Name
Title | ||
|---|---|---|
Many-core needs fine-grained scheduling: A case study of query processing on Intel Xeon Phi processors. |
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.jpdc.2017.09.005 | Journal of Parallel and Distributed Computing |
Keywords | Field | DocType |
In-memory query processing,Many-core processor,Fine-grained scheduling | x86,High memory,Computer science,Scheduling (computing),Xeon Phi,Parallel computing,SIMD,Bandwidth (signal processing),Online analytical processing,Multi-core processor | Journal |
Volume | ISSN | Citations |
120 | 0743-7315 | 1 |
PageRank | References | Authors |
0.34 | 24 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xuntao Cheng | 1 | 59 | 6.40 |
| Bingsheng He | 2 | 2810 | 179.09 |
| Mian Lu | 3 | 656 | 29.18 |
| Chiew Tong Lau | 4 | 406 | 35.82 |