Conveners
HPC Applications: 1
- Chair: Daniel Moeketsi (CHPC)
HPC Applications: 2
- Chair: Charles Crosby (CHPC)
HPC Applications
- Chair: Andrew Gill (CHPC)
HPC Applications
- Chair: Zintle Sanda (CHPC)
HPC Applications
- Chair: Inus Scheepers (CHPC)
HPC Applications
- Chair: Nkwe Monama (CHPC)
HPC Applications
- Chair: Charles Crosby (CHPC)
HPC Applications
- Chair: Anton Lopis (CHPC)
HPC Applications
- Chair: Krishna Govender (CHPC)
HPC Applications
- Chair: Binjamin Barsch (CHPC)
We have designed and implemented a spatial SEIR model for tracking and predicting the course of the
Covid-19 pandemic. The model uses ward-level data to model the e?ect of local conditions, including
socio-economic conditions and climate, on the spread of Covid-19.
We have used the CHPC Lengau cluster to reprocess the groundbreaking MeerKAT observations of the centre of our galaxy. This presentation will contain an overview of the steps involved in turning the raw measurements from the telescope into radio images of the sky, and why using a large-scale computing facility is essential for modern radio astronomy. We will conclude with the results...
Air pollution can have large negative impacts on human health, agriculture, ecosystems, visibility and climate. In South Africa, although ambient (i.e. outdoor) air quality is regulated, many areas are out of compliance with the National Ambient Air Quality Standards. In order to protect human health and mitigate impacts, it is critical to improve air quality. The Constitution provides that...
The Epsilon Aerospace Computational Mechanics research programme finds relevance in the Aerospace and Defence industry. The areas of development are in Weapon Systems Integration (WSI) and Unmanned Aerial Vehicles (UAV's). The state-of-the-art Computational Fluid Dynamics (CFD) and Finite Elements Methods (FEM) numerical techniques are used routinely as a necessary part of the design process....
A REP-FAMSEC (reