A Comparative Study of Programming Environments Exploiting Heterogeneous Systems
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ko, Bongsuk | - |
dc.contributor.author | Han, Seunghun | - |
dc.contributor.author | Park, Yongjun | - |
dc.contributor.author | Jeon, Moongu | - |
dc.contributor.author | Lee, Byeongcheol | - |
dc.date.accessioned | 2022-07-14T03:40:31Z | - |
dc.date.available | 2022-07-14T03:40:31Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2017-05 | - |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/152418 | - |
dc.description.abstract | This paper compares programming environments that exploit heterogeneous systems to process a large amount of data efficiently. Our motivation is to investigate the feasibility of the adaptive, transparent migration of intensive computation for a large amount of data across heterogeneous programming languages and processors for high performance and programmability. We compare a variety of programming environments composed of programming languages, such as Java and C, memory space models, such as distinct and shared memory, and parallel processors, such as general-purpose CPUs and graphics processing units (GPUs) to examine their performance-programmability tradeoffs. In addition, we introduce a software based shared virtual memory that creates a view of the host memory inside GPU kernels to enable seamless computation offloading from the host to the device. This paper reveals a programmability-performance hierarchy in which programs increase their performance at the cost of decreasing programmability. The experimental results suggest the desirability of a well-balanced system. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | A Comparative Study of Programming Environments Exploiting Heterogeneous Systems | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Park, Yongjun | - |
dc.identifier.doi | 10.1109/ACCESS.2017.2708738 | - |
dc.identifier.scopusid | 2-s2.0-85028762763 | - |
dc.identifier.wosid | 000404360000005 | - |
dc.identifier.bibliographicCitation | IEEE ACCESS, v.5, pp.10081 - 10092 | - |
dc.relation.isPartOf | IEEE ACCESS | - |
dc.citation.title | IEEE ACCESS | - |
dc.citation.volume | 5 | - |
dc.citation.startPage | 10081 | - |
dc.citation.endPage | 10092 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordAuthor | Big data processing | - |
dc.subject.keywordAuthor | heterogeneous systems | - |
dc.subject.keywordAuthor | programming environment | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/7935359 | - |
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