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Optimization Algorithms for Design Space Exploration of Embedded Systems [chapter]

Enrico Rigoni, Carlos Kavka, Alessandro Turco, Gianluca Palermo, Cristina Silvano, Vittorio Zaccaria, Giovanni Mariani
2011 Multi-objective Design Space Exploration of Multiprocessor SoC Architectures  
Multi-objective exploration of the huge design space of next generation multi/many core architectures needs for Automatic Design Space Exploration techniques to systematically explore the design choices  ...  The state-of-the art lacks of a Design Space Exploration (DSE) framework to help the designer in the automatic selection of the most suitable system configuration for a certain application given a set  ...  Chapter 3 presents the optimization algorithms developed in the MULTICUBE project for Design Space Exploration of embedded computing systems.  ... 
doi:10.1007/978-1-4419-8837-9_3 fatcat:jprld4pwfzcgrfrvx7ayu5k5wu

Keynote: "Design space exploration and run-time resource management in the embedded multi-core era"

Vittorio Zaccaria
2012 2012 IEEE 10th Symposium on Embedded Systems for Real-time Multimedia  
He introduced new techniques for processor optimization and exploration (10x reduction in time, less than 1% error w.r.t. ideal) and led teams of engineers to prototype research tools for design space  ...  I am going then to describe how sophisticated algorithms based on response-surface prediction models can efficiently identify optimal configurations in a significant number of platform optimization scenarios  ...  He introduced new techniques for processor optimization and exploration (10x reduction in time, less than 1% error w.r.t. ideal) and led teams of engineers to prototype research tools for design space  ... 
doi:10.1109/estimedia.2012.6507017 dblp:conf/estimedia/Zaccaria12 fatcat:pp3ku2ihi5ed3lvzrjypbsxexm

An efficient design space exploration methodology for multiprocessor SoC architectures based on response surface methods

Gianluca Palermo, Cristina Silvano, Vittorio Zaccaria
2008 2008 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation  
In this paper, an efficient DSE methodology is proposed leveraging traditional Design of Experiments (DoE) and Response Surface Modeling (RSM) techniques.  ...  The design space for an MPSoC architecture is too large to be evaluated comprehensively.  ...  Response Surface Methods We present here the RSMs used for the construction of our efficient design space exploration methodology.  ... 
doi:10.1109/icsamos.2008.4664858 dblp:conf/samos/PalermoSZ08 fatcat:ygunzgd5lferhkhiyoljumqfte

A Variability-Aware Robust Design Space Exploration Methodology for On-Chip Multiprocessors Subject to Application-Specific Constraints

Gianluca Palermo, Cristina Silvano, Vittorio Zaccaria
2012 ACM Transactions on Embedded Computing Systems  
First, we apply Response Surface Modeling (RSM) techniques to enable an efficient evaluation of the statistical measures of execution time and energy consumption for each system configuration.  ...  In the context of a design space exploration framework for supporting the platform-based design approach, we address the problem of robustness with respect to manufacturing process variations.  ...  RESPONSE SURFACE MODELING TECHNIQUES In this article, we propose an efficient design space exploration strategy leveraging randomized design of experiments (DoE) and linear response surface modeling (  ... 
doi:10.1145/2220336.2220341 fatcat:pi6j64oy3jaozklnhzxz2fkknu

Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples [article]

Angie Boggust, Brandon Carter, Arvind Satyanarayan
2022 arXiv   pre-print
In response, we present the Embedding Comparator, an interactive system that presents a global comparison of embedding spaces alongside fine-grained inspection of local neighborhoods.  ...  It systematically surfaces points of comparison by computing the similarity of the k-nearest neighbors of every embedded object between a pair of spaces.  ...  In response, we present the Embedding Comparator, an interactive system for analyzing a pair of embedding models.  ... 
arXiv:1912.04853v3 fatcat:zfool6r745hlpef4nu7tl3gxi4

