MDE4HPC: An Approach for Using Model-Driven Engineering in High-Performance Computing

Palyart, Marc; Lugato, David; Ober, Iulian; Bruel, Jean‐Michel

doi:10.1007/978-3-642-25264-8_19

Cited by 15 publications

(15 citation statements)

References 18 publications

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“…We think that model-based development techniques such as MDA [7] can help us deal with this complexity. In accordance with this opinion, we described in [8] the characteristics and possibilities of such a development approach. In this paper we present results of experiments conducted using this approach.…”

Section: Introductionmentioning

confidence: 76%

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Improving Scalability and Maintenance of Software for High-Performance Scientific Computing by Combining MDE and Frameworks

Palyart

Lugato

Ober

et al. 2011

Model Driven Engineering Languages and Systems

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Abstract. In recent years, numerical simulation has attracted increasing interest within industry and among academics. Paradoxically, the development and maintenance of high performance scientific computing software has become more complex due to the diversification of hardware architectures and their related programming languages and libraries.In this paper, we share our experience in using model-driven development for numerical simulation software. Our approach called MDE4HPC proposes to tackle development complexity by using a domain specific modeling language to describe abstract views of the software. We present and analyse the results obtained with its implementation when deriving this abstract model to target Arcane, a development framework for 2D and 3D numerical simulation software.

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Section: Introductionmentioning

confidence: 76%

“…The foundations of this approach were presented in [8]. This section aims to complete this broad description by detailing concepts required for the understanding of the results presented in Section 3.…”

Section: Mde4hpcmentioning

confidence: 99%

Improving Scalability and Maintenance of Software for High-Performance Scientific Computing by Combining MDE and Frameworks

Palyart

Lugato

Ober

et al. 2011

Model Driven Engineering Languages and Systems

Self Cite

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show abstract

“…In accordance with this opinion, we described in [15] the characteristics and possibilities of such a development approach that we called MDE4HPC. In [14], we applied the MDE4HPC principles with the ArchiMDE tool and attempted to combine MDE and frameworks in order to solve our problem.…”

Section: Introductionmentioning

confidence: 90%

HPCML

Palyart

Ober

Lugato

et al. 2012

Proceedings of the 1st International Workshop on Model-Driven Engineering for High Performance and CLoud Computing

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Tremendous computational resources are required to compute complex physical simulations. Unfortunately computers able to provide such computational power are difficult to program, especially since the rise of heterogeneous hardware architectures. This makes it particularly challenging to exploit efficiently and sustainably supercomputers resources. We think that model-driven engineering can help us tame the complexity of high-performance scientific computing software development by separating the different concerns such as mathematics, parallelism, or validation. The principles of our approach, named MDE4HPC, stem from this idea. In this paper, we describe the High-Performance Computing Modeling Language (HPCML), a domain-specific modeling language at the center of this approach.

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“…More recently, Palyart et al presented MDE4HPC [10], an model-based approach to describe and generate scientific knowledge for diverse architectures. This work presents a methodology to generate HPC applications independently from the platform by using Archi-MDE.…”

Section: Listing 4 Data-center Configuration In Simcan 4 Evaluationmentioning

confidence: 99%

MAGICIAN: Model-based design for optimizing the configuration of data-centers

Cañizares

Núñez

Lara

2017

International Conferences on Software Engineering and Knowledge Engineering

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Designing data-centers that provide an acceptable costperformance ratio is challenging. Generally, a wide spectrum of components must be previously analyzed, such as the kind of applications to be executed in the data-center, computing/storage requirements and the network topology, among others. Since each one of these components has a direct impact on the overall system performance, the design process is complex and difficult, which usually requires the intervention of an expert.We propose a model-based approach to design datacenters. For this purpose, we have created a meta-model that describes the structure of data-center models. Then, a set of expert rules can be used to detect sub-optimal configurations, and (in some cases) correct the design. Datacenter models can be simulated, to assess their performance and scalability, for which we use a code generator into the SIMCAN tool. We have implemented our approach as an Eclipse plugin, and illustrate the usefulness of some expert rules by showing the efficiency and scalability gains of the optimized model with respect to the original one.

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MDE4HPC: An Approach for Using Model-Driven Engineering in High-Performance Computing

Cited by 15 publications

References 18 publications

Improving Scalability and Maintenance of Software for High-Performance Scientific Computing by Combining MDE and Frameworks

Improving Scalability and Maintenance of Software for High-Performance Scientific Computing by Combining MDE and Frameworks

HPCML

MAGICIAN: Model-based design for optimizing the configuration of data-centers

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