HPC the easy way: new technologies for high performance application development and deployment

Danelutto, Marco

doi:10.1016/j.sysarc.2003.06.001

Cited by 7 publications

(4 citation statements)

References 34 publications

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“…It is arguable that the different techniques used to implement algorithmic skeleton frameworks are suitable to support implementations targeting heterogeneous multicore architectures. While algorithmic skeletons (and indeed parallel patterns in general) cannot be used to produce all parallel and distributed programs, there is a growing number of important applications [19,55]. A number of recent and highly successful "programming models" such as the well-known Google MapReduce also derive and inherit from algorithmic skeletons [13].…”

Section: Related Workmentioning

confidence: 99%

The ParaPhrase Project: Parallel Patterns for Adaptive Heterogeneous Multicore Systems

Hammond

Aldinucci²,

Brown

et al. 2013

Formal Methods for Components and Objects

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Abstract. This paper describes the ParaPhrase project, a new 3-year targeted research project funded under EU Framework 7 Objective 3.4 (Computer Systems), starting in October 2011. ParaPhrase aims to follow a new approach to introducing parallelism using advanced refactoring techniques coupled with high-level parallel design patterns. The refactoring approach will use these design patterns to restructure programs defined as networks of software components into other forms that are more suited to parallel execution. The programmer will be aided by high-level cost information that will be integrated into the refactoring tools. The implementation of these patterns will then use a wellunderstood algorithmic skeleton approach to achieve good parallelism.A key ParaPhrase design goal is that parallel components are intended to match heterogeneous architectures, defined in terms of CPU/GPU combinations, for example. In order to achieve this, the ParaPhrase approach will map components at link time to the available hardware, and will then re-map them during program execution, taking account of multiple applications, changes in hardware resource availability, the desire to reduce communication costs etc. In this way, we aim to develop a new approach to programming that will be able to produce software that can adapt to dynamic changes in the system environment. Moreover, by using a strong component basis for parallelism, we can achieve potentially significant gains in terms of reducing sharing at a high level of abstraction, and so in reducing or even eliminating the costs that are usually associated with cache management, locking, and synchronisation.

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Section: Related Workmentioning

confidence: 99%

The ParaPhrase Project: Parallel Patterns for Adaptive Heterogeneous Multicore Systems

Hammond

Aldinucci²,

Brown

et al. 2013

Formal Methods for Components and Objects

View full text Add to dashboard Cite

show abstract

“…Arguably, the most representative are patterns, templates, and components. Early comparative studies can be found in 148, 149.…”

Section: Related Approachesmentioning

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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“…Danelutto and Skillicorn et al give good overviews of current parallel programming techniques and requirements for parallel programming frameworks [45,111].…”

Section: Parallel Programmingmentioning

confidence: 99%

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HPC the easy way: new technologies for high performance application development and deployment

Cited by 7 publications

References 34 publications

The ParaPhrase Project: Parallel Patterns for Adaptive Heterogeneous Multicore Systems

The ParaPhrase Project: Parallel Patterns for Adaptive Heterogeneous Multicore Systems

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

Streaming Applications

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