The flagship project should aim to resolve a major scientific/socio-economic challenge in South Africa. Its fundamental drive should therefore address in part a well-identified major scientific/technological problem in a specific field or a noteworthy political and/or socio-economic South African or African problem.
The project must take immediate advantage of the CHPC computational resource (with no more than two months of porting) and performance of the calculations/simulations must be done in a parallel fashion. The project must furthermore demonstrate its ability in driving innovative tools that lead to grand scientific impact and benefit a wide range of researchers within the eResearch context.
The results of the project are expected to be of general scientific interest and ought to be captivating enough to attract the attention of major high-profile scientific journals. It will receive 24 months of CHPC support after completion of the research.
Flagship project results must show potential to form part of a visualisation team that will develop a CHPC-supported high school science outreach programme to market the project and CHPC to the public.
The project must play a significant role in promoting the relevant scientific discipline. The CHPC values meaningful partnerships and therefore strongly encourages a multi-disciplinary and/or multi-investigative team. A consortium of researchers based in South Africa will enjoy preference.
The flagship project should contribute to human capital development in general, not only through the mentoring of students and post-doctoral fellows on the research team, but also through the hosting of specialised workshops for relevant Special Interest Groups (SIGs).
A South African High Performance Multi-physics Computational Fluid Dynamics Solver - Dr A. Malan, CSIR
Computational mechanics and electro-elasticity towards improved understanding of the Biomechanics of Myocardial Infarction and the development novel therapies, University of Cape Town (July 2010 - June 2013)
The aim of this collaborative research project between the University of Cape Town and the CHPC is the development and utilisation of high performance computing (HPC) tools to study the biomechanics of myocardial infarction (MI) and emerging MI therapies based on bio-material injection into the infarct. The biomechanical mechanisms of MI and the efficacy of these new therapies are not well understood. The presented problem is highly complex, including the representation of the architecture of cardiac soft tissue with dispersed biomaterial at micro if not nano scale, the highly nonlinear elastic myocardial mechanics, and the electro-sensitivity of the myocardial muscle. Comprehensive treatment exceeds conventional computing resources in terms of problem size and complexity of the developed codes to capture the physical phenomena with sufficient accuracy. HPC will form an imperative platform for this research towards the advancement of MI therapies and prevention of heart failure.
More CHPC Flagship projects:
Last Updated on Thursday, 10 April 2014 14:59
The ACE (Advanced Computer Engineering) Lab's primary focus lies in the pursuit of research avenues within HPC. This includes a mandate to port important codes to novel architectures, including FPGA and many-core solutions, to build a relevant skills and knowledge base of current technologies, to create our own functional hardware, software tools and HPC methodologies and to provide a service for transitioning such technology to local users.
The ACElab is currently involved in a number of projects pursuing these goals on a range of hardware architectures and software ideologies in collaboration with local and international institutions.
Current ACElab Projects:
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Tel: 021 658 3974
Tel: 021 658 397
Last Updated on Friday, 15 February 2013 16:54
Computational Research Initiatives in Imaging and Remote Sensing, University of the Witwatersrand (July 2010 - July 2014)
Through this flagship project, the CHPC aims to produce high level research in the project areas, graduate students with degrees at masters and doctoral levels, and to develop programmes for efficient processing of hyperspectral satellite data.
Read more about previous flagship projects.
Last Updated on Thursday, 10 April 2014 14:54