A framework for experimenting with structured parallel programming environment design

Aldinucci, Marco; Campa, Sonia; Ciullo, Pierpaolo; Coppola, Massimo; Danelutto, Marco; Pesciullesi, Paolo; Ravazzolo, Roberto; Torquati, Massimo; Vanneschi, Marco; Zoccolo, Corrado

doi:10.1016/s0927-5452(04)80077-7

Cited by 10 publications

(9 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some others provide programmers with a higher level of abstraction, but are oriented to coarse grain computations (e.g. ASSIST [14], [15], StreamIt [16], Brook [17]). Not many succeed to target streams, even at medium or fine grain with a high-level programming model, inter-alia Intel Threading Building Blocks (TBB), and FastFlow, which will be discussed in Sec.…”

Section: A High-level Development Toolsmentioning

confidence: 99%

Parallel Stochastic Simulators in System Biology: The Evolution of the Species

Aldinucci

Drocco

Tordini

et al. 2013

2013 21st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing

Self Cite

View full text Add to dashboard Cite

Abstract-The stochastic simulation of biological systems is an increasingly popular technique in Bioinformatics. It is often an enlightening technique, especially for multi-stable systems which dynamics can be hardly captured with ordinary differential equations. To be effective, stochastic simulations should be supported by powerful statistical analysis tools. The simulation-analysis workflow may however result in being computationally expensive, thus compromising the interactivity required in model tuning. In this work we advocate the high-level design of simulators for stochastic systems as a vehicle for building efficient and portable parallel simulators. In particular, the Calculus of Wrapped Components (CWC) simulator, which is designed according to the FastFlow's pattern-based approach, is presented and discussed in this work. FastFlow has been extended to support also clusters of multi-cores with minimal coding effort, assessing the portability of the approach.

show abstract

Section: A High-level Development Toolsmentioning

confidence: 99%

Parallel Stochastic Simulators in System Biology: The Evolution of the Species

Aldinucci

Drocco

Tordini

et al. 2013

2013 21st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing

Self Cite

View full text Add to dashboard Cite

show abstract

“…Last but not least, ASSIST code can be compiled into GRID.it components and used within any other GRID.it component program. The interested reader can refer to [42,4,3] or to the ASSIST home page, hosting the available documentation at http:www.di.unipi.it/Assist.html.…”

Section: Assistmentioning

confidence: 99%

High level Grid programming with ASSIST*

Aldinucci¹,

Coppola²,

Danelutto³

et al. 2006

CMST

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…The compilation process has been designed [2,4] to generate code for heterogeneous clusters/workstation networks 1 . When compiling for an heterogeneous platform, the ASSIST compiler produces a full set of object files for every configured architecture, and a global configuration file, that can be used to start the application on a set of heterogeneous computing nodes, by means of a simple invocation of the ASSIST loader.…”

Section: Heterogeneous Network/cluster Targetingmentioning

confidence: 99%

Targeting Heterogeneous Architectures in ASSIST: Experimental Results

Aldinucci

Campa

Coppola

et al. 2004

Lecture Notes in Computer Science

Self Cite

View full text Add to dashboard Cite

Abstract. We describe how the ASSIST parallel programming environment can be used to run parallel programs on collections of heterogeneous workstations and evaluate the scalability of one task-farm real application and a data-parallel benchmark, comparing the actual performance figures measured when using homogeneous and heterogeneous workstation clusters. We describe also the ASSIST approach to heterogeneous distributed shared memory and provide preliminary performance figures of the current implementation.

show abstract

A framework for experimenting with structured parallel programming environment design

Cited by 10 publications

References 11 publications

Parallel Stochastic Simulators in System Biology: The Evolution of the Species

Parallel Stochastic Simulators in System Biology: The Evolution of the Species

High level Grid programming with ASSIST*

Targeting Heterogeneous Architectures in ASSIST: Experimental Results

Contact Info

Product

Resources

About