Collaborations

From crtc.cs.odu.edu
Revision as of 11:50, 19 August 2022 by Nikos (talk | contribs)
Jump to: navigation, search


The current focus for the CRTC group is on quantum computing, hybrid classical/quantum computing with emphasis on domain-specific languages (a collaboration with VT's Prof. Nikolopoulos), and intelligent runtime software systems. CRTC is open to collaborations in those areas.

The rest of the page lists past (and before the pandemic) collaboration activities between CRTC and the broader scientific community from MIT, Harvard Medical School, Stony Brook University, and RWTH Aachen University, Germany.

Past Collaborations

CRTC with SBU (Prof. Jim Jiao): Scalable Geometry Abstractions for Extreme-Scale Parallel Mesh Generation

CRTC with DoE/ANL (Dr. Pete Beckman): Multi-Layered Runtime System on Exascale OS (ARGO)

CRTC with NIA (Hiro Nishikawa) and SBU (Prof. Jim Jiao): mesh generation for high-order convergence schemes

CRTC with Center for Computational Engineering Science at RWTH Aachen University, Germany (Prof. Marek Bern): Parallel Space-Time Finite Element Simulations

CRTC with Medical School at SBU (Prof. Barry Lieber and Dr. Chader Sadasivan): Prediction of Long Term Efficacy of Cerebral Aneurysm Bypass by Flow Diversion

CRTC with Medical School at Harvard (Prof. Ron Kikinis, Prof. Alex Golby, and Dr. Sarah Frisken): Deformable Registration for Brain Tumor Resection

CRTC with School of Medicine at VCU (Prof. Kathy Holloway): Deformable Registration for Deep Brain Stimulation

CRTC with NYU (Prof. Daniele Panozzo): Parallel swappable mesh operations project

CRTC with NCSA/UIUC (Dr. Andriy Kot, NCSA, UIUC): Multi-Layered Runtime System

CRTC with Queen's Univ. Belfast, UK (Prof. Nikolopoulos): Power-Aware High-Performance Computing Systems

CRTC with MIT (Prof. David Darmofal): Parallel Error-based Grid Adaptation

CRTC with MSU (Prof. David Marcum): Modifications of AFLR for parallel mesh generation

CRTC with NASA/LaRC (Dr. Mike Park): Parallel Adaptive Anisotropic Mesh Generation