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8 results on '"Julien Bigot"'

1. Performance portable Vlasov code with C++ parallel algorithm

Author

Yuuichi Asahi, Thomas Padioleau, Guillaume Latu, Julien Bigot, Virginie Grandgirard, Kevin Obrejan, Japan Atomic Energy Agency (JAEA), Maison de la Simulation (MDLS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de Recherche en Informatique et en Automatique (Inria)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), and Institut de Recherche sur la Fusion par confinement Magnétique (IRFM)

Subjects
conferences, [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF], productivity, [INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL], plasma simulation, [PHYS.PHYS.PHYS-PLASM-PH]Physics [physics]/Physics [physics]/Plasma Physics [physics.plasm-ph], kinetic theory, codes, parallel algorithms, [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE], [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], c++ languages, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
Abstract

International audience; This paper presents the performance portable implementation of a kinetic plasma simulation code with C++ parallel algorithm to run across multiple CPUs and GPUs. Relying on the language standard parallelism stdpar and proposed language standard multi-dimensional array support mdspan, we demonstrate that a performance portable implementation is possible without harming the readability and productivity. We obtain a good overall performance for a mini-application in the range of 20 % to the Kokkos version on Intel Icelake, NVIDIA V100, and A100 GPUs. Our conclusion is that stdpar can be a good candidate to develop a performance portable and productive code targeting the Exascale era platform, assuming this approach will be available on AMD and/or Intel GPUs in the future.

Published
2022
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2. Extensibility and Composability of a Multi-Stencil Domain Specific Framework

Author

Christian Pérez, Hélène Coullon, Julien Bigot, Laboratoire des Sciences du Numérique de Nantes (LS2N), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Département Automatique, Productique et Informatique (IMT Atlantique - DAPI), IMT Atlantique (IMT Atlantique), Software Stack for Massively Geo-Distributed Infrastructures (LS2N - équipe STACK), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire des Sciences du Numérique de Nantes (LS2N), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Maison de la Simulation (MDLS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de Recherche en Informatique et en Automatique (Inria)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Algorithms and Software Architectures for Distributed and HPC Platforms (AVALON), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire de l'Informatique du Parallélisme (LIP), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Laboratoire de l'Informatique du Parallélisme (LIP), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS), Grid'5000, IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Software Stack for Massively Geo-Distributed Infrastructures (STACK), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Centre National de la Recherche Scientifique (CNRS)-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École normale supérieure - Lyon (ENS Lyon)-Centre National de la Recherche Scientifique (CNRS)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École normale supérieure - Lyon (ENS Lyon), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL)

Subjects
Domain-specific language, Computer science, Data parallelism, Task parallelism, 02 engineering and technology, Parallel computing, Numerical simulation, [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE], 01 natural sciences, Stencil, Theoretical Computer Science, Component programming models, Composability, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Domain specific language (DSL), 010302 applied physics, [INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL], Scheduling, Separation of concerns, Code reuse, OpenMP, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, 020202 computer hardware & architecture, Programming paradigm, MPI, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], Software, Information Systems
Abstract

International audience; As the computation power of modern high performance architectures increases, their heterogeneity and complexity also become more important. One of the big challenges of exascale is to reach programming models that give access to high performance computing (HPC) to many scientists and not only to a few HPC specialists. One relevant solution to ease parallel programming for scientists is domain specific language (DSL). However, one problem to avoid with DSLs is to mutualize existing codes and libraries instead of implementing each solution from scratch. For example, this phenomenon occurs for stencil-based numerical simulations, for which a large number of languages has been proposed without code reuse between them. The Multi-Stencil Framework (MSF) presented in this paper combines a new DSL to component-based programming models to enhance code reuse and separation of concerns in the specific case of stencils. MSF can easily choose one parallelization technique or another, one optimization or another, as well as one back-end implementation or another. It is shown that MSF can reach same performances than a non component-based MPI implementation over 16,384 cores. Finally, the performance model of the framework for hybrid parallelization is validated by evaluations.

Published
2017
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3. From DSL to HPC Component-Based Runtime: A Multi-Stencil DSL Case Study

Author

Christian Pérez, Hélène Coullon, Julien Bigot, Maison de la Simulation (MDLS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de Recherche en Informatique et en Automatique (Inria)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Algorithms and Software Architectures for Distributed and HPC Platforms (AVALON), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire de l'Informatique du Parallélisme (LIP), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Grid5000, Centre National de la Recherche Scientifique (CNRS)-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École normale supérieure - Lyon (ENS Lyon)-Centre National de la Recherche Scientifique (CNRS)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-École normale supérieure - Lyon (ENS Lyon)

