Big data analytics is eventual discovery of knowledge from large set of data thus leading to business benefits. Its biggest challenge is the ability to provide information within reasonable time. The traditional analytics methods might fail to produce efficient result when data handled is of large size. As part of enhancing the performance, the researchers incorporated Graphical Processing Unit (GPU) on big data. GPU being the soul of computer delivers high performance by using its multi core parallel architecture. This paper investigates some methods of integrating GPU on analytics of big data that solely delivered high performance when compared to conventional schemes
The term, Big Data, has been authored to refer to the extensive heave of data that can't be managed ...
Forbes Magazine estimated the Big Data Analytics market at $125 billion in 2015. That is 25x the en...
The use of electronics to implement IT solutions has generally known about big data since recent cen...
High Performance Computing via General Purpose Graphical Processing Unit (GPU) is a potential instru...
Big Data applications are trivially parallelizable because they typically consist of simple and stra...
The computational and data handling challenges in big data are immense yet a market is steadily grow...
In today’s commercial world, information is becoming a major economic resource thus leading to a sta...
High performance computing (HPC) and Big Data are technologies vital for advancement in science, bus...
The process of analyzing large data and verifying a big data set are a challenge for understanding t...
The big data revolution has ushered an era with ever increasing volumes and complexity of data requi...
Big Data has been a catalyst force for the Machine Learning (ML) area, forcing us to rethink existin...
The number of devices connected to the Internet has increased significantly and will grow exponentia...
Big Data has been created from virtually everything around us at all times. Every digital media inte...
In the digital world data accumulation is increasing more and more. Billions of devices are connecte...
The massively increasing amount of often geographically dispersed large quantities of data of experi...
The term, Big Data, has been authored to refer to the extensive heave of data that can't be managed ...
Forbes Magazine estimated the Big Data Analytics market at $125 billion in 2015. That is 25x the en...
The use of electronics to implement IT solutions has generally known about big data since recent cen...
High Performance Computing via General Purpose Graphical Processing Unit (GPU) is a potential instru...
Big Data applications are trivially parallelizable because they typically consist of simple and stra...
The computational and data handling challenges in big data are immense yet a market is steadily grow...
In today’s commercial world, information is becoming a major economic resource thus leading to a sta...
High performance computing (HPC) and Big Data are technologies vital for advancement in science, bus...
The process of analyzing large data and verifying a big data set are a challenge for understanding t...
The big data revolution has ushered an era with ever increasing volumes and complexity of data requi...
Big Data has been a catalyst force for the Machine Learning (ML) area, forcing us to rethink existin...
The number of devices connected to the Internet has increased significantly and will grow exponentia...
Big Data has been created from virtually everything around us at all times. Every digital media inte...
In the digital world data accumulation is increasing more and more. Billions of devices are connecte...
The massively increasing amount of often geographically dispersed large quantities of data of experi...
The term, Big Data, has been authored to refer to the extensive heave of data that can't be managed ...
Forbes Magazine estimated the Big Data Analytics market at $125 billion in 2015. That is 25x the en...
The use of electronics to implement IT solutions has generally known about big data since recent cen...