|Oluwatoyin Adeleke||Matthew Cawood||Funeka Ceza|
|Kevin Colville||Catherine Cress||Charles Crosby|
|Sean February||Lesley Fredericks||Themba Hlatshwayo|
|Dane Kennedy||Sticks Mabakane||David Macleod|
|Wilson Maruping||Sakhile Masoka||Eric Mbele|
|Daniel Moeketsi||Nkwe Monama||Nox Moyake|
|Meshack Ndala||William Phukungoane||Andy Rabagliati|
|Edward Rakate||Zintle Sanda||Inus Scheepers|
|Happy Sithole||Dorah Thobye||Nicholas Thorne|
|Dr Werner Janse van Rensburg|
|Cliffton Masedi||Mthetho Sovara||Isreal Tshililo|
Last Updated on Tuesday, 21 April 2015 17:11
Please note: The following are three different policies that a user need to read:
1. Please download and read more about the CHPC Use Policy by clicking here. The CHPC must have a signed copy of the CHPC Use Policy on file for every user.
2. The CHPC has implemented Quota limits in their supercomputing systems. You may download the CHPC Quota limit by clicking here.
3. There is certain users data that is backed-up and archived in the systems; to read more about the CHPC Back-up and Archiving Policy click here.
Last Updated on Wednesday, 05 February 2014 12:27
Please read our usage, quota, back-up and archiving before applying for CPU usage.
Researchers working outside South Africa normally require a South African collaborator before resources will be allocated. We are sometimes able to find local collaborators for applicants but it is better if the applicant identifies possibly candidates.
Required fields are marked with *
Last Updated on Thursday, 26 February 2015 15:42
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