Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/141470
Title: Many-core needs fine-grained scheduling : a case study of query processing on Intel Xeon Phi processors
Authors: Cheng, Xuntao
He, Bingsheng
Lu, Mian
Lau, Chiew Tong
Keywords: Engineering::Computer science and engineering
Issue Date: 2017
Source: Cheng, X., He, B., Lu, M., & Lau, C. T. (2018). Many-core needs fine-grained scheduling : a case study of query processing on Intel Xeon Phi processors. Journal of Parallel and Distributed Computing, 120, 395-404. doi:10.1016/j.jpdc.2017.09.005
Journal: Journal of Parallel and Distributed Computing
Abstract: Emerging many-core processors feature very high memory bandwidth and computational power. For example, Intel Xeon Phi many-core processors of the Knights Corner (KNC) and Knights Landing (KNL) architectures embrace 60 to 64 x86-based CPU cores with 512-bit SIMD capabilities and high-bandwidth memories like the GDDR5 on KNC and on-package DRAMs on KNL. In this paper, we study the performance main-memory database operators and online analytical processing (OLAP) on such many-core architectures. We find that even the state-of-the-art database operators suffer severely from memory stalls and resource underutilization on those many-core processors. We argue that a software approach decomposing a coarse-grained operator into fine-grained phases and executing two independent phases with complementary resource requirements concurrently can address this problem. This approach allows more fine-grained control of resource utilization. Our experiments demonstrate significant performance gain and high resource utilization achieved by our proposed approaches on both KNC and KNL.
URI: https://hdl.handle.net/10356/141470
ISSN: 0743-7315
DOI: 10.1016/j.jpdc.2017.09.005
Rights: © 2017 Elsevier Inc. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:IGS Journal Articles

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