Computer Graphics and Visual Computing (CGVC) 2018
pp. 71
- 79
GPU-Assisted Scatterplots for Millions of Call Events
Author(s):
Dylan Rees, Richard C. Roberts, Robert S. Laramee, Paul Brookes, Tony
D'Cruze, and Gary A. Smith
DOI:
10.2312/cgvc.20181209
Abstract:
With four percent of the working population employed in call centers in
both the United States and the UK, the contact center industry represents
a sizable proportion of modern industrial landscapes. As with most modern
industries, data collection is de rigueur, producing gigabytes of call
records that require analysis. The scatterplot is a well established and
understood form of data visualization dating back to the 17th century. In
this paper we present an application for visualizing large call centre
data sets using hardware-accelerated scatterplots. The application
utilizes a commodity graphics card to enable visualization of a month's
worth of data, enabling fast filtering of multiple attributes. Filtering
is implemented using the Open Computing Language (OpenCL), providing
significant performance improvement over traditional methods. We
demonstrate the value of our application for exploration and analysis of
millions of call events from a real-world industry partner. Domain expert
feedback from our industrial partners is reported.
CCS Concepts: Human-centered computing --> Information
visualization; Visualization toolkits
Multimedia:
scatter_camera.mp4
full paper
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