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Relational joins on graphics processors

Webrelational join algorithms on such GPUs. Joins are the cornerstone operator in relational database systems and CPU-based join algorithms have been studied extensively in the … WebDec 1, 2009 · This article designs a set of highly optimized data-parallel primitives such as split and sort, and uses these primitives to implement common relational query processing algorithms on the GPU, and proposes coprocessing techniques that take into account both the computation resources and the GPU-CPU data transfer cost. Graphics processors …

Relational Query Coprocessing on Graphics Processors

WebJan 8, 2024 · The high level of parallelism and the high memory bandwidth provided by GPUs make them attractive hardware accelerators for Online Analytical Processing [1,2,3,4,5].Over the last decade, a tremendous amount of research effort has been put into accelerating relational operators like hash join using GPUs … WebDec 1, 2024 · Yabuta M Nguyen A Kato S Edahiro M Kawashima H Relational joins on gpus: a closer look IEEE Trans. Parallel Distrib. ... He, B., Lu, S., Lau, C.T.: Revisiting hash join on graphics processors: a decade later. In: 2024 IEEE 35th International Conference on Data Engineering Workshops (ICDEW), pp. 294–299. IEEE (2024) Google Scholar; kcse 2017 mathematics paper 1 marking scheme https://beaumondefernhotel.com

Relational Joins on Graphics Processors - Hong Kong University of …

WebSep 1, 2010 · Relational joins on graphics processors. Bingsheng He, Ke Yang, +4 authors P. Sander; Computer Science. SIGMOD Conference. 2008; TLDR. This work designs a set of data-parallel primitives such as split and sort, and uses these primitives to implement indexed or non-indexed nested-loop, sort-merge and hash joins, and utilizes the high ... WebCiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): We present a novel design and implementation of relational join algorithms for new-generation … WebDec 30, 2008 · Relational Joins on Graphics Processors. Bingshe ng He, Ke Yang #, Rui Fang $, Mian Lu, Naga K. Govind araju *, Qiong L uo, and Pe dro V. S ander. Hong Ko ng … kcse 2018 geography paper 1

Relational Joins on Graphics Processors - HKUST SPD The …

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Relational joins on graphics processors

Relational joins on graphics processors - Semantic Scholar

WebJan 1, 2011 · We present a novel design and implementation of relational join algorithms for new-generation graphics processing units (GPUs). The most recent GPU features include support for writing to random ... WebCPUs, we explore how to map algorithms for relational joins on GPUs. For instance, current GPUs provide parallel lower-clocked execution capabilities on over a hundred processors …

Relational joins on graphics processors

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WebSep 1, 2024 · In this paper, we identify the performance characteristics of GPU computing for relational joins by implementing several well-known GPU-based join algorithms under … WebWe present a novel design and implementation of relational join algorithms for new-generation graphics processing units (GPUs). The most recent GPU features include …

WebJun 9, 2008 · This work designs a set of data-parallel primitives such as split and sort, and uses these primitives to implement indexed or non-indexed nested-loop, sort-merge and … WebJun 9, 2008 · We present a novel design and implementation of relational join algorithms for new-generation graphics processing units (GPUs). The most recent GPU features include support for writing to random memory locations, efficient inter-processor communication, …

WebRelational joins on graphics processors @inproceedings{He2008RelationalJO, title={Relational joins on graphics processors}, author={Bingsheng He and Ke Yang and Rui Fang and Mian Lu and Naga K. Govindaraju and Qiong Luo and Pedro V. Sander}, booktitle={SIGMOD Conference}, year={2008} } WebHome Conferences MOD Proceedings SIGMOD '08 Relational joins on graphics processors. research-article . Share on ...

WebSep 1, 2010 · Abstract and Figures. Query co-processing on graphics processors (GPUs) has become an effective means to improve the performance of main memory databases. However, this co-processing requires the ...

lazy boy harrisburgWebThe k-means clustering and the Apriori frequent pattern mining algorithms have been implemented and preliminary results have shown significant speedups over state-of-the-art CPU implementations on a PC with a G80 GPU and a quad-core CPU. We introduce GPUMiner, a novel parallel data mining system that utilizes new-generation graphics … kcsdraperyfalmouthWebJan 1, 2024 · Relational joins on graphics processors ACM SIGMOD international conference on management of data (2008) B. He et al. Relational query co-processing on graphics processors ACM transactions on database systems (TODS) (2009) W. Fang et al. Database compression on graphics processors. lazy boy harvey normanWebIn the best case, the speedup ratios are up to 6.67 times for non-index joins, 9.41 times for sort index joins, and 2.55 times for hash joins. The execution time of GPU-based … lazy boy hassocksWebIn this paper, we identify the performance characteristics of GPU computing for relational joins by implementing several well-known GPU-based join algorithms under various … lazy boy haven reclinerWebIn-Memory Grid Files on Graphics Processors. ACM SIGMOD Third International Workshop on Data Management on New Hardware 2007. Bingsheng He, Ke Yang, Rui Fang, Mian Lu, Naga K. Govindaraju , Qiong Luo, and Pedro V. Sander. Relational Joins on Graphics Processors. Technical Report HKUST-CS07-06, Department of Computer Science and … lazy boy harrisburg paWebApr 1, 2024 · Experimental results indicate that the speedup ratio of GPU-based relational joins to CPU-based counterparts depends on the number of compute cores, the size of data sets, join conditions, and ... lazy boy havelock nc