Publication: Boxlib with tiling: an adaptive mesh refinement software framework
dc.contributor.coauthor | Zhang, W. | |
dc.contributor.coauthor | Almgren, A. | |
dc.contributor.coauthor | Day, M. | |
dc.contributor.coauthor | Nguyen, T. | |
dc.contributor.coauthor | Shalf, J. | |
dc.contributor.department | Department of Computer Engineering | |
dc.contributor.kuauthor | Erten, Didem Unat | |
dc.contributor.kuprofile | Faculty Member | |
dc.contributor.other | Department of Computer Engineering | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.contributor.yokid | 219274 | |
dc.date.accessioned | 2024-11-09T11:42:53Z | |
dc.date.issued | 2016 | |
dc.description.abstract | In this paper we introduce a block-structured adaptive mesh refinement software framework that incorporates tiling, a well-known loop transformation. Because the multiscale, multiphysics codes built in boxlib are designed to solve complex systems at high resolution, performance on current and next generation architectures is essential. With the expectation of many more cores per node on next generation architectures, the ability to effectively utilize threads within a node is essential, and the current model for parallelization will not be sufficient. We describe a new version of boxlib in which the tiling constructs are embedded so that boxlib-based applications can easily realize expected performance gains without extra effort on the part of the application developer. We also discuss a path forward to enable future versions of boxlib to take advantage of NUMA-aware optimizations using the tida portable library. | |
dc.description.fulltext | YES | |
dc.description.indexedby | WoS | |
dc.description.indexedby | Scopus | |
dc.description.issue | 5 | |
dc.description.openaccess | YES | |
dc.description.publisherscope | International | |
dc.description.sponsoredbyTubitakEu | TÜBİTAK | |
dc.description.sponsoredbyTubitakEu | EU | |
dc.description.sponsorship | Exascale Co-Design Program of the DOE Office of Advanced Scientific Computing Research under U.S. Department of Energy | |
dc.description.sponsorship | Office of Science of the U.S. Department of Energy | |
dc.description.sponsorship | Scientific and Technological Research Council of Turkey (TÜBİTAK) | |
dc.description.sponsorship | Marie Sklodowska Curie Reintegration Grant by the European Commission | |
dc.description.sponsorship | SciDAC Program | |
dc.description.version | Publisher version | |
dc.description.volume | 38 | |
dc.format | ||
dc.identifier.doi | 10.1137/15m102616x | |
dc.identifier.eissn | 1095-7197 | |
dc.identifier.embargo | NO | |
dc.identifier.filenameinventoryno | IR00431 | |
dc.identifier.issn | 1064-8275 | |
dc.identifier.link | https://doi.org/10.1137/15m102616x | |
dc.identifier.quartile | N/A | |
dc.identifier.scopus | 2-s2.0-84994174432 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/270 | |
dc.identifier.wos | 387347700010 | |
dc.keywords | High-performance computing | |
dc.keywords | Software framework | |
dc.keywords | Tiling | |
dc.keywords | Ia Supernovae | |
dc.keywords | Radiation hydrodynamics | |
dc.keywords | Complex chemistry | |
dc.keywords | Castro | |
dc.keywords | Flows | |
dc.keywords | Simulation | |
dc.keywords | Algorithm | |
dc.keywords | Evolution | |
dc.keywords | Code | |
dc.language | English | |
dc.publisher | Society for Industrial and Applied Mathematics (SIAM) | |
dc.relation.grantno | DE-AC02-05CH11231 | |
dc.relation.grantno | DE-AC02-05CH11231 | |
dc.relation.grantno | 215E285 | |
dc.relation.uri | http://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/418 | |
dc.source | SIAM Journal on Scientific Computing | |
dc.subject | Applied mathematics | |
dc.title | Boxlib with tiling: an adaptive mesh refinement software framework | |
dc.type | Journal Article | |
dspace.entity.type | Publication | |
local.contributor.authorid | 0000-0002-2351-0770 | |
local.contributor.kuauthor | Erten, Didem Unat | |
relation.isOrgUnitOfPublication | 89352e43-bf09-4ef4-82f6-6f9d0174ebae | |
relation.isOrgUnitOfPublication.latestForDiscovery | 89352e43-bf09-4ef4-82f6-6f9d0174ebae |
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