About the Project
The Akaroa research project aims to improve the credibility of results from quantitative stochastic simulation using automated sequential analysis, and to speed up these simulations using Multiple Replications In Parallel (MRIP) to harness the computing power of a network of inexpensive workstations.
Current Participants
Prof. Dr. K. Pawlikowski, Computer Science
Dr. D. McNickle, Management
Dr. G. Ewing, Adjunct fellow, Computer Science
Will Gittoes, Student, Computer Science
Yumi Masuri, Student, Computer Science
Former Participants
Adriaan Schmidt, M.Sc. exchange student, Computer Science (2008-2009)Farzana Yasmeen, Ph.D. exchange student, Computer Science (2008)
Mirko Eickhoff, Ph.D. graduate, Computer Science (2005-2008)
Daphne Chao, M.Sc. graduate student, Computer Science (2003-2006)
Marcus Schoo, Summer scholarship student, Computer Science (2006)
Behshid Ghorbani, M.Sc. graduate, Computer Science (2002-2005)
Joshua Jeong, Ph.D. graduate, Computer Science (1997-2003)
Ruth Lee, Ph.D. graduate, Computer Science (1997-2002)
Victor Yau, Ph.D. graduate, Computer Science (1991-1996)
Lorraine de Vere, B.Sc (Honours) graduate, Computer Science (1993)
Chris Stacey, B.Sc. (Honours) graduate, Computer Science (1993)
Publications
2000-present 1999 1998-1990Akaroa2©
The Akaroa2© package is being developed and evaluated by the Simulation Research Group at the Department of Computer Science, University of Canterbury, Christchurch, New Zealand. NOTE: Akaroa2© is free for teaching and non-profit research activities at universities only. Any other use requires permission. See the Copyright and Conditions.Download
- Manual and source for the latest version of Akaroa2©.
- Interfaces with other simulation systems (optional).
Further Topics
- Multiple Replications in Parallel
- Features of Akaroa2©
- Architecture of the Akaroa System
- Copyright and Conditions
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Last modified: 27 Nov 2009