Global Computing Lab Mission
The Global Computing Lab (GCLab), headed by Dr. Michela Taufer, focuses on various aspects of high performance computing (HPC) and its application to the sciences. We are engaged in the design and testing of efficient computational algorithms and adaptive scheduling policies for scientific computing on GPUs, cloud computing, and volunteer computing. Interdisciplinary research with scientists and engineers in fields such as chemistry and chemical engineering, pharmaceutical sciences, seismology, and mathematics is at the core of our activities and philosophy.
Read our 2024-2025 newsletter and learn more about GCLab!
GCLab @ Supercomputing
Participation of GCLab @ The International Conference for High Performance Computing, Networking, Storage, and Analysis
FAIROS: Disciplinary Improvements: Dark Matter Data Commons - A FAIR and Open Science Infrastructure for Astrophysical Discovery
SAFARI: Scientific Analytics, Forensics, and Reproducibility for Workflows in Cyberinfrastructure (CI)
POSE: Phase I: Towards an Open-Source Ecosystem for Accelerating High-Resolution Terrain Parameter Computation in Earth Science Applications
CSSI: Frameworks: Applying Artificial Intelligence Advances to the Next Generation of Workflow Management on Modern Cyberinfrastructure
SENSORY: Software Ecosystem for Knowledge Discovery - a Data-Driven Framework for Soil Moisture Applications
ANACIN-X: Analysis and Modeling of Nondeterminism and Associated Costs in eXtreme Scale Applications
A4MD: Analytics for molecular dynamics
SOMOSPIE: A modular SOil MOisture SPatial Inference Engine
RobustScience: A Community Roadmap to Robust Science in High-throughput Applications
SHF: Small: Methods, Workflows, and Data Commons for Reducing Training Costs in Neural Architecture Search on High-Performance Computing Platforms








