Please accept my warm welcome to the High Performance Computing Symposium 2014.
Je souhaite à tous les participants la plus cordiale des bienvenues au Symposium de calcul de haute performance (HPCS) 2014.
Although I regret being unable to join you today, I am pleased to have the opportunity to provide a message on behalf of Prime Minister Stephen Harper to this impressive gathering of researchers and experts in the field of advanced research computing.
Our government is proud to support the operation of Compute Canada and its regional networks like ACEnet through our investments in the Canada Foundation for Innovation. I understand that many of you have contributed your views to the CFI on how to best deliver the investment in cyber-infrastructure announced in Economic Action Plan 2013. I thank all of you who contributed your insights.
Our government is making record investments in science, technology and innovation to create jobs, strengthen economic growth and improve the quality of life of Canadians. Earlier this year we released Digital Canada 150 to help Canada be a world leader in adopting digital technologies and in applying “big data” to change how we think about and carry out health care, research and development.
Effective high-performance computing capabilities are going to play an increasingly crucial role in driving Canada’s economy and advancements in research and innovation.
Once again, I would like to thank Compute Canada and ACEnet for hosting this symposium, and I extend my warm wishes to the participants.
Honourable Ed Holder
Minister of State (Science and Technology)
Member of Parliament (London West)
Dr. Becke is the Killam Chair in Computational Science at Dalhousie University. He is an international leader in the development of novel quantum molecular theories and computational methods, and one of the most cited physical scientists in the world. He has received numerous awards; most recently the Theoretical Chemistry Award of the American Chemical Society.
Dr. Brunet is responsible for numerical models and their application in operational forecasting and consultancy. Prior to his leadership role at the UK Met Office Dr. Brunet was head of the Meteorological Research Division at Environment Canada. Dr. Brunet is an international leader in dynamical meteorology, numerical weather prediction and intraseasonal variability. He is also presently the Chair of the continue reading →
Dr. Dehne is the Chancellor’s Professor of Computer Science at Carleton University in Ottawa, and Fellow of the IBM Centre For Advanced Studies Canada. His research interests include the design and implementation of efficient parallel algorithms, the interrelationship between the theoretical analysis of parallel algorithms and the performance observed on current parallel architectures, and the use of efficient parallel algorithms continue reading →
Dr. Ashkan Golshani is an Associate Professor of Biology and the Director of the Systems Biology Group at Carleton University. His main area of research includes high throughput investigation of protein-protein interactions and genetic interactions in model organisms. He is currently a natural sciences member of the CIHR Advisory Board for the new open funding schemes.
Nikolas Provatas is a Professor of Physics at McGill University and holds a Canada Research Chair in Computational Materials Science. His research is at the interface of condensed matter physics and materials engineering. It uses high-performance computing, principles of non-equilibrium thermodynamics and experiments to understand the fundamental origins of length scale selection in microstructure evolution in engineering materials and materials continue reading →
Dr. Sampath’s interests include Arctic Engineering, Safety & Environment and reservoir performance. Prior to his current assignment, he was Reservoir Manager at ExxonMobil’s Upstream Research Company in Houston, Texas. Dr. Sampath has experience in reservoir engineering, reservoir simulation and reservoir management.
Alex has been with Algorithmics since 1995. After IBM acquisition in 2011, he became STSM and Head of Quantitative Research, Risk Analytics. Alex has PhD in Probability and Statistics from the University of Vilnius (Lithuania). He published over 60 papers and 2 monographs. His research areas include Market and Credit Risk Modelling, Numerical Methods for Risk Management, Monte Carlo Methods, continue reading →