RealGraphGPUWeb: A Convenient and Efficient GPU-Based Graph Analysis Platform on the Web

Citations

SCOPUS

1

초록

In this demo paper, we present RealGraphGPUWeb, a web-based graph analysis platform with the following features: (1) easy to use user-friendly GUI, (2) high processing performance, (3) various graph algorithms and data formats supported, (4) high accessibility anywhere on the web, and (5) no coding requirements. In our demo, we show how a naive user (e.g., non-CS researcher) gets graph analysis results conveniently and efficiently with a few clicks through the web-based GUI in RealGraphGPUWeb. We also make the user feel the effect of performance improvement obtained by our optimization strategies employed in RealGraphGPUWeb. We believe that RealGraphGPUWeb could be a good platform not only for CS users but also for non-CS users who want to analyze big graphs for their applications easily and efficiently.

키워드

GPU-based processingGraph engineslarge-scale graphs analysisweb-based graph analysisGraphical user interfacesWebsites
제목
RealGraphGPUWeb: A Convenient and Efficient GPU-Based Graph Analysis Platform on the Web
저자
Park, Jeong-MinJang, Myung-HwanKim, Sang-Wook
DOI
10.1145/3589335.3651237
발행일
2024-05
유형
Conference paper
저널명
WWW 2024 Companion - Companion Proceedings of the ACM Web Conference
페이지
1011 ~ 1014