2026-04-17T13:09:26Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/966412026-02-07T09:20:52Zcom_2072_1033col_2072_452950

POSTER: Exploiting asymmetric multi-core processors with flexible system sofware Chronaki, Kallia Moretó Planas, Miquel Casas, Marc Rico, Alejandro Badia Sala, Rosa Maria Ayguadé Parra, Eduard Labarta Mancho, Jesús José Valero Cortés, Mateo Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors Barcelona Supercomputing Center Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors High performance computing -- Energy conservation Energy conservation Energy efficiency Memory architecture Parallel architectures Parallel processing systems Scheduling Cache coherence Dynamic scheduling Efficient scheduling High performance computin (HPC) Memory consistency Multi-core processor Multicore architectures Parallel application Càlcul intensiu (Informàtica) -- Estalvi d'energia Energy efficiency has become the main challenge for high performance computing (HPC). The use of mobile asymmetric multi-core architectures to build future multi-core systems is an approach towards energy savings while keeping high performance. However, it is not known yet whether such systems are ready to handle parallel applications. This paper fills this gap by evaluating emerging parallel applications on an asymmetric multi-core. We make use of the PARSEC benchmark suite and a processor that implements the ARM big.LITTLE architecture. We conclude that these applications are not mature enough to run on such systems, as they suffer from load imbalance. Furthermore, we explore the behaviour of dynamic scheduling solutions on either the Operating System (OS) or the runtime level. Comparing these approaches shows us that the most efficient scheduling takes place in the runtime level, influencing the future research towards such solutions. This work has been supported by the Spanish Government (SEV2015-0493), by the Spanish Ministry of Science and Innovation (contracts TIN2015-65316-P), by Generalitat de Catalunya (contracts 2014-SGR-1051 and 2014-SGR-1272), by the RoMoL ERC Advanced Grant (GA 321253) and the European HiPEAC Network of Excellence. The Mont-Blanc project receives funding from the EU's Seventh Framework Programme (FP7/2007-2013) under grant agreement number 610402 and from the EU's H2020 Framework Programme (H2020/2014-2020) under grant agreement number 671697. M. Moretó has been partially supported by the Ministry of Economy and Competitiveness under Juan de la Cierva postdoctoral fellowship number JCI-2012-15047. M. Casas is supported by the Secretary for Universities and Research of the Ministry of Economy and Knowledge of the Government of Catalonia and the Cofund programme of the Marie Curie Actions of the 7th R&D Framework Programme of the European Union (Contract 2013 BP B 00243). Peer Reviewed Postprint (author's final draft) 2016 Conference lecture Chronaki, K., Moreto, M., Casas, M., Rico, A., Badia, R.M., Ayguadé, E., Labarta, J., Valero, M. POSTER: Exploiting asymmetric multi-core processors with flexible system sofware. A: International Conference on Parallel Architectures and Compilation Techniques. "PACT '16: Proceedings of the 2016 International Conference on Parallel Architectures and Compilation". Haifa: Association for Computing Machinery (ACM), 2016, p. 415-417. 978-1-4503-4121-9 https://hdl.handle.net/2117/96641 10.1145/2967938.2976038 eng http://dl.acm.org/citation.cfm?doid=2967938.2976038 info:eu-repo/grantAgreement/MINECO//TIN2015-65316-P/ES/COMPUTACION DE ALTAS PRESTACIONES VII/ info:eu-repo/grantAgreement/EC/FP7/610402/EU/Mont-Blanc 2, European scalable and power efficient HPC platform based on low-power embedded technology/MONT-BLANC 2 info:eu-repo/grantAgreement/EC/FP7/321253/EU/Riding on Moore's Law/ROMOL info:eu-repo/grantAgreement/EC/H2020/671697/EU/Mont-Blanc 3, European scalable and power efficient HPC platform based on low-power embedded technology/Mont-Blanc 3 Open Access 3 p. application/pdf Association for Computing Machinery (ACM)