Parallel Algorithm for Spatial Data Mining Using CUDA

Oh, Byoung-Woo

doi:10.14801/jaitc.2019.9.2.89

Cited by 9 publications

(1 citation statement)

References 13 publications

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“…The experimental results depict its amazing speedup of 116 compared to the current method BiBit having 16 CPU cores and three NVIDIA K20 GPUs. GPU based CUDA processing architectures for spatial data mining is discussed in [33]. The spatial data here consists of spatial and non-spatial attributes.…”

Section: Acceleration In Big Datamentioning

confidence: 99%

Cloud Big Data Mining and Analytics: Bringing Greenness and Acceleration in the Cloud

Barua¹,

Mondal²

2021

Preprint

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Big data is gaining overwhelming attention since the last decade. Almost all the fields of science and technology have experienced a considerable impact from it. The cloud computing paradigm has been targeted for big data processing and mining in a more efficient manner using the plethora of resources available from computing nodes to efficient storage. Cloud data mining introduces the concept of performing data mining and analytics of huge data in the cloud availing the cloud resources. But can we do better? Yes, of course! The main contribution of this chapter is the identification of four game-changing technologies for the acceleration of computing and analysis of data mining tasks in the cloud. Graphics Processing Units can be used to further accelerate the mining or analytic process, which is called GPU accelerated analytics. Further, Approximate Computing can also be introduced in big data analytics for bringing efficacy in the process by reducing time and energy and hence facilitating greenness in the entire computing process. Quantum Computing is a paradigm that is gaining pace in recent times which can also facilitate efficient and fast big data analytics in very little time. We have surveyed these three technologies and established their importance in big data mining with a holistic architecture by combining these three gamechangers with the perspective of big data. We have also talked about another future technology, i.e., Neural Processing Units or Neural accelerators for researchers to explore the possibilities. A brief explanation of big data and cloud data mining concepts are also presented here.

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Section: Acceleration In Big Datamentioning

confidence: 99%