63560 20201009175923.0 doi 10.1109/TCIAIG.2016.2604923 sideral 103142 ART-2017-103142 eng (orcid)0000-0002-7752-8714 Olivito, Javier Accelerating board games through Hardware/Software Codesign 2017 Access copy available to the general public Unrestricted Board games applications usually offer a great user experience when running on desktop computers. Powerful high-performance processors working without energy restrictions successfully deal with the exploration of large game trees, delivering strong play to satisfy demanding users. However, nowadays, more and more game players are running these games on smartphones and tablets, where the lower computational power and limited power budget yield a much weaker play. Recent systems-on-a-chip include programmable logic tightly coupled with general-purpose processors enabling the inclusion of custom accelerators for any application to improve both performance and energy efficiency. In this paper, we analyze the benefits of partitioning the artificial intelligence of board games into software and hardware. We have chosen as case studies three popular and complex board games, Reversi, Blokus, and Connect6. The designs analyzed include hardware accelerators for board processing, which improve performance and energy efficiency by an order of magnitude leading to much stronger and battery-aware applications. The results demonstrate that the use of hardware/software codesign to develop board games allows sustaining or even improving the user experience across platforms while keeping power and energy low. info:eu-repo/grantAgreement/ES/DGA/T48 info:eu-repo/grantAgreement/ES/MINECO/TIN2013-46957-C2-1-P info:eu-repo/grantAgreement/ES/MINECO/TIN2014-52608-REDC info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 0.897 2017 COMPUTER SCIENCE, SOFTWARE ENGINEERING 80 / 104 = 0.769 2017 Q4 T3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 103 / 132 = 0.78 2017 Q4 T3 0.493 2017 Artificial Intelligence 2017 Q2 Software 2017 Q2 Electrical and Electronic Engineering 2017 Q2 Control and Systems Engineering 2017 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion (orcid)0000-0002-7532-2720 Resano Ezcaray, Javier Universidad de Zaragoza (orcid)0000-0001-5940-9837 Briz Velasco, José Luis Universidad de Zaragoza 5007 035 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Arquit.Tecnología Comput. 9, 4 (2017), 393-401 IEEE trans. comput.intell. AI games IEEE transactions on computational intelligence and AI in games 1943-068X 898012 http://zaguan.unizar.es/record/63560/files/texto_completo.pdf Postprint 162777 http://zaguan.unizar.es/record/63560/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:63560 articulos driver 2020-10-09-17:46:49 ARTICLE