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Start Over Author "D'Agosta, G." Topic 02 engineering and technology
3 results on '"D'Agosta, G."'

1. The Italian research on HPC key technologies across EuroHPC

Author

Alessandro Cilardo, Antonio Andreini, Biagio Cosenza, Sergio Saponara, Mauro Olivieri, Davide Lengani, Marco Danelutto, Claudio Agostino Ardagna, Marco Aldinucci, Giovanni Agosta, Roberto Esposito, Daniele Simoni, William Fornaciari, Andrea Bartolini, Massimo Torquati, Roberto Giorgi, Raffaele Montella, Aldinucci M., Agosta G., Andreini A., Ardagna C.A., Bartolini A., Cilardo A., Cosenza B., Danelutto M., Esposito R., Fornaciari W., Giorgi R., Lengani D., Montella R., Olivieri M., Saponara S., Simoni D., and Torquati M.

Subjects
high-performance computing, parallel programming, computer programming, Thermal and power management, European Projects, 020203 distributed computing, Scope (project management), Total cost, Computer science, 02 engineering and technology, high Performance Computing, Exascale computing, European Projects, Thermal and power management, run-time management, 020202 computer hardware & architecture, Engineering management, Exascale computing, Informatics, run-time management, 0202 electrical engineering, electronic engineering, information engineering, Key (cryptography), Relevance (information retrieval), high Performance Computing, Large group
Abstract

High-Performance Computing (HPC) is one of the strategic priorities for research and innovation worldwide due to its relevance for industrial and scientific applications. We envision HPC as composed of three pillars: infrastructures, applications, and key technologies and tools. While infrastructures are by construction centralized in large-scale HPC centers, and applications are generally within the purview of domain-specific organizations, key technologies fall in an intermediate case where coordination is needed, but design and development are often decentralized. A large group of Italian researchers has started a dedicated laboratory within the National Interuniversity Consortium for Informatics (CINI) to address this challenge. The laboratory, albeit young, has managed to succeed in its first attempts to propose a coordinated approach to HPC research within the EuroHPC Joint Undertaking, participating in the calls 2019 - 20 to five successful proposals for an aggregate total cost of 95M€. In this paper, we outline the working group's scope and goals and provide an overview of the five funded projects, which become fully operational in March 2021, and cover a selection of key technologies provided by the working group partners, highlighting their usage development within the projects.

Published
2021

2. MANGO: Exploring Manycore Architectures for Next-GeneratiOn HPC Systems

Author

Arman Iranfar, Gerald Guillaume, Igor Piljić, Alexandre Dray, Ermis Papastefanakis, Federico Reghenzani, José María Torralba Martínez, Jose Flich, Giovanni Agosta, Anna Pupykina, Alessandro Cilardo, Philipp Ampletzer, Leon Dragić, William Fornaciari, Marina Zapater, Tomas Picornell, David Alonso, Isabelle Staub, Giuseppe Massari, Hrvoje Mlinarić, Rafael Tornero, Davide Zoni, Ynse Hoornenborg, Bruno Maitre, Simone Libutti, Carlo Brandolese, Alen Duspara, Etienne Cappe, Mario Kovač, Flich, Jos\'e and Agosta, Giovanni and Ampletzer, Philipp and Alonso, David Atienza and Brandolese, Carlo and Cappe, Etienne and Cilardo, Alessandro and Dragi\'c, Leon and Dray, Alexandre and Duspara, Alen and others, Flich, J., Agosta, G., Ampletzer, P., Alonso, D. A., Brandolese, C., Cappe, E., Cilardo, A., Dragić, L., Dray, A., Duspara, A., Fornaciari, W., Guillaume, G., Hoornenborg, Y., Iranfar, A., Kovač, M., Libutti, S., Maitre, B., Martínez, J. M., Massari, G., Mlinarić, H., Papastefanakis, E., Picornell, T., Piljić, I., Pupykina, A., Reghenzani, F., Staub, I., Tornero, R., Zapater, M., and Zoni, D.

