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PAMS: pattern aware memory system for embedded systems
dc.contributor.author | Hussain, Tassadaq |
dc.contributor.author | Sönmez, Nehir |
dc.contributor.author | Palomar Pérez, Óscar |
dc.contributor.author | Unsal, Osman Sabri |
dc.contributor.author | Cristal Kestelman, Adrián |
dc.contributor.author | Ayguadé Parra, Eduard |
dc.contributor.author | Valero Cortés, Mateo |
dc.contributor.author | Gursal, Shakaib A. |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
dc.contributor.other | Barcelona Supercomputing Center |
dc.date.accessioned | 2015-04-17T17:45:05Z |
dc.date.created | 2015 |
dc.date.issued | 2015 |
dc.identifier.citation | Hussain, T. [et al.]. PAMS: pattern aware memory system for embedded systems. A: International Conference on ReConFigurable Computing and FPGAs. "2014 International Conference on Reconfigurable Computing and FPGAs (ReConFig14): Cancun, Mexico: December 8-10, 2014". Cancun: Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 1-7. |
dc.identifier.isbn | 978-1-4799-5943-3 |
dc.identifier.uri | http://hdl.handle.net/2117/27444 |
dc.description.abstract | In this paper, we propose a hardware mechanism for embedded multi-core memory system called Pattern Aware Memory System (PAMS). The PAMS supports static and dynamic data structures using descriptors and specialized memory and reduces area, cost, energy consumption and hit latency. When compared with a Baseline Memory System, the PAMS consumes between 3 and 9 times and 1.13 and 2.66 times less program memory for static and dynamic data structures respectively. The benchmarking applications (having static and dynamic data structures) results show that PAMS consumes 20% less hardware resources, 32% less on chip power and achieves a maximum speedup of 52x and 2.9x for static and dynamic data structures respectively. The results show that the PAMS multi-core system transfers data structures up to 4.65x faster than the MicroBlaze baseline system. |
dc.description.sponsorship | The research leading to these results has received funding from the European Research Council under the European Unions 7th FP (FP/2007-2013) / ERC GA n. 321253. It has been partially funded by the Spanish Government (TIN2014-34557). The authors would like to thank the Barcelona Supercom- puting Center and the Unal Center of Education Research and Development (UCERD) for their support. |
dc.format.extent | 7 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Hardware |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Emmagatzematge i recuperació de la informació |
dc.subject.lcsh | Memory management (Computer science) |
dc.subject.other | Data structures |
dc.subject.other | Embedded systems |
dc.subject.other | Multiprocessing systems |
dc.subject.other | Storage management |
dc.title | PAMS: pattern aware memory system for embedded systems |
dc.type | Conference report |
dc.subject.lemac | Gestió de memòria (Informàtica) |
dc.contributor.group | Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions |
dc.identifier.doi | 10.1109/ReConFig.2014.7032544 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7032544 |
dc.rights.access | Open Access |
local.identifier.drac | 15430710 |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/FP7/321253/EU/Riding on Moore's Law/ROMOL |
dc.date.lift | 10000-01-01 |
local.citation.author | Hussain, T.; Sonmez, N.; Palomar, O.; Unsal, O.; Cristal, A.; Ayguade, E.; Valero, M.; Gursal, S. |
local.citation.contributor | International Conference on ReConFigurable Computing and FPGAs |
local.citation.pubplace | Cancun |
local.citation.publicationName | 2014 International Conference on Reconfigurable Computing and FPGAs (ReConFig14): Cancun, Mexico: December 8-10, 2014 |
local.citation.startingPage | 1 |
local.citation.endingPage | 7 |