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1. SGX Switchless Calls Made Configless

Author

Yuhala, Peterson, primary, Paper, Michael, additional, Zerbib, Timothée, additional, Felber, Pascal, additional, Schiavoni, Valerio, additional, and Tchana, Alain, additional

Published
2023
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4. Combining Uncore Frequency and Dynamic Power Capping to Improve Power Savings

Author

Guermouche, Amina, STatic Optimizations, Runtime Methods (STORM), 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)-Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Université de Bordeaux (UB), Institut Polytechnique de Bordeaux (Bordeaux INP), and This work was supported by the European High-Performance Computing Joint Undertaking EuroHPC under grant agreement No 955495 (MICROCARD) co-funded by the Horizon 2020 program of the European Union (EU), the French National Research Agency ANR, the German Federal Ministry of Education and Research, the Italian ministry of economic development, the Swiss State Secretariat for Education, Research and Innovation, the Austrian Research Promotion Agency FFG, and the Research Council of Norway. Experiments presented in this paper were carried out using the Grid’5000 testbed, supported by a scientific interest group hosted by Inria and including CNRS, RENATER and several Universities as well as other organizations (see https://www.grid5000.fr).

Subjects
Energy consumption, Uncore frequency, Power consumption, Power capping, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
Abstract

International audience; The US Department of Energy sets a limit of 20 to 30 MW for future exascale machines. In order to control their power consumption, modern processors provide many features. Power capping and uncore frequency scaling are examples of such features which allow to limit the power consumed by a processor. In this paper, we propose to combine dynamic power capping to uncore frequency scaling. We propose DUFP, an extension of DUF, an existing tool which dynamically adapts uncore frequency. DUFP dynamically adapts the processor power cap to the application needs. Finally, just like DUF, DUFP can tolerate performance loss up to a user-defined limit. With a controlled impact on performance, DUFP is able to provide power savings with no energy loss. The evaluation of DUFP shows that it manages to stay within the user-defined slowdown limits for most of the studied applications. Moreover, combining uncore frequency scaling to power capping: (i) improves power consumption by up to 13.98 % with additional energy savings for applications where uncore frequency scaling has a limited impact, (ii) improves power consumption by up to 7.90 % compared to using uncore frequency scaling by itself and (iii) leads to more than 5 % power savings at 5 % tolerated slowdown with no energy loss for most applications.

Published
2022

5. Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimization

Author

TehraniJamsaz, Ali, Popov, Mihail, Dutta, Akash, Saillard, Emmanuelle, Jannesari, Ali, Iowa State University (ISU), STatic Optimizations, Runtime Methods (STORM), 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)-Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), We would like to thank the Research IT team of Iowa State University for their continuous support in providing access to HPC clusters for conducting the experiments of this research project. Experiments presented in this paper were carried out using the experimental testbeds PlaFRIM, supported by Inria, CNRS (LABRI and IMB), Universite de Bordeaux, Bordeaux INP, Conseil Regional d’Aquitaine, and Grid’5000, supported by a scientific interest group hosted by Inria, CNRS, RENATER and several Universities as well as other organizations., and Grid'5000

Subjects
FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), NUMA, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Artificial Intelligence, graph neural networks, OpenMP, LLVM Intermediate Representation, [INFO]Computer Science [cs], Distributed, Parallel, and Cluster Computing (cs.DC), prefetching, Machine Learning (cs.LG)
Abstract

International audience; There is a large space of NUMA and hardware prefetcher configurations that can significantly impact the performance of an application. Previous studies have demonstrated how a model can automatically select configurations based on the dynamic properties of the code to achieve speedups. This paper demonstrates how the static Intermediate Representation (IR) of the code can guide NUMA/prefetcher optimizations without the prohibitive cost of performance profiling. We propose a method to create a comprehensive dataset that includes a diverse set of intermediate representations along with optimum configurations. We then apply a graph neural network model in order to validate this dataset. We show that our static intermediate representation based model achieves 80% of the performance gains provided by expensive dynamic performance profiling based strategies. We further develop a hybrid model that uses both static and dynamic information. Our hybrid model achieves the same gains as the dynamic models but at a reduced cost by only profiling 30% of the programs.

