REDWOOD
REDWOOD in NPPS
Contributors
| Tasnuva Chowdhury | ||
| Alexei Klimentov | Leadership team member SDCC Director (Interim) | |
| Tadashi Maeno | PanDA Project Leader, Harvester Project Leader, iDDS Project Leader | |
| Paul Nilsson | PanDA Pilot Project Leader |
Technical areas
AI/ML
High performance computing
Simulation
Workflow and workload management
Software
Grid and workflow/dataflow simulator
Intelligent data delivery system (iDDS)
PanDA workload management system
Rucio
Related materials
The REDWOOD project aims to optimize the resilience, throughput, and resource utilization afforded by federated workflows in a heterogeneous computing environment by optimally and intelligently placing data and computational resources. The project will design and develop an intelligent, introspective, and dynamic workflow based on a system model built with years of data captured from important exemplars of large-scale experimental facilities, in particular the PanDA workload management system developed largely by NPPS.
REDWOOD is a collaboration between high energy physicists and computer scientists at several labs and universities, led by BNL PI Alexei Klimentov. It is supported by DOE ASCR.