Thermal response of energy soldier pile walls

Yu Zhong, Guillermo Narsilio, Nikolas Makasis, Zhangshun Li, Gregorious Aditya, J.S. McCartney, I. Tomac
2020 E3S Web of Conferences  
To further explore this impact of excavation depth (or pile embedment depth) and the long-term thermal performance of energy pile walls, a detailed 3D finite element numerical model is developed in COMSOL  ...  Utilising foundation systems as heat exchangers has received significant public interest worldwide, as these energy geo-structures can constitute a clean, renewable, and economical solution for space heating  ...  Melbourne for carrying out the pilot energy wall project.  ... 
doi:10.1051/e3sconf/202020506003 fatcat:fufspzcqbvbsrgurqa54bhkmsi

Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper

Luigi Nardi, Bruno Bodin, Sajad Saeedi, Emanuele Vespa, Andrew J. Davison, Paul H. J. Kelly
2017 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)  
In previous work, we showed for the first time that it is possible to map this application to power constrained embedded systems, highlighting that decision choices made at the algorithmic design-level  ...  The goal of this exploration is to reduce execution time while meeting our quality of result objectives.  ...  We thank the PAMELA Steering Group for the useful discussions. We also thank the various students that contributed to this project, in particular Denise Carroll and Alfonso White.  ... 
doi:10.1109/ipdpsw.2017.107 dblp:conf/ipps/NardiBSVDK17 fatcat:dyu25pkxqrabfbn3subrsetxou

Autonomic Management of Reconfigurations in DPR FPGA-based Embedded System

Soguy Mak-Kare Gueye, Eric Rutten, Jean-Philippe Diguet
2018 2018 International Conference on High Performance Computing & Simulation (HPCS)  
He currently works on the modelbased control of adaptive and reconfigurable computing systems, using techniques from Control Theory, and ranging from embedded systems, to Cloud distributed systems and  ...  BIOGRAPHIES ERIC RUTTEN, PhD 1990 and Hab. 1999 at University of Rennes, France, works at INRIA in Grenoble, in the field of Autonomic Computing.  ...  We will exploit modularity supported by Heptagon/BZR [5] to control complex DPR FPGA architectures for scalability of design space exploration.  ... 
doi:10.1109/hpcs.2018.00093 dblp:conf/ieeehpcs/GueyeRD18 fatcat:jz4sstlsnjettembtpa5octk4u

Designing Architectural Morphing Skins with Elastic Modular Systems

Chin Koi Khoo, Flora Salim, Jane Burry
2011 International Journal of Architectural Computing  
to serve two fundamental purposes: Comfort and Communication.These experimental prototypes explore the use of digital and physical computation embedded in form-changing materials to design architectural  ...  joints, components, and systems for actuation and kinetic transformation.  ...  funded by Australia Postgraduate Award (APA) and carried out at the Spatial Information Architecture Laboratory (SIAL), RMIT University, Melbourne.The authors would like to thank Professor Mark Burry for  ... 
doi:10.1260/1478-0771.9.4.397 fatcat:sgg4eioz7jbvxbfahssoyhvoii

MULTICUBE: Multi-Objective Design Space Exploration of Multi-Core Architectures [chapter]

Cristina Silvano, William Fornaciari, Gianluca Palermo, Vittorio Zaccaria, Fabrizio Castro, Marcos Martinez, Sara Bocchio, Roberto Zafalon, Prabhat Avasare, Geert Vanmeerbeeck, Chantal Ykman-Couvreur, Maryse Wouters (+11 others)
2011 Lecture Notes in Electrical Engineering  
The main goal of the MULTICUBE project consists of the definition of an automatic Design Space Exploration framework to support the design of next generation many-core architectures 1 . 444!222  ...  Technology trends enable the integration of many processor cores in a System-on-Chip (SoC).  ...  Response surface modeling To further increase the efficiency of the exploration process, Response Surface Modeling (RSM) techniques have been introduced in the project.  ... 
doi:10.1007/978-94-007-1488-5_4 fatcat:omaeyuil65c6vbxnnhpmjshf3a

