Location: Room O4 – Orchid Jr 4212 (Level 4)
Abstract: The complexity of scientific research calls for dynamic integration of various interconnected scientific instruments for data generation (e.g., observation,) and data analysis (e.g., visualization). The capability of near real-time data processing across interconnected scientific instruments is the foundation of various scientific workflows, including both traditional human-in-the-loop and autonomous ones. This is because analysis results are needed near real-time to provide time-sensitive decision-making and to steer experiments. However, as the improvement of scientific instruments leads to the generation of scientific data with unprecedented volumes and modalities, it imposes a significant strain on data processing as data acquisition, sharing, and analysis will be prohibitively time- and energy-consuming with the increase of data volumes. This landscape highlights the growing need for research efforts that focus on optimizing all stages of data processing at an extreme scale to enable near real-time processing, including but not limited to acquisition, reduction, management, storage, sharing, and analysis.
Workshop URL: https://sites.google.com/charlotte.edu/nrdpisi-2
Programme:
Time | Session |
09:00am – 09:05am | Welcome and Introduction |
09:05am – 09:35am | Invited Talk – Dr Chin Guok, Chief Technology Officer, Planning and Innovation Group Lead, Energy Sciences Network |
09:35am – 10:00am | Paper Presentation – Dr Norbert Podhorszki, Distinguished Researcher Scientist, Oak Ridge National Laboratory |
10:00am – 10:30am | Invited Talk – Dr Scott Klasky, Distinguished Scientist, Group Leader in the CSM Division |
10:30am – 10:45am | Tea Break |
10:45am – 11:15am | Invited Talk – Dr Rachana Ananthakrishnan, Executive Director and Head of Products for Globus, University of Chicago |
11:15am – 11:40am | Paper Presentation – Dr Justin Wozniak, Computer Scientist, Argonne National Laboratory |
11:40am – 12:00pm | Invited Talk – Dr Gabriel Noaje, HPC Business Development Lead, NVIDIA |
12:00pm | Closing |