Welcome to PEARC20! PEARC20’s theme is “Catch the Wave.” This year’s theme embodies the spirit of the community’s drive to stay on pace and in front of all the new waves in technology, analytics, and a globally connected and diverse workforce. We look forward to this year’s PEARC20 virtual meeting, where we can share scientific discovery and craft the future infrastructure.
The conference will be held in Pacific Time (PT) and the times listed below are in Pacific Time.
The connection information for all PEARC20 workshops, tutorials, plenaries, track presentations, BOFs, Posters, Visualization Showcase, and other affiliated events, are in the PEARC20 virtual conference platform, Brella. If you have issues joining Brella, please email pearcinfo@googlegroups.com.
Building science gateways for humanities poses new challenges in the science gateway community. Compared to science gateways devoted to scientific content, humanities-related projects usually require 1) processing data in various formats, such as text, image, video, etc., 2) constant public access from a large audience, and 3) reliable security upgrade and low maintenance. Most traditional science gateways are monolithic in design, which is easy to write, but they can be computationally inefficient when integrated with numerous scientific packages for data capture and pipeline processing. Since these applications tend to be single-threaded or nonmodular, they can create traffic bottlenecks when processing large numbers of requests. Moreover, these science gateways are usually difficult to be backed up due to long gap between funding periods and age of applications. In this paper, we study the problem of building science gateways for humanities projects by developing service-based architecture and present two such science gateways: the Moving Image Research Collections (MIRC) - a science gateway focusing on image analysis for digital surrogates of historical motion picture film, and SnowVision - a science gateway for studying pottery fragments in southeastern North America. For each science gateway, we present an overview of the background, some unique challenges, design, and implementation. These two science gateways are deployed on XSEDE's Jetstream academic clouding computing resource and are accessed through a web interface. Apache Airavata middleware is used to manage the interactions between the web interface and deep-learning-based (DL) backend service running on the Bridges graphics processing unit (GPU) cluster.
