@article{ART002862978},
author={Byung-Kwon Jung},
title={Design and Implementation of Memory-Centric Computing System for Big Data Analysis},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2022},
volume={27},
number={7},
pages={1-7},
doi={10.9708/jksci.2022.27.07.001}
TY - JOUR
AU - Byung-Kwon Jung
TI - Design and Implementation of Memory-Centric Computing System for Big Data Analysis
JO - Journal of The Korea Society of Computer and Information
PY - 2022
VL - 27
IS - 7
PB - The Korean Society Of Computer And Information
SP - 1
EP - 7
SN - 1598-849X
AB - Recently, as the use of applications such as big data programs and machine learning programs that are driven while generating large amounts of data in the program itself becomes common, the existing main memory alone lacks memory, making it difficult to execute the program quickly. In particular, the need to derive results more quickly has emerged in a situation where it is necessary to analyze whether the entire sequence is genetically altered due to the outbreak of the coronavirus. As a result of measuring performance by applying large-capacity data to a computing system equipped with a self-developed memory pool MOCA host adapter instead of processing large-capacity data from an existing SSD, performance improved by 16% compared to the existing SSD system.
In addition, in various other benchmark tests, IO performance was 92.8%, 80.6%, and 32.8% faster than SSD in computing systems equipped with memory pool MOCA host adapters such as SortSampleBam, ApplyBQSR, and GatherBamFiles by task of workflow. When analyzing large amounts of data, such as electrical dielectric pipeline analysis, it is judged that the measurement delay occurring at runtime can be reduced in the computing system equipped with the memory pool MOCA host adapter developed in this research.
KW - Memory-centric computing;Memory pool;MOCA(Memory Oriented Computing Architecture);Big data analysis
DO - 10.9708/jksci.2022.27.07.001
ER -
Byung-Kwon Jung. (2022). Design and Implementation of Memory-Centric Computing System for Big Data Analysis. Journal of The Korea Society of Computer and Information, 27(7), 1-7.
Byung-Kwon Jung. 2022, "Design and Implementation of Memory-Centric Computing System for Big Data Analysis", Journal of The Korea Society of Computer and Information, vol.27, no.7 pp.1-7. Available from: doi:10.9708/jksci.2022.27.07.001
Byung-Kwon Jung "Design and Implementation of Memory-Centric Computing System for Big Data Analysis" Journal of The Korea Society of Computer and Information 27.7 pp.1-7 (2022) : 1.
Byung-Kwon Jung. Design and Implementation of Memory-Centric Computing System for Big Data Analysis. 2022; 27(7), 1-7. Available from: doi:10.9708/jksci.2022.27.07.001
Byung-Kwon Jung. "Design and Implementation of Memory-Centric Computing System for Big Data Analysis" Journal of The Korea Society of Computer and Information 27, no.7 (2022) : 1-7.doi: 10.9708/jksci.2022.27.07.001
Byung-Kwon Jung. Design and Implementation of Memory-Centric Computing System for Big Data Analysis. Journal of The Korea Society of Computer and Information, 27(7), 1-7. doi: 10.9708/jksci.2022.27.07.001
Byung-Kwon Jung. Design and Implementation of Memory-Centric Computing System for Big Data Analysis. Journal of The Korea Society of Computer and Information. 2022; 27(7) 1-7. doi: 10.9708/jksci.2022.27.07.001
Byung-Kwon Jung. Design and Implementation of Memory-Centric Computing System for Big Data Analysis. 2022; 27(7), 1-7. Available from: doi:10.9708/jksci.2022.27.07.001
Byung-Kwon Jung. "Design and Implementation of Memory-Centric Computing System for Big Data Analysis" Journal of The Korea Society of Computer and Information 27, no.7 (2022) : 1-7.doi: 10.9708/jksci.2022.27.07.001
