Revision as of 12:48, 26 February 2023 by Nikos (talk | contribs) (Current Collaborations)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to: navigation, search

The current focus for the CRTC group is on quantum computing, hybrid D-NISQ classical & quantum computing and exascale-era 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.

Current Collaborations

Quantum Computing Consortium For SouthEast Virginia[1]

Past Collaborations

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.

  • 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