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Sampled simulation of task-based programs
dc.contributor.author | Grass, Thomas |
dc.contributor.author | Carlson, Trevor E. |
dc.contributor.author | Rico Carro, Alejandro |
dc.contributor.author | Ceballos, Germán |
dc.contributor.author | Ayguadé Parra, Eduard |
dc.contributor.author | Casas, Marc |
dc.contributor.author | Moretó Planas, Miquel |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
dc.contributor.other | Barcelona Supercomputing Center |
dc.date.accessioned | 2019-03-15T19:14:50Z |
dc.date.available | 2019-03-15T19:14:50Z |
dc.date.issued | 2019-02-01 |
dc.identifier.citation | Grass, T. [et al.]. Sampled simulation of task-based programs. "IEEE transactions on computers", 1 Febrer 2019, vol. 68, núm. 2, p. 255-269. |
dc.identifier.issn | 0018-9340 |
dc.identifier.uri | http://hdl.handle.net/2117/130498 |
dc.description | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works |
dc.description.abstract | Sampled simulation is a mature technique for reducing simulation time of single-threaded programs. Nevertheless, current sampling techniques do not take advantage of other execution models, like task-based execution, to provide both more accurate and faster simulation. Recent multi-threaded sampling techniques assume that the workload assigned to each thread does not change across multiple executions of a program. This assumption does not hold for dynamically scheduled task-based programming models. Task-based programming models allow the programmer to specify program segments as tasks which are instantiated many times and scheduled dynamically to available threads. Due to variation in scheduling decisions, two consecutive executions on the same machine typically result in different instruction streams processed by each thread. In this paper, we propose TaskPoint, a sampled simulation technique for dynamically scheduled task-based programs. We leverage task instances as sampling units and simulate only a fraction of all task instances in detail. Between detailed simulation intervals, we employ a novel fast-forwarding mechanism for dynamically scheduled programs. We evaluate different automatic techniques for clustering task instances and show that DBSCAN clustering combined with analytical performance modeling provides the best trade-off of simulation speed and accuracy. TaskPoint is the first technique combining sampled simulation and analytical modeling and provides a new way to trade off simulation speed and accuracy. Compared to detailed simulation, TaskPoint accelerates architectural simulation with 8 simulated threads by an average factor of 220x at an average error of 0.5 percent and a maximum error of 7.9 percent. |
dc.format.extent | 15 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Informàtica |
dc.subject.lcsh | Computer simulation |
dc.subject.other | Sampled simulation |
dc.subject.other | Task-based |
dc.subject.other | Analytical performance modeling |
dc.title | Sampled simulation of task-based programs |
dc.type | Article |
dc.subject.lemac | Simulació per ordinador |
dc.contributor.group | Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions |
dc.identifier.doi | 10.1109/TC.2018.2860012 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/8424416 |
dc.rights.access | Open Access |
local.identifier.drac | 23661683 |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO//TIN2015-65316-P/ES/COMPUTACION DE ALTAS PRESTACIONES VII/ |
dc.relation.projectid | info:eu-repo/grantAgreement/AGAUR/PRI2010-2013/2014 SGR 1051 |
dc.relation.projectid | info:eu-repo/grantAgreement/AGAUR/PRI2010-2013/2014 SGR 1272 |
dc.relation.projectid | 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 |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/687698/EU/High Performance and Embedded Architecture and Compilation/HiPEAC |
local.citation.author | Grass, T.; Carlson, T.; Rico, A.; Ceballos, G.; Ayguade, E.; Casas, M.; Moreto, M. |
local.citation.publicationName | IEEE transactions on computers |
local.citation.volume | 68 |
local.citation.number | 2 |
local.citation.startingPage | 255 |
local.citation.endingPage | 269 |
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