P51: TuPiX-Flow: Workflow-Based Large-Scale Scientific
Data Analysis System
SessionPoster Reception
Event Type
ACM Student Research Competition
Poster
Reception
TimeTuesday, November 14th5:15pm -
7pm
LocationFour Seasons Ballroom
DescriptionWith more research being actively conducted on big
data, there has been a growing interest towards
data-intensive data science in various fields. Against
this backdrop, extensive efforts have been made to apply
High Performance Computing (HPC) technology such as
distributed computing or parallel computing. However,
many researchers are unable to fully utilize such
technology due to their lack of knowledge, programming
skills, and analytical skills for large-scale data.
TuPiX-Flow, which provides a workflow-based user
interface, enables researchers to easily analyze
large-scale data using workflow diagrams for end-to-end
analytical processes even without programming knowledge
or implementation technology. In addition, large-scale
data can be efficiently analyzed in software compatible
with HPC, including distributed computing and parallel
computing. As a case study of large-scale data analysis
using TuPiX-Flow, a model for the detection of red tides
surrounding the Korean peninsula was analyzed based on
ocean color satellite data.