Subjects
Component Based Software engineering, Domain-specific language, [INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL], business.industry, Computer science, Stencil code, Distributed computing, DSL domain specific language, Maintainability, [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE], Stencil, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Stencil codes, Software portability, Digital subscriber line, Programming productivity, Component-based software engineering, HPC High-Performance Computing, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], Software engineering, business
Abstract

International audience; High performance architectures evolve continuously to be more powerful. Such architectures also usually become more difficult to use efficiently. As a scientist is not a low level and high performance programming expert, Domain Specific Languages (DSLs) are a promising solution to automatically and efficiently write high performance codes. However, if DSLs ease programming for scientists, maintainability and portability issues are transferred from scientists to DSL de- signers. This paper deals with an approach to improve main- tainability and programming productivity of DSLs through the generation of a component-based parallel runtime. To study it, the paper presents a DSL for multi-stencil pro- grams, that is evaluated on a real-case of shallow water equations.

Published
2015
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4. A low level component model easing performance portability of HPC applications

Author

Zhengxiong Hou, Christian Pérez, Julien Bigot, Vincent Pichon, Maison de la Simulation (MDLS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de Recherche en Informatique et en Automatique (Inria)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Algorithms and Software Architectures for Distributed and HPC Platforms (AVALON), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire de l'Informatique du Parallélisme (LIP), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), EDF R&D (EDF R&D), EDF (EDF), Centre National de la Recherche Scientifique (CNRS)-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École normale supérieure - Lyon (ENS Lyon)-Centre National de la Recherche Scientifique (CNRS)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-École normale supérieure - Lyon (ENS Lyon)

Subjects
Numerical Analysis, [INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL], Computer science, Stencil code, Distributed computing, Maintainability, 020207 software engineering, 02 engineering and technology, computer.software_genre, Supercomputer, 020202 computer hardware & architecture, Computer Science Applications, Theoretical Computer Science, Computational Mathematics, Software portability, Computational Theory and Mathematics, Common Object Request Broker Architecture, Portability testing, Component-based software engineering, 0202 electrical engineering, electronic engineering, information engineering, Operating system, Software architecture, computer, Software
Abstract

Scientific applications are getting increasingly complex, e.g., to improve their accuracy by taking into account more phenomena. Meanwhile, computing infrastructures are continuing their fast evolution. Thus, software engineering is becoming a major issue to offer ease of development, portability and maintainability while achieving high performance. Component based software engineering offers a promising approach that enables the manipulation of the software architecture of applications. However, existing models do not provide an adequate support for performance portability of HPC applications. This paper proposes a low level component model (L $$^2$$ 2 C) that supports inter-component interactions for typical scenarios of high performance computing, such as process-local shared memory and function invocation (C++ and Fortran), MPI, and Corba. To study the benefits of using L $$^2$$ 2 C, this paper walks through an example of stencil computation, i.e. a structured mesh Jacobi implementation of the 2D heat equation parallelized through domain decomposition. The experimental results obtained on the Grid'5000 testbed and on the Curie supercomputer show that L $$^2$$ 2 C can achieve performance similar to that of native implementations, while easing performance portability.

Published
2014
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5. An asynchronous writing method for restart files in the gysela code in prevision of exascale systems

Author

Virginie Grandgirard, Fabien Rozar, C. Passeron, Guillaume Latu, Julien Bigot, Olivier Thomine, Institut de Recherche sur la Fusion par confinement Magnétique (IRFM), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Maison de la Simulation (MDLS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de Recherche en Informatique et en Automatique (Inria)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), and Centre National de la Recherche Scientifique (CNRS)-Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)

Subjects
T57-57.97, Applied mathematics. Quantitative methods, Theoretical computer science, [INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL], Computer science, Parallel computing, ACM: D.: Software/D.1: PROGRAMMING TECHNIQUES/D.1.3: Concurrent Programming/D.1.3.1: Parallel programming, 01 natural sciences, 010305 fluids & plasmas, Work (electrical), Asynchronous communication, ACM: J.: Computer Applications/J.2: PHYSICAL SCIENCES AND ENGINEERING/J.2.8: Physics, 0103 physical sciences, QA1-939, Code (cryptography), 010306 general physics, ACM: B.: Hardware/B.8: PERFORMANCE AND RELIABILITY/B.8.1: Reliability, Testing, and Fault-Tolerance, Mathematics
Abstract

The present work deals with an optimization procedure developed in the full-f global GYrokinetic SEmi-LAgrangian code (GYSELA). Optimizing the writing of the restart files is necessary to reduce the computing impact of crashes. These files require a very large memory space, and particularly so for very large mesh sizes. The limited bandwidth of the data pipe between the comput- ing nodes and the storage system induces a non-scalable part in the GYSELA code, which increases with the mesh size. Indeed the transfer time of RAM to data depends linearly on the files size. The necessity of non synchronized writing-in-file procedure is therefore crucial. A new GYSELA module has been developed. This asynchronous procedure allows the frequent writ- ing of the restart files, whilst preventing a severe slowing down due to the limited writing bandwidth. This method has been improved to generate a checksum control of the restart files, and automatically rerun the code in case of a crash for any cause.

