Resource Optimisation via Structured Parallel Programming

Bacci, Bruno; Danelutto, Marco; Pelagatti, Susanna

doi:10.1007/978-3-0348-8534-8_2

Cited by 11 publications

(4 citation statements)

References 5 publications

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“…This is a very promising field in which substantial research has still to be done [19]; -the template/resource optimization phase applies the set of approximate heuristics by descending the construct tree and consulting the performance models and the local optimization rules for each template. This phase assumes an unbounded amount of computing resources; -to meet the actual amount of computing resources, the implementation is reduced by applying the so called Limited Resources Algorithm [7] that "shrinks" the template network iteratively; at each step the amount of eliminated resources is the one that produces the minimum degradation of performance with respect to the unbounded resources version.…”

Section: The Coordination Language Approachmentioning

confidence: 99%

“…Work is in progress to integrate Java and other standard object-oriented tools. The coordination language SklECL is an industrial version of p3L, a prototype research vehicle designed at the Department of Computer Science, University of Pisa [5][6][7][8]. SklECL allows the software designers to express, in a primitive and structured way, both data parallelism and task parallelism.…”

Section: Introductionmentioning

confidence: 99%

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Heterogeneous HPC environments

Vanneschi

1998

Euro-Par’98 Parallel Processing

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Directions of software technologies for innovative HPC environments are discussed according to the industrial user requirements for heterogeneous multidisciplinary applications, performance portability, rapid prototyping and software reuse, integration and interoperability of standard tools. The various issues are demonstrated with reference to the PQE2000 project and its programming environment SklE (Skeleton-based Integrated Environment). Modules developed by a variety of standard languages and tools are encapsulated into SklECL (SklE Coordination Language) structures to form the global application. A performance model associated to SklECL allows the static and dynamic tools to introduce a large amount of global optimizations without the direct intervention of the programmer. The paper discusses also some of the most critical issues in matching architecture and software technology, showing how the SklE environment, and its evolutions, can act as a solid framework in which innovative hardware-software systems for HPC can be studied and experimented.

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Section: The Coordination Language Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Heterogeneous HPC environments

Vanneschi

1998

Euro-Par’98 Parallel Processing

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“…For example, the Limited Resources Algorithm of the P3L compiler [3] can be adopted for this purpose. …”

Section: Pim Architecturementioning

confidence: 99%

“…In the PQE2000 project, the performance portability issue is addressed by a global structured parallel programming methodology derived from the P3L programming model and prototype [3,2,1,4,8,7].…”

Section: The Pqe2000 Programming Environmentmentioning

confidence: 99%

Variable grain architectures for MPP computation and structured parallel programming

Vanneschi

Proceedings. Third Working Conference on Massively Parallel Programming Models (Cat. No.97TB100228)

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The paper discusses the relationships between hierarchically composite MPP architectures and the software technology derived from the structured parallel programming methodology, in particular the architectural support to successive modular rejinements of parallel applications, and the architectural support to the parallel programming paradigms and their combinations. The structured parallel programming methodology referred here is an application of the Skeletons model. The considered hierarchically composite architectures are MPP machine models for PetaFlops computing, composed of proper combinations of current architectural models of different granularities, where the Processors-In-Memory model is adopted at the finest granularity level. The methodologies are discussed with reference to the current PQE2000 Project on MPP general purpose systems.

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Task and Data Parallelism in P3L

Pelagatti¹

2003

Patterns and Skeletons for Parallel and Distributed Computing

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Resource Optimisation via Structured Parallel Programming

Cited by 11 publications

References 5 publications

Heterogeneous HPC environments

Heterogeneous HPC environments

Variable grain architectures for MPP computation and structured parallel programming

Task and Data Parallelism in P3L

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