자료유형 | 학위논문 |
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서명/저자사항 | Locality Optimizations for Regular and Irregular Applications. |
개인저자 | Rajbhandari, Samyam. |
단체저자명 | The Ohio State University. Computer Science and Engineering. |
발행사항 | [S.l.]: The Ohio State University., 2016. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2016. |
형태사항 | 274 p. |
기본자료 저록 | Dissertation Abstracts International 80-01B(E). Dissertation Abstract International |
ISBN | 9780438309999 |
학위논문주기 | Thesis (Ph.D.)--The Ohio State University, 2016. |
일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Adviser: P. Sadayappan. |
요약 | The fastest supercomputer in the world as of July 2016 is the Sunway TaihuLight. It can achieve a staggering performance of 93 PetaFlops. This incredible performance is achieved via massive parallelism. Today's supercomputers and compute cluster |
요약 | Scaling on these massively parallel systems is not an easy task. A major performance and scalability bottleneck is the limited data movement bandwidth, which can be orders of magnitude smaller than the computation bandwidth. Developing applicati |
요약 | This dissertation explores multiple aspects of locality optimizations for enhancing scalability and performance of various regular and irregular applications on massively parallel computing environment. It develops distributed algorithms, lower |
요약 | To be specific, on a massively parallel system, distributed Tensor Contractions can have limited scalability due to the cost of communication between distributed memory nodes. The Four-Index Transform, on the other hand, can be limited in the si |
요약 | This thesis develops solutions primarily for reducing the aforementioned data movement costs. The solutions developed in this thesis improves performance and scalability of the above mentioned computations resulting in overall speedups ranging f |
일반주제명 | Computer science. Computer engineering. |
언어 | 영어 |
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