Difference between revisions of "Collaborations"
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| − | + | 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 for exascale-era heterogeneous architectures. CRTC is open to collaborations in those areas. | |
| − | + | The rest of the page lists past (and before the pandemic) collaborations and research activities between CRTC and the broader scientific community from MIT, Harvard Medical School, Stony Brook University, and RWTH Aachen University, Germany. | |
| + | == Past Collaborations == | ||
| − | CRTC | + | CRTC with SBU (Prof. Jim Jiao): Scalable Geometry Abstractions for Extreme-Scale Parallel Mesh Generation |
| − | CRTC | + | 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 | ||
Revision as of 11:52, 19 August 2022
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 for exascale-era heterogeneous architectures. CRTC is open to collaborations in those areas.
The rest of the page lists past (and before the pandemic) collaborations and research 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
