Enhancing Scalability In Best-Effort Hardware Transactional Memory Systems

dc.centroE.T.S.I. Informáticaes_ES
dc.contributor.authorQuislant-del-Barrio, Ricardo
dc.contributor.authorGutiérrez-Carrasco, Eladio Damián
dc.contributor.authorLópez-Zapata, Emilio
dc.contributor.authorPlata-González, Óscar Guillermo
dc.date.accessioned2024-09-25T17:56:48Z
dc.date.available2024-09-25T17:56:48Z
dc.date.issued2017
dc.departamentoArquitectura de Computadores
dc.description.abstractCurrent industry proposals for hardware transactional memory focus on best-effort solutions where hardware limits are imposed on transactions. These designs can efficiently execute transactions but they may abort due to different hardware and operating system limitations, with a significant impact on performance. For instance, transactions cannot survive capacity overflows, exceptions, interrupts, operating system events like page faults, migrations, context switches, and so on. To deal with these events, best-effort hardware transactional memory systems usually provide a software fallback path to execute a non-transactional version of the code. In this paper we propose hardware implementation solutions to make transactions survive some of such limitations, in order to improve the performance and scalability of transactional applications in best-effort systems. First, we propose a hardware irrevocability mechanism that works either when hardware capacity overflows occur or in high contention scenarios. It anticipates capacity overflows and reduces the abort count. This mechanism avoids writing a fallback code, simplifying the programming of the transactional application. Second, we propose a two-phase abort mechanism to support both the execution of privileged mode code inside transactions and the interaction of this code with the irrevocability mechanism. Third, we propose a privileged-aware cache replacement policy to reduce capacity overflows in the presence of privileged code. We evaluate our proposals with all the benchmarks of the STAMP transactional suite and carry out a performance comparison with a fallback-based hardware transactional memory system, after considering different fallback codes, showing significant performance benefits for requester-wins and requester-stalls conflict resolution policies.es_ES
dc.identifier.citationRicardo Quislant; Eladio Gutierrez; Emilio L. Zapata; Oscar Plata. Enhancing Scalability In Best-Effort Hardware Transactional Memory Systems. Journal of Parallel and Distributed Computing. 104, pp. 73 - 87. 2017.es_ES
dc.identifier.doi10.1016/j.jpdc.2017.01.002
dc.identifier.urihttps://hdl.handle.net/10630/33329
dc.language.isospaes_ES
dc.publisherElsevieres_ES
dc.rights.accessRightsopen accesses_ES
dc.subjectSoporte lógicoes_ES
dc.subject.otherHardware transactional memoryes_ES
dc.subject.otherBest-effortes_ES
dc.subject.otherIrrevocabilityes_ES
dc.subject.otherPrivileged mode codees_ES
dc.subject.otherCache replacement policyes_ES
dc.subject.otherRequester-winses_ES
dc.subject.otherRequester-stallses_ES
dc.titleEnhancing Scalability In Best-Effort Hardware Transactional Memory Systemses_ES
dc.typejournal articlees_ES
dc.type.hasVersionSMURes_ES
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscoveryc6edf3ab-5134-4c07-943b-bfca90d13f34

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