Published
2012
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6. Increasing Reuse in Component Models through Genericity

Author

Christian Pérez, Julien Bigot, Algorithms and Scheduling for Distributed Heterogeneous Platforms (GRAAL), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire de l'Informatique du Parallélisme (LIP), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Stephen H. Edwards and Gregory Kulczycki, École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), and INRIA

Subjects
Common Component Architecture, 020203 distributed computing, Presentation–abstraction–control, Engineering, [INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL], business.industry, Distributed computing, 020207 software engineering, 02 engineering and technology, Reuse, Common Object Request Broker Architecture, software components, Component (UML), Component-based software engineering, 0202 electrical engineering, electronic engineering, information engineering, Systems engineering, Algorithmic skeleton, business, genericity, Reusability
Abstract

International audience; A current limitation to component reusability is that component models target to describe a deployed assembly and thus bind the behavior of a component to the data-types it manipulates. This paper studies the feasibility of supporting genericity within component models, including component and port types. The proposed approach works by extending the meta-model of an existing component model. It is applied to the SCA component model; a working prototype shows its feasibility.

Published
2009
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7. On Abstractions of Software Component Models for Scientific Applications

Author

Christian Pérez, Thierry Priol, Hinde Lilia Bouziane, Julien Bigot, Algorithms and Scheduling for Distributed Heterogeneous Platforms (GRAAL), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire de l'Informatique du Parallélisme (LIP), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Programming distributed parallel systems for large scale numerical simulation (PARIS), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Cachan (ENS Cachan)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria), Eduardo César and Michael Alexander and Achim Streit and Jesper Larsson Träff and Christophe Cérin and Andreas Knüpfer and Dieter Kranzlmüller and Shantenu Jha, ANR-05-CIGC-0011,LEGO,League for Efficient Grid Operations(2005), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Cachan (ENS Cachan)-Inria Rennes – Bretagne Atlantique

Subjects
DATA SHARING, Common Component Architecture, parallelism, 020203 distributed computing, [INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL], Computer science, Distributed computing, Aggregate (data warehouse), 020207 software engineering, abstraction, 02 engineering and technology, Grid, programming, COMPONENT, Data sharing, DSM, Common Object Request Broker Architecture, Component (UML), Component-based software engineering, 0202 electrical engineering, electronic engineering, information engineering, Programming paradigm, GRID, CORBA
Abstract

International audience; In the seek of more computing power, two sources of complexity are to face. On one hand, it is possible to aggregate a large amount of computing power (and storage) at the price of very complex resources such as grids. On the other hand, such available computing power allows to imagine more complex applications such as code coupling applications to achieve more realistic simulations. Component models appear as a solid foundation to handle simultaneously both sources of complexity. However, component models need to provide adequate abstractions to offer a simple programming model while enabling high performance on any kind of resources. This paper reviews several abstractions dedicated for scientific applications: data sharing between components, master-worker relationships, parallel to parallel component communications and collective communications among components.

Published
2009
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8. Enabling collective communications between components

Author

Julien Bigot, Christian Pérez, Programming distributed parallel systems for large scale numerical simulation (PARIS), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Cachan (ENS Cachan)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria), Grid'5000, Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Cachan (ENS Cachan)-Inria Rennes – Bretagne Atlantique

Subjects
Focus (computing), [INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL], Computer science, Distributed computing, ACM: D.: Software/D.3: PROGRAMMING LANGUAGES/D.3.2: Language Classifications/D.3.2.1: Concurrent, distributed, and parallel languages, 020206 networking & telecommunications, 02 engineering and technology, COMPONENT, COLLECTIVE COMMUNICATION, Reduction (complexity), Collective communication, Component (UML), Component-based software engineering, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Point (geometry), Special case, Projection (set theory)
Abstract

International audience; Existing high performance component models mainly focus on the efficiency of the composition of two components, tackling also the special case of parallel components that enable N x M communications. The implementation of parallel components is usually assumed to be done thanks to some external communication paradigms like MPI. However, as of today, collective communication operations like broadcast, reduction, gather, etc. are not supported by component models. Programmers should develop such operations on top of point-to-point communication operations provided by component models. This paper studies how collective operations between components can be provided from an user and developer point of view. The result is an abstract component model that allows the implementation of collective communications. Software components are then able to use collective communications between several instances. To be effective on hierarchical resources such as grids, the model is hierarchical and relies on the concept of replicating component implementation. Last, the paper deals with the projection of such an abstract model onto existing models. It is validated through some very preliminary experiments.

Published
2007
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