z-logo
open-access-imgOpen Access
A survey on big data processing infrastructure: evolving role of FPGA
Author(s) -
Krishna Chaitanya Nunna,
Farhad Mehdipour,
Antoine Trouvé,
Kazuaki Murakami
Publication year - 2015
Publication title -
international journal of big data intelligence
Language(s) - English
Resource type - Journals
eISSN - 2053-1397
pISSN - 2053-1389
DOI - 10.1504/ijbdi.2015.070599
Subject(s) - computer science , field programmable gate array , big data , variety (cybernetics) , data processing , information processing , resource (disambiguation) , parallelism (grammar) , computer architecture , data science , data processing system , embedded system , database , operating system , parallel computing , artificial intelligence , computer network , neuroscience , biology
In today’s commercial world, information is becoming a major economic resource thus leading to a statement - Information is wealth. It is a technical challenge for computer systems in managing and analyzing the large volumes of data coming from a variety of resources continuously over a period. Experts are in a mood of moving towards alternative hardware platforms for achieving high-speed data processing and analysis especially for streaming applications. In this paper, (a) existing trends in big data processing and the necessary systems involved are studied by performing a survey on available platforms, (b) recommended features and suitable hardware systems are proposed based on the operations involved in the processing. Investigation shows that, in combination with CPU and along with GPU, FPGA is a possible alternative. It can be a part of the heterogeneous platform featuring parallelism, pipelining and high performance for the operations involved in big data processing

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom