Title
Time Performance Analysis of Multi-CPU and Multi-GPU in Big Data Clustering Computation
Abstract
Big data is a hot topic that is regularly discussed in the computer science field for the past year. Big data provides numerous benefits for the development of technologies, such as business intelligence and deep learning. Processing big data requires specialized tools and environment, ranging from a commodity-clustered workstation to high performance computing server, especially in big data clustering where unsupervised learning takes place. In this paper, we conduct time analysis of commodity-clustered workstation equipped with Spark as a baseline for multi-CPU big data clustering and TensorFlow installed in a high-performance computing workstation as a baseline for multi-GPU big data clustering. Based on the analysis, it shows that TensorFlow performs have around 5 to 12 times faster computation time than Spark.
Year
DOI
Venue
2018
10.1109/IWBIS.2018.8471715
2018 International Workshop on Big Data and Information Security (IWBIS)
Keywords
DocType
ISBN
Spark,TensorFlow,Big Data,Cluster,K-Means
Conference
978-1-5386-5526-9
Citations 
PageRank 
References 
0
0.34
0
Authors
8