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PERCIVAL: Open-source posit RISC-V core with quire capability

dc.contributor.authorMallasén Quintana, David
dc.contributor.authorMurillo Montero, Raúl
dc.contributor.authorDel Barrio García, Alberto Antonio
dc.contributor.authorBotella Juan, Guillermo
dc.contributor.authorPrieto Matías, Manuel
dc.date.accessioned2023-06-22T11:03:53Z
dc.date.available2023-06-22T11:03:53Z
dc.date.issued2022-07
dc.description©2022 This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. This work was supported by a 2020 Leonardo Grant for Researchers and Cultural Creators, from BBVA Foundation, whose id is PR2003 20/01, by the EU(FEDER) and the Spanish MINECO under grant RTI2018-093684-B-I00, and by the CM under grant S2018/TCS-4423.
dc.description.abstractThe posit representation for real numbers is an alternative to the ubiquitous IEEE 754 floating-point standard. In this work, we present PERCIVAL, an application-level posit RISC-V core based on CVA6 that can execute all posit instructions, including the quire fused operations. This solves the obstacle encountered by previous works, which only included partial posit support or which had to emulate posits in software. In addition, Xposit, a RISC-V extension for posit instructions is incorporated into LLVM. Therefore, PERCIVAL is the first work that integrates the complete posit instruction set in hardware. These elements allow for the native execution of posit instructions as well as the standard floating-point ones, further permitting the comparison of these representations. FPGA and ASIC synthesis show the hardware cost of implementing 32-bit posits and highlight the significant overhead of including a quire accumulator. However, results show that the quire enables a more accurate execution of dot products. In general matrix multiplications, the accuracy error is reduced up to 4 orders of magnitude. Furthermore, performance comparisons show that these accuracy improvements do not hinder their execution, as posits run as fast as single-precision floats and exhibit better timing than double-precision floats, thus potentially providing an alternative representation.
dc.description.departmentSección Deptal. de Arquitectura de Computadores y Automática (Físicas)
dc.description.facultyFac. de Ciencias Físicas
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Ciencia e Innovación (MICINN) / FEDER
dc.description.sponsorshipComunidad de Madrid
dc.description.sponsorshipFundación BBVA
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/74813
dc.identifier.doi10.1109/TETC.2022.3187199
dc.identifier.issn2168-6750
dc.identifier.officialurlhttp://dx.doi.org/10.1109/TETC.2022.3187199
dc.identifier.relatedurlhttps://ieeexplore.ieee.org/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/72064
dc.issue.number3
dc.journal.titleIEEE transactions on emerging topics in computing
dc.language.isoeng
dc.page.final1252
dc.page.initial1241
dc.publisherIEEE Institute of Electrical and Electronics Engineers
dc.relation.projectIDRTI2018-093684-B-I00
dc.relation.projectIDCABAHLA-CM (S2018/TCS-4423)
dc.relation.projectIDLeonardo (PR2003 20/01)
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.cdu004.8
dc.subject.keywordStandards
dc.subject.keywordHardware
dc.subject.keywordOpen area test sites
dc.subject.keywordArithmetic
dc.subject.keywordOpen source software
dc.subject.keywordRegisters
dc.subject.keywordField programmable gate arrays
dc.subject.keywordPosit
dc.subject.keywordIEEE-754
dc.subject.keywordFloating point
dc.subject.keywordRISC-V
dc.subject.keywordCPU
dc.subject.keywordCVA6
dc.subject.keywordLLVM
dc.subject.keywordMatrix multiplication
dc.subject.ucmInteligencia artificial (Informática)
dc.subject.unesco1203.04 Inteligencia Artificial
dc.titlePERCIVAL: Open-source posit RISC-V core with quire capability
dc.typejournal article
dc.volume.number10
dspace.entity.typePublication
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relation.isAuthorOfPublicationd08b5d10-697d-4104-9cb1-1fc7db6ecec6
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relation.isAuthorOfPublication.latestForDiscovery067c0c14-77ee-44bc-9133-2905f3678b6d

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