

Ecosystems for Smart Autonomous Interconnected Laboratories (E-SAIL) Workshop
Thursday, May 25, 2023 2:00 PM to 6:00 PM · 4 hr. (Europe/Berlin)
Hall Y12 - 2nd Floor
Workshop
AI ApplicationsHPC WorkflowsQuantum Computing - HPC IntegrationResource DisaggregationWorkflows from Edge to Cloud
Information
Recent advances in edge computing, automation/autonomy, and artificial intelligence (AI) are leading many institutions to build “smart” autonomous experimental laboratories and user facilities. These institutions integrate complex solutions that automate workflows (i.e., instrument setup and tuning, sample synthesis and processing, measurements, data analysis, and model-driven data interpretation) and make them “smart” by incorporating AI/ML to bring about revolutionary efficiencies and research outcomes. Unfortunately, there has been limited coordination across the various scientific communities to develop a common research infrastructure for autonomous “smart” laboratories and user facilities. This lack of coordination has led to a variety of solutions that often overlap but do not inherently interoperate resulting in stove-piped “smart” labs and user facilities.
The primary goal of the E-SAIL workshop is to bring together scientists with diverse expertise to increase collaboration efforts in the development of a common science research ecosystem for current and future “smart” labs and user facilities. We propose to focus on “Ecosystem Advancements and Development” and “Ecosystem Users,” as we see these as two key topics when creating a common ecosystem for the Instrument-to-Edge-to-Cloud-to-HPC scientific continuum.
Format
On-site
Targeted Audience
The intended audience is a combination of computer scientist and experimentalists interested in building and interconnecting future autonomous laboratories that span across science domains. The E-SAIL workshop is intended to provide a collaborative co-design environment for a future common HPC ecosystem that spans the instrument-to-edge-to-cloud-to-HPC scientific continuum.
Beginner Level
20%
Intermediate Level
60%
Advanced Level
20%
Speakers
EA
Elke Arenholz
Division Director, Physical Sciences DivisionPacific Northwest National Laboratory
Christian Engelmann
Senior Computer ScientistORNL
Dani Ushizima
Staff ScientistLawrence Berkeley National Laboratory
Bjoern Enders
Data Science Workflows ArchitectNational Energy Research Scientific Computing Center (NERSC), Lawrence Berkeley National Laboratory
Arthur Maccabe
Executive DirectorUniversity of Arizona, IFDC
Ryan Coffee
Senior Staff Research ScientistSLAC National Accelerator LaboratoryBM
Benjamin Mintz
Director of Interconnected Science EcosystemOak Ridge National Laboratory
Larry Kaplan
Senior Distinguished TechnologistHPE
Rafael Vescovi
Computation ScientistArgonne National Laboratory / UChicago