Published
2022

6. EDUTECH - Good Practices in Cooperation between Schools and Academia Attracting Candidates for Technical Education

Author

Karolina Kudelina, Toomas Vaimann, Kévin Berger, Mariusz Stepien, Anton Rassolkin, Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology (TTÜ), Department of Power Electronics, Electrical Drives and Robotics, Silesian University of Technology, Groupe de Recherche en Energie Electrique de Nancy (GREEN), Université de Lorraine (UL), The paper describes activities realized under the project within Erasmus+ KA2 scheme. Authors thanks all contributing partners, particularly teachers from partner schools., and Riga Technical University

Subjects
Higher education, business.industry, [SHS.EDU]Humanities and Social Sciences/Education, 4. Education, media_common.quotation_subject, [SPI.NRJ]Engineering Sciences [physics]/Electric power, Public relations, Collaboration, Engineering education, Project based, Strategic partnership, Vocational education, Technical university, Quality (business), business, Erasmus+, Educational programs, media_common
Abstract

International audience; The paper is based on idea realized under Erasmus+ Strategic Partnership Key Action 2 and focused on educational activities for attracting technical education to young people. The project based on exchange of good practices involves seven partners from three countries (Poland, Estonia and France). Three of them represents sector of higher education and four are schools located in the neighbour of the technical university. Unfortunately, in recent years number of candidates entering to technical universities (particularly in Europe) decreases. Partners exchange ideas how to increase number of students who starts education in technical area. Another project goal is to examine possibilities how the university can contribute in increasing quality of technical education at schools. Main project ideas and results of project activities are reported in the paper.

Published
2020

7. Towards a Safe Software Development Environment

Author

Mahmoud Hussein, Reda Nouacer, Ansgar Radermacher, Département Ingénierie Logiciels et Systèmes ( DILS ), Laboratoire d'Intégration des Systèmes et des Technologies ( LIST ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay, In this paper, we have presented a number of use cases that are done in industrial and research projects. In the following, we present the funding organizations for these projects:- The SafeAdapt project was funded by the European Commission within the 7th Framework Program under the grant number '608945'.- The STANCE project was also funded by the European Commission under the ICT theme of the 7th Framework Program with the grant agreement number '317753'.- The OpenES project was funded under the CATRENE Program with the agreement number 'CA703-2013'.- The EQUITAS project was funded by Bpifrance under call FUI-AAP16 with a contract number 'F1312031-Q'.- The SESAM Grids is a 'Programme d'Investissement d'Avenir' project funded by 'FSN-Briques Génériques du Logiciel Embarqué N°3' with contract number J.- The VESSEDIA project receives funding from the European Union's Horizon 2020 Program (H2020/2014-2020) under grant agreement number '731453'., Novotny M., Kubatova H., Skavhaug A., European Project : 608945,EC:FP7:ICT,FP7-2013-ICT-GC,SAFEADAPT ( 2013 ), European Project : 317753,EC:FP7:ICT,FP7-ICT-2011-8,STANCE ( 2012 ), European Project : 731453, Département Ingénierie Logiciels et Systèmes (DILS), Laboratoire d'Intégration des Systèmes et des Technologies (LIST), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Novotny M., Kubatova H., Skavhaug A., European Project: 608945,EC:FP7:ICT,FP7-2013-ICT-GC,SAFEADAPT(2013), European Project: 317753,EC:FP7:ICT,FP7-ICT-2011-8,STANCE(2012), European Project: 731453, and Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA))

Subjects
Safety engineering, [ INFO ] Computer Science [cs], Computer science, Embedded systems, Systems analysis, Software development environment, Static code analysis, 02 engineering and technology, computer.software_genre, Software development process, 0202 electrical engineering, electronic engineering, information engineering, [INFO]Computer Science [cs], Software system, Software design, Safety analysis, Hardware and software, business.industry, Model driven development, Software development, Codes (symbols), 020207 software engineering, Open source software, Industrial research, 020202 computer hardware & architecture, Software framework, C (programming language), Engineering methodology, Systems development life cycle, Embedded system, Software construction, Package development process, Avionics software, Open source development, Software engineering, business, computer, Simulation
Abstract

Conference of 20th Euromicro Conference on Digital System Design, DSD 2017 ; Conference Date: 30 August 2017 Through 1 September 2017; Conference Code:130963; International audience; It is largely recognized that the architectures of embedded systems are becoming more and more complex both at hardware and software levels. Despite the significant advances in the development tools, developing the software of such systems while ensuring their safety is still a difficult task. In this paper, we propose an engineering methodology to ease the development of safe software systems. It consists of four main phases: system modelling and validation, code generation and integration, static code analysis, and dynamic code analysis. This methodology is realized using CEA LIST open-source development platforms: Papyrus, Frama-C, and UNISIM-VP. These platforms are results of many research and industrial projects such as FP7-SafeAdapt, FUI-EQUITAS, FP7-STANCE, CATRENE-OpenES, and FSN-SESAM Grids.

