits the abstract description of programs and fosters portability by focusing on the description of the algorithmic structure rather than on its detailed implementation. Copyright © 2010 John Wiley & Sons, Ltd.

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Section: Individualized Description Of Featuresmentioning

confidence: 99%

A survey of algorithmic skeleton frameworks: high‐level structured parallel programming enablers

2010

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“…To our knowledge, the only other skeleton framework providing file data transfer support is ASSIST [2]. ASSIST provides programmers with a structured coordination language, which can express arbitrary graphs of software modules written in C++, interconnected by streams of data.…”

Section: Related Workmentioning

confidence: 99%

“…Most of them could be enhanced with file data support by addressing file distribution aspects from inside muscles, as is the case with ASSIST [2]. Nevertheless, this strategy leads to the tangling of non-functional code (data distribution) with the functional code (business logic).…”

Section: Introductionmentioning

confidence: 99%

A transparent non-invasive file data model for algorithmic skeletons

Caromel

Leyton

2008

2008 IEEE International Symposium on Parallel and Distributed Processing

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A file data model for algorithmic skeletons is proposed, focusing on transparency and efficiency. Algorithmic skeletons correspond to a high-level programming model that takes advantage of nestable programming patterns to hide the complexity of parallel/distributed applications.Transparency is achieved using a workspace factory abstraction and the proxy pattern to intercept calls on File type objects. Thus allowing programmers to continue using their accustomed programming libraries, without having the burden of explicitly introducing non-functional code to deal with the distribution aspects of their data.A hybrid file fetching strategy is proposed (instead of lazy or eager), that takes advantage of annotated functions and pipelined multithreaded interpreters to transfer files in-advance or on-demand. Experimentally, using a BLAST skeleton application, it is shown that the hybrid strategy provides a good tradeoff between bandwidth usage and CPU idle time.

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“…By supporting a set of rules to determine the code class styles based on formula-like template properties, including new programming frameworks, language extensions, supported libraries, optimizing and autotuning compilers, parallel code will be generated automatically. Some of earlier systems include parallel code and skeleton frameworks based on a similar idea are eSkel [1], CO2P3S [3], P3L [7,8], SkeTo [9], DPnDP [11], and ASSIST [14] [15].…”

Section: Introductionmentioning

confidence: 99%

An Auto-Matching Model with Pattern Recognition Using Bayesian Classifier for Parallel Programming on A Multi-Core Processor

Wang¹,

Wang²,

Liao³

et al. 2014

JNW

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The emerging multi-core processor architecture has greatly escalated scientific computing, but, at the same time, made parallel programming increasingly complex and challenging. In this paper, the use of the Auto Parallel Classification (APC) model in an Object-Oriented Parallel Model (OOPModel) environment is demonstrated. A designed module provides a traversal and a reduction of the DAG task graph. The parallel characteristics vectors, which are analyzed according to Naive Bayesian classification theory, are critical parameters for matching and generating parallel design patterns and various skeletal frameworks. Through extensive experimentation, it is demonstrated, that by using the Map-Reduce pattern to develop a minimumsort algorithm, in conjunction with the APC model, we can achieve a reduction in the complexity of parallel programming and the minimization of errors. Most importantly, through scientific experimentation, this document will further demonstrate that correct computational results and movements toward linear speedup can be accomplished.

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High level Grid programming with ASSIST*

Cited by 12 publications

References 33 publications

A survey of algorithmic skeleton frameworks: high‐level structured parallel programming enablers

A survey of algorithmic skeleton frameworks: high‐level structured parallel programming enablers

A transparent non-invasive file data model for algorithmic skeletons

An Auto-Matching Model with Pattern Recognition Using Bayesian Classifier for Parallel Programming on A Multi-Core Processor

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