Authors: Jason Leigh (University of Hawaii at Manoa), Luc Renambot (University of Illinois, Chicago), Ryan Theriot (University of Hawaii at Manoa), Mahdi Belcaid (University of Hawaii at Manoa), Nurit Kirshenbaum (University of Hawaii at Manoa), Chris North (Virginia Tech), Maxine Brown (University of Illinois, Chicago)
Abstract: SAGE3, the Smart Amplified Group Environment, is the next-generation, “human-in-the-loop” collaboration platform, providing HPC users with the tools to access, explore, discover, publish, share, integrate, and reuse complex datasets. SAGE3 supports today’s hybrid work/home environments (laptops, single monitors and display walls), and interfaces with a variety of computational infrastructures, workflows, notebooks, and analytics software through Artificial Intelligence-enabled services and orchestration services. It lowers the barrier of entry into AI for non-expert users, democratizing access to disruptive technologies for those with varying skills. The BoF presents SAGE3 features, highlights user stories, describes future design plans, and encourages attendee feedback and interaction.
Long Description: SAGE3 is a Collaborative Research project funded by NSF awards #2004014, 2003800 and 2003387 to University of Hawaii at Manoa, University of Illinois Chicago and Virginia Tech, respectively, May 2020-April 2025.
Topic. The Big Data revolution necessitates the use of sophisticated tools such as Artificial Intelligence (AI) and Data Visualization to harness the volume, velocity and variety of large datasets. However, it is the researchers who must make sense of the data being amassed, so cyberinfrastructure must extend to people.
SAGE3, the Smart Amplified Group Environment, puts the “human in the loop” by providing scientists with an intuitive, data-driven framework that integrates AI technologies with applications, workflows, notebooks, visualizations and collaboration services to help them access, share, explore and analyze their data, gain insight, and make timely decisions. It utilizes orchestration services to support reproducible work models for secure collaborative work. It lowers the barrier of entry into AI for non-expert users, democratizing access to disruptive technologies for those with varying skills.
SAGE3 augments every step of the scientific discovery enterprise – from summarizing large data, to finding trends, similarities, or anomalies among one or more linked datasets, to communicating findings to scientists, public policy and government officials, and the general public, to educating the next-generation workforce. Ultimately, scientists must harness the Big Data revolution to address grand challenges – to study the diversity of life on Earth, to understand global climate change from satellite imagery, or to develop responses for natural disasters such as landslides and pandemics that impact the citizens and economies of the world.
Timeliness of the Topic. SAGE (2004-2014) and SAGE2 (2014-2020) became community standards for data-intensive visual analytics and collaboration. SAGE3 is a total rewrite, taking advantage of today’s technological and sociological changes – notably, web browsers and languages are maturing; scientific communities rely on notebooks; science workloads incorporate AI programs and programmable infrastructure; and, due to the pandemic, the changing hybrid office/home workplace that requires both video-teleconferencing and data-driven tools for distributed groups.
Relevance to the Expected HPC Audience. SAGE users (SAGE3 and its predecessors SAGE2 and SAGE) are HPC researchers – i.e., domain scientists and computer scientists involved with Big Data – at supercomputer centers, government labs, universities, and industry research centers worldwide, making the SC BOF the primary venue for discourse and for attracting new users.
BOF Goals: Community Building, Interactive, Non-Commercial. BOF attendees are introduced to SAGE3 – current capabilities, use cases and future roadmap – and encouraged to ask questions or have input. The development team and several users also have research booths on the exhibition floor where BOF attendees can follow up with discussions and demonstrations. Note: In prior years, a few vendors with whom the development team works have attended the BOF to learn about researchers’ collaboration needs; they do not participate.
Previous BOFs. Eleven successful SC BOFs (2009-2019) were held on SAGE and SAGE2, each attracting ~50 people (~20% new) and several NSF program managers. This will be the first SAGE3 SC BOF.
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