Experimental and Numerical Investigation of Design Parameters for Hydronic Embedded Thermally Active Surfaces

Victor Marcos-Meson, Michal Z. Pomianowski, Søren E. Poulsen
2015 Energy Procedia  
This paper evaluates the principal design parameters affecting the thermal performance of embedded hydronic Thermally Active Surfaces (TAS), combining the Response Surface Method (RSM) with the Finite  ...  This study reveals a large impact of the panel thermal conductivity on the thermal performance of embedded TAS, and the experiments indicate a large potential for utilizing concrete with high thermal conductivity  ...  Conclusion This study combines the FEM and the RSM, to explore the influence of the main design parameters affecting the thermal performance of embedded hydronic TAS.  ... 
doi:10.1016/j.egypro.2015.11.297 fatcat:x3bylc35k5hy7kj3z3qcdgdh4q

Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper [article]

Luigi Nardi, Bruno Bodin, Sajad Saeedi, Emanuele Vespa, Andrew J. Davison, Paul H. J. Kelly
2017 arXiv   pre-print
In previous work we showed for the first time that it is possible to map this application to power constrained embedded systems, highlighting that decision choices made at the algorithmic design-level  ...  The goal of this exploration is to reduce execution time while meeting our quality of result objectives.  ...  We thank the PAMELA Steering Group for the useful discussions. We also thank the various students that contributed to this project, in particular Denise Carroll and Alfonso White.  ... 
arXiv:1702.00505v2 fatcat:jxulcuh76vfjhhnp52vzmrfb4i

Analyzing heuristic performance with response surface models

Enda Ridge, Daniel Kudenko
2007 Proceedings of the 9th annual conference on Genetic and evolutionary computation - GECCO '07  
Response Surface Models (RSM) of the solution quality and solution time predicted ACS performance on both new instances from a publicly available problem generator and new real-world instances from the  ...  This research uses a Design of Experiments (DOE) approach to build a predictive model of the performance of a combinatorial optimization heuristic over a range of heuristic tuning parameter settings and  ...  PREDICTIONS AND OPTIMISATION Satisfied with the model, we can begin to explore its relationships and move to the region of the design space that optimizes the responses.  ... 
doi:10.1145/1276958.1276979 dblp:conf/gecco/RidgeK07 fatcat:yxpxtuug6fd4jehvzz3mll6zeq

Designing a tangible tabletop installation and enacting a socioenactive experience with TangiTime

Yusseli Lizeth Méndez Mendoza, M. Cecília C. Baranauskas
2021 Journal of the Brazilian Computer Society  
Our study is illustrated with the design and usage experience of TangiTime: a tangible tabletop system proposed for an educational exhibit.  ...  In this work, we draw on concepts of enactivism and enactive systems to investigate interaction and experience in the context of the ubiquity of computational systems.  ...  Authors' contributions All authors were involved in design, coordination, and evaluation of the study. All authors read and approved the final version for submission.  ... 
doi:10.1186/s13173-021-00112-y fatcat:xynecl44c5hdfh7v7sj2fvn7ly

An Efficient Design Space Exploration Methodology for On-Chip Multiprocessors Subject to Application-Specific Constraints

Gianluca Palermo, Cristina Silvano, Vittorio Zaccaria
2008 2008 Symposium on Application Specific Processors  
The methodology combines Design of Experiments (DoEs) and Response Surface Modeling (RSM) techniques to a new technique for handling systemlevel constraints.  ...  This optimization phase is called Design Space Exploration (DSE) and it generally consists of a Multi-Objective Optimization (MOO) problem with multiple constraints.  ...  The response surface model generates the design spaceŜ 1 composed of a set of estimated measurements.  ... 
doi:10.1109/sasp.2008.4570789 dblp:conf/sasp/PalermoSZ08 fatcat:ta2aju3fffebheefdjohszxrpq
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