ACEnet
 |
| Abbreviation | ACEnet |
|---|---|
| Formation | 2004 |
| Type | Consortium |
| Purpose | High Performance Research Computing |
| Headquarters | Memorial University of Newfoundland |
Region served | Atlantic Canada |
Executive Director | Ray Miller |
| Staff | 14 |
| Website | http://www.ace-net.ca |
ACEnet or the Atlantic Computational Excellence Network is a partnership of nine Atlantic Canada institutions to organize themselves into a large scale high-performance computing (HPC) facilities for research. The nine institutions include; Memorial University of Newfoundland, University of New Brunswick, Mount Allison University, Dalhousie University, St. Francis Xavier University, Saint Mary's University and the University of Prince Edward Island, Cape Breton University, Mount St. Vincent University and Acadia University.
ACEnet also partners with:
- CANARIE
- Grid Canada
- C3
- The Canada Foundation for Innovation (CFI)
ACEnet is one of seven HPC consortia in Canada that, under the newly announced National Platform Fund (CFI) will share resources and collaborate on various research projects that would never be undertaken by a single entity. The other HPC networks in Canada are:
Current ACEnet projects
- The Response of the Labrador Sea Environment to Global Climate Change
- A research project to study the complex response of the Labrador Sea environment to global changes to estimate expected future effects of climate change in this region. With the goal of improving the capabilities of future operational short-term ocean predictions from weeks to months that will provide information that will contribute to extra security measures for the Canadian Coast Guard.
- Optimizing Location-Aware Data Management for Location-Based Mobile Commerce
- A research project to determine the transaction processing challenges in mobile commerce using location-aware data management practices to improve the level of transactional support provided by server-based informational resources to mobile users. The Genesis Group at MUN currently holds a US patent for the location-aware method.
- Protein Folding
- Protein folding is a research project to understand the structure and reactions of molecules in the development of drugs and compounds.
- Protein Mineralization
- A research project to understand and to develop new therapeutic applications of protein mineralization. This project, by finding ways to manipulate the process of protein mineralization will affect the way treatment of health issues such as broken bones and strokes.
- Thin Film Magnetism
- A research project of Thin Film Magnetism to identify and create new techniques for data storage and data processing and resulting in implications for high speed electronics. Research into fields which include auto magnetic materials, spintronics, and nano-magnetic technology.
- Star formation in high-redshift galaxies
- Study of star formation and feedback in high-redshift galaxies. This project involves simulation of large cosmological volumes using adaptive mesh refinement to resolve the interstellar medium in individual galaxies. The goal is to understand formation and evolution of young protogalaxies when the Universe was about 1-2 Gyrs old.
ACEnet Compute Resources
ACEnet currently has 5 Linux clusters. Sun Grid Engine is used for job scheduling.
See also
- Grid computing
- High-performance technical computing
- Distributed computing
- Parallel computing
- Quantum computing
- Metacomputing
- Supercomputer
- Open problems in high performance computing