자료유형 | 학위논문 |
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서명/저자사항 | FPGA Acceleration of High Performance Computing Communication Middleware. |
개인저자 | Xiong, Qingqing. |
단체저자명 | Boston University. Electrical & Computer Engineering ENG. |
발행사항 | [S.l.]: Boston University., 2019. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
형태사항 | 204 p. |
기본자료 저록 | Dissertations Abstracts International 81-04B. Dissertation Abstract International |
ISBN | 9781687999368 |
학위논문주기 | Thesis (Ph.D.)--Boston University, 2019. |
일반주기 |
Source: Dissertations Abstracts International, Volume: 81-04, Section: B.
Advisor: Herbordt, Martin C. |
이용제한사항 | This item must not be sold to any third party vendors. |
요약 | High-Performance Computing (HPC) necessarily requires computing with a large number of nodes. As computing technology progresses, internode communication becomes an ever more critical performance blocker. The execution time of software communication support is generally critical, often accounting for hundreds of times the latency of actual time-of-flight. This software support comes in two types. The first is support for core functions as defined in middleware such as the ubiquitous Message Passing Interface (MPI). Over the last decades this software overhead has been addressed through a number of advances such as eliminating data copies, improving drivers, and bypassing the operating system. However an essential core still remains, including message matching, data marshaling, and handling collective operations. The second type of communication support is for new services not inherently part of the middleware. The most prominent of these is compression |
일반주제명 | Computer engineering. |
언어 | 영어 |
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