Subjects
Exploit, Energy Efficiency, business.industry, Computer science, Quality of service, Distributed computing, High Performance Computing, 02 engineering and technology, Supercomputer, Computer Science Applications, 020202 computer hardware & architecture, Personalization, Customization, Energy Efficiency, High Performance Computing, Computer Science Applications, Computer Vision and Pattern Recognition, Control and Systems Engineering, Hardware and Architecture, Control and Systems Engineering, Hardware and Architecture, Embedded system, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Resource management, Computer Vision and Pattern Recognition, Architecture, business, Customization, System software, Efficient energy use
Abstract

The Horizon 2020 MANGO project aims at exploring deeply heterogeneous accelerators for use in High-Performance Computing systems running multiple applications with different Quality of Service (QoS) levels. The main goal of the project is to exploit customization to adapt computing resources to reach the desired QoS. For this purpose, it explores different but interrelated mechanisms across the architecture and system software. In particular, in this paper we focus on the runtime resource management, the thermal management, and support provided for parallel programming, as well as introducing three applications on which the project foreground will be validated.

Published
2017

3. The ANTAREX Tool Flow for Monitoring and Autotuning Energy Efficient HPC Systems

Author

Jan Martinovič, Stefano Cherubin, Giovanni Agosta, Jorge G. Barbosa, Pedro Pinto, João M. P. Cardoso, Andrea R. Beccari, Cristina Silvano, Erven Rohou, Radim Cmar, Ricardo Nobre, Katerina Slaninova, Davide Gadioli, Candida Manelfi, João Bispo, Nico Sanna, Martin Palkovic, Andrea Bartolini, Luca Benini, Gianluca Palermo, Carlo Cavazzoni, Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano [Milan] (POLIMI), Department of Computer Science [ETH Zürich] (D-INFK), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Dompé S.p.A. [Milano], CINECA [Bologna], ARCHITECTURE (IRISA-D3), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Pushing Architecture and Compilation for Application Performance (PACAP), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-ARCHITECTURE (IRISA-D3), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Technical University of Ostrava [Ostrava] (VSB), Faculdade de Engenharia da Universidade do Porto (FEUP), Universidade do Porto = University of Porto, Departamento de matematica aplicada [Porto] (LIACC), IT4Innovations - National Supercomputing Center [Ostrava], Sygic companies [El Segundo], European Project: 671623,H2020 Pilier Excellent Science,H2020-FETHPC-2014,ANTAREX(2015), Silvano C., Agosta G., Barbosa J., Bartolini A., Beccari A.R., Benini L., Bispo J., Cardoso J.M.P., Cavazzoni C., Cherubin S., Cmar R., Gadioli D., Manelfi C., Martinovic J., Nobre R., Palermo G., Palkovic M., Pinto P., Rohou E., Sanna N., Slaninova K., 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)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Universidade do Porto, Université de Bretagne Sud (UBS)-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)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-CentraleSupélec-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Bretagne Sud (UBS)-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)-Université de Rennes (UNIV-RENNES)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), and Faculdade de Engenharia

Subjects
Speedup, Computer Networks and Communications, Computer science, Energy Efficiency, Distributed computing, [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH], Compiler, Engenharia electrotécnica, electrónica e informática [Ciências da engenharia e tecnologias], Adaptivity, Autotuning, Compilers, DSL, High-Performance Computing, Hardware and Architecture, Modeling and Simulation, Context (language use), 02 engineering and technology, Computer engineering, Electrical engineering, Electronic engineering, Information engineering, 0202 electrical engineering, electronic engineering, information engineering, Use case, Implementation, business.industry, Separation of concerns, Performance tuning, 020207 software engineering, Energy consumption, Electrical engineering, Electronic engineering, Information engineering [Engineering and technology], 020202 computer hardware & architecture, Engenharia de computadores, Engenharia electrotécnica, electrónica e informática, Embedded system, business, Efficient energy use
Abstract

Designing and optimizing HPC applications are difficult and complex tasks, which require mastering specialized languages and tools for performance tuning. As this is incompatible with the current trend to open HPC infrastructures to a wider range of users, the availability of more sophisticated programming languages and tools to assist and automate the design stages is crucial to provide smoothly migration paths towards novel heterogeneous HPC platforms. The ANTAREX project intends to address these issues by providing a tool flow, a Domain Specific Launguage and APIs to provide application's adaptivity and to runtime manage and autotune applications for heterogeneous HPC systems. Our DSL provides a separation of concerns, where analysis, runtime adaptivity, performance tuning and energy strategies are specified separately from the application functionalities with the goal to increase productivity, significantly reduce time to solution, while making possible the deployment of substantially improved implementations. This paper presents the ANTAREX tool flow and shows the impact of optimization strategies in the context of one of the ANTAREX use cases related to personalized drug design. We show how simple strategies, not devised by typical compilers, can substantially speedup the execution and reduce energy consumption. (c) 2017 IEEE.

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