Accelerating Apache Farms Through Ad-HOC Distributed Scalable Object Repository

Aldinucci, Marco; Torquati, Massimo

doi:10.1007/978-3-540-27866-5_78

Cited by 8 publications

(4 citation statements)

References 10 publications

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“…A significant infrastructure component of ASSIST, AdHoc is a hierarchical and fault‐tolerant distributed shared‐memory infrastructure to interconnect streams of data between processing elements by providing a repository with get, put, remove, and execute operations 70, 71. It is primarily focused on providing integration, scalability, and fault‐tolerance to the data repository access.…”

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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“…For example, some of them aim at sharing storage resources among all caches in order to supply a big virtual cache [24,[32][33][34][35][36].…”

Section: Non-resolution-based Cooperative Cachingmentioning

confidence: 99%

Adaptable cache service and application to grid caching

d’Orazio

Roncancio²,

LabbÃ©³

2009

Concurrency and Computation

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Caching is an important element to tackle performance issues in largely distributed data management. However, caches are efficient only if they are well configured according to the context of use. As a consequence, they are usually built from scratch. Such an approach appears to be expensive and time consuming in grids where the various characteristics lead to many heterogeneous cache requirements. This paper proposes a framework facilitating the construction of sophisticated and dynamically adaptable caches for heterogeneous applications. Such a framework has enabled the evaluation of several configurations for distributed data querying systems and leads us to propose innovative approaches for semantic and cooperative caching. This paper also reports the results obtained in bioinformatics data management on grids showing the relevance of our proposals.

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“…ASSISTlib provides a set of "task code" classes implementing the instructions of the compiler target abstract architecture. AdHOC library provides a shared data abstraction [9]. Eventually the application and module managers provide autonomic control in the ASSIST applications and in the single parmod modules taking care of monitoring the execution of applications and adapt their execution to the dynamic target Grid features.…”

Section: Layered Implementationmentioning

confidence: 99%

High level Grid programming with ASSIST*

Aldinucci¹,

Coppola²,

Danelutto³

et al. 2006

CMST

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Abstract:The development of efficient Grid applications usually requires writing huge portions of code directly at the level of abstraction provided by the underlying Grid middleware. In this work we discuss an alternative approach, raising the level of abstraction used when programming Grid applications. Our approach requires programmers just to describe in a qualitative way the kind of parallelism they want to express. Then, compiler tools, loader tools and run time system take complete care of running the application on a Grid target architecture. This allows to move most of the cumbersome tasks related to Grid targeting and management from programmer responsibility to tools. This paper introduces the structured parallel programming environment ASSIST, whose design is aimed at raising the level of abstraction in Grid programming and discusses how it can support transparent Grid programming while implementing Grid adaptivity.

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Accelerating Apache Farms Through Ad-HOC Distributed Scalable Object Repository

Cited by 8 publications

References 10 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

Adaptable cache service and application to grid caching

High level Grid programming with ASSIST*

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