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Optimizing Locality by Topology-aware Placement for a Task Based Programming Model

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Title: Optimizing Locality by Topology-aware Placement for a Task Based Programming Model
Authors: Gustedt, Jens, Jeannot, Emmanuel, Mansouri, Farouk
Contributors: Compilation pour les Architectures MUlti-coeurS (CAMUS), Centre Inria de l'Université de Lorraine, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Hôpitaux Universitaires de Strasbourg (HUS)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie - CNRS Chimie (INC-CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie - CNRS Chimie (INC-CNRS)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Hôpitaux Universitaires de Strasbourg (HUS)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Topology-Aware System-Scale Data Management for High-Performance Computing (TADAAM), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Centre Inria de l'Université de Bordeaux, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Source: IEEE Cluster 2016 Conference ; https://hal.science/hal-01416284 ; IEEE Cluster 2016 Conference, Sep 2016, Taipei, Taiwan. , pp.164 - 165, ⟨10.1109/CLUSTER.2016.87⟩ ; http://ieeecluster2016.org/
Publisher Information: CCSD
Publication Year: 2016
Collection: Université de Lorraine: HAL
Subject Terms: Threads affinity, Task-based programming models, Parallelism, [INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR], [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
Subject Geographic: Taipei, Taiwan
Description: International audience ; The ordered read-write lock model (ORWL) is a modern framework that proposes high level abstractions for the decomposition of an application and for the management of synchronizations and communications. The implementation of the model reaches high performances thanks to a decentralized event-based runtime. In this paper, we propose to enrich ORWL by proposing a topology-aware placement module that is based on the Hardware Locality framework, HWLOC. The aim is double. On one hand we increase the abstraction and the portability of the framework, and on the other hand we enhance the performance of the model’s runtime. We propose a placement policy, that takes the characteristics of the application, of the runtime and of the architecture into account. We validate and compare our approach with the Livermore kernel23 benchmarks.
Document Type: conference object
still image
Language: English
DOI: 10.1109/CLUSTER.2016.87
Availability: https://hal.science/hal-01416284
https://hal.science/hal-01416284v1/document
https://hal.science/hal-01416284v1/file/bare_conf_2pages.pdf
https://doi.org/10.1109/CLUSTER.2016.87
Rights: info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.28FDAC84
Database: BASE
Description
Abstract:International audience ; The ordered read-write lock model (ORWL) is a modern framework that proposes high level abstractions for the decomposition of an application and for the management of synchronizations and communications. The implementation of the model reaches high performances thanks to a decentralized event-based runtime. In this paper, we propose to enrich ORWL by proposing a topology-aware placement module that is based on the Hardware Locality framework, HWLOC. The aim is double. On one hand we increase the abstraction and the portability of the framework, and on the other hand we enhance the performance of the model’s runtime. We propose a placement policy, that takes the characteristics of the application, of the runtime and of the architecture into account. We validate and compare our approach with the Livermore kernel23 benchmarks.
DOI:10.1109/CLUSTER.2016.87