@inproceedings{6b537292d97b42469a8d7de85dcc48b9,
title = "Live demonstration: An FPGA based hardware compression accelerator for Hadoop system",
abstract = "Hadoop is an emerging data application for the big data processing. In Hadoop system, data compression is a significant part in processing big data effectively. Achieving this in software requires significant compute processing. In this paper we present the detailed design of a hardware compression accelerators. We also measure the performance of the hardware accelerators. Our analysis shows that hardware acceleration has the potential to improve the data compression by as much as 12x. As a result, our hardware accelerator provides a real time data processing of big data.",
keywords = "Compression, FPGA, Hardware Accelerator",
author = "Lee, \{Sang Muk\} and Oh, \{Jung Hwan\} and Jang, \{Ji Hoon\} and Lee, \{Seong Mo\} and Kim, \{Ji Kwang\} and Lee, \{Seung Eun\}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016 ; Conference date: 25-10-2016 Through 28-10-2016",
year = "2017",
month = jan,
day = "3",
doi = "10.1109/APCCAS.2016.7804035",
language = "English",
series = "2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "744--745",
booktitle = "2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016",
}