Implementation Skeletons in Eden: Low-Effort Parallel Programming

Klusik, Ulrike; Loogen, Rita; Priebe, Stefan; Rubio, Fernando

doi:10.1007/3-540-45361-x_5

Cited by 32 publications

(24 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Discrete model development on MDA approach based on creation an appropriate extension of UML 2.0 language [23] for a specific area of formal modeling -for example, distributed parallel computing problem of oil production. Moreover, a formal description of interfaces on MDA allows to generating parallel programs -making framework ("skeletons") [24]. Main tools of MDA are the platform independent model (PIM) and a model that takes into account the specific features of the platform (Platform Specific Model -PSM) [22].…”

Section: Discrete Models Of Distributed Parallel Computations On Mdamentioning

confidence: 99%

Design of Distributed Parallel Computing Using by MapReduce/MPI Technology

Akhmed-Zaki

Danaev

Matkerim

et al. 2013

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. This paper describes a constructive approach of distributed parallel computing using by hybrid union of MAPREDUCE and MPI technologies for solving oil extracting problems. We extend a common architecture of MAPREDUCE model by organizing decomposition of computational domain at different stages of MAPREDUCE process. We describes Model Driven Architecture (MDA) models for developing formal views of high-performance computing technologies using MAPRE-DUCE. We made computing experiments and show on specific HPC infrastructure. All implementations of programs is realize on Java platform. This approach will possible one of the ways to do cloud computing on high performance heterogeneous systems.

show abstract

Section: Discrete Models Of Distributed Parallel Computations On Mdamentioning

confidence: 99%

Design of Distributed Parallel Computing Using by MapReduce/MPI Technology

Akhmed-Zaki

Danaev

Matkerim

et al. 2013

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…An overview on various skeleton types (specification, implementation, and cost models) have been presented as a chapter in the book by Gorlatch and Rabhi [38,54]. Several parallel map implementations have been discussed and analysed in [33]. An Eden implementation of the large-scale map-and-reduce programming model proposed by Google [18] has been investigated in [6,4].…”

Section: Further Readingmentioning

confidence: 99%

Eden – Parallel Functional Programming with Haskell

Loogen

2012

Central European Functional Programming School

Self Cite

View full text Add to dashboard Cite

Abstract. Eden is a parallel functional programming language which extends Haskell with constructs for the definition and instantiation of parallel processes. Processes evaluate function applications remotely in parallel. The programmer has control over process granularity, data distribution, communication topology, and evaluation site, but need not manage synchronisation and data exchange between processes. The latter are performed by the parallel runtime system through implicit communication channels, transparent to the programmer. Common and sophisticated parallel communication patterns and topologies, so-called algorithmic skeletons, are provided as higher-order functions in a user-extensible skeleton library written in Eden. Eden is geared toward distributed settings, i.e. processes do not share any data, but can equally well be used on multicore systems. This tutorial gives an up-to-date introduction into Eden's programming methodology based on algorithmic skeletons, its language constructs, and its layered implementation on top of the Glasgow Haskell compiler.

show abstract

“…[9,[16][17][18]28,30,33]). This is entirely natural given the conceptual connection between skeletons and higher-order functions.…”

Section: Introductionmentioning

confidence: 99%

Bringing skeletons out of the closet: a pragmatic manifesto for skeletal parallel programming

2004

View full text Add to dashboard Cite

Bringing skeletons out of the closet: a pragmatic manifesto for skeletal parallel programming Citation for published version: Cole, M 2004, 'Bringing skeletons out of the closet: a pragmatic manifesto for skeletal parallel programming ' Parallel Computing, vol. 30,no. 3,. Link: Link to publication record in Edinburgh Research Explorer Document Version:Publisher's PDF, also known as Version of record Published In: Parallel Computing General rightsCopyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policyThe University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer content complies with UK legislation. If you believe that the public display of this file breaches copyright please contact openaccess@ed.ac.uk providing details, and we will remove access to the work immediately and investigate your claim. AbstractSkeleton and pattern based parallel programming promise significant benefits but remain absent from mainstream practice. We consider why this situation has arisen and propose a number of design principles which may help to redress it. We sketch the eSkel library, which represents a concrete attempt to apply these principles. eSkel is based on C and MPI, thereby embedding its skeletons in a conceptually familiar framework. We present an application of eSkel and analyse it as a response to our manifesto.

show abstract

Implementation Skeletons in Eden: Low-Effort Parallel Programming

Cited by 32 publications

References 7 publications

Design of Distributed Parallel Computing Using by MapReduce/MPI Technology

Design of Distributed Parallel Computing Using by MapReduce/MPI Technology

Eden – Parallel Functional Programming with Haskell

Bringing skeletons out of the closet: a pragmatic manifesto for skeletal parallel programming

Contact Info

Product

Resources

About