Published
2017

8. An Efficient Approach for Multi-tenant Elastic Business Processes Management in Cloud Computing Environment

Author

François Charoy, Guillaume Rosinosky, Samir Youcef, Bonitasoft, Web Scale Trustworthy Collaborative Service Systems (COAST), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Networks, Systems and Services (LORIA - NSS), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), CIFRE Bonitasoft, Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL), and The authors would like to thank Gurobi for the usage of their optimizer, and Amazon Web Services for the EC2 instances credits (this paper is supported by an AWS in Education Research Grant award).

Subjects
Computer science, Business process, 0211 other engineering and technologies, Cloud computing, Multi-tenancy, [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE], 02 engineering and technology, [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI], Utility computing, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.4: Distributed Systems/C.2.4.1: Distributed applications, Elasticity (economics), Multitenancy, 021103 operations research, Management science, business.industry, Bi-criteria optimization, Quality of service, [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Elasticity, [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF], BPM, Risk analysis (engineering), [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], business, Cloud
Abstract

International audience; Even though the proven benefits of cloud computing paradigm, it must face a serious problem that can compromise its commercial success. It concerns the lack of efficient approach for using optimally the available resources. For this, several approaches have been proposed. However,they suffer from several shortcomings. For instance, often only one objective is taken into account expressing all operations in terms of cost. Furthermore, business processes should be insured with elasticity and multitenancy mechanism while adjusting the available resources to the dynamic load distribution. The proposed approach aims to optimize two conflicting objectives, namely the number of migrated tenants and the cost incurred using a set of resources. It allows to take into account the multi-tenancy property and the Cloud computing elasticity, and is efficient as shown by an extensive experimentation based on real data from Bonita BPM customers.

Published
2016

9. ROS-based online robot programming for remote education and training

Author

Enric Cervera, Gustavo A. Casañ, Jaime Alemany, Amine Abou Moughlbay, Philippe Martinet, Robotic Intelligence Lab, Universitat Jaume I, Institut de Recherche en Communications et en Cybernétique de Nantes (IRCCyN), Mines Nantes (Mines Nantes)-École Centrale de Nantes (ECN)-Ecole Polytechnique de l'Université de Nantes (EPUN), Université de Nantes (UN)-Université de Nantes (UN)-PRES Université Nantes Angers Le Mans (UNAM)-Centre National de la Recherche Scientifique (CNRS), and This paper describes research done at the Robotic Intelligence Laboratory, with support in part by Ministerio de Economia y Competitividad (DPI2011-27846), by Generalitat Valenciana (PROMETEOII/2014/028), by Universitat Jaume I (P1-1B2014-52), and by IEEE RAS under a CEMRA grant (Creation of Educational Materials for Robotics and Automation).

Subjects
Flexibility (engineering), Engineering, Multimedia, business.industry, Process (computing), Context (language use), computer.software_genre, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Human–computer interaction, Server, Information system, Code (cryptography), Robot, The Internet, business, computer
Abstract

International audience; RPN (Robotic Programming Network) is an initiative to bring existing remote robot laboratories to a new dimension, by adding the flexibility and power of writing ROS code in an Internet browser and running it in the remote robot with a single click. The code is executed in the robot server at full speed, i.e. without any communication delay, and the output of the process is returned back. Built upon Robot Web Tools, RPN works out-of-the-box in any ROS-based robot or simulator. This paper presents the core functionality of RPN in the context of a web-enabled ROS system, its possibilities for remote education and training, and some experimentation with simulators and real robots in which we have integrated the tool in a Moodle environment, creating some programming courses and make it open to researchers and students (http: //robotprogramming.uji.es).

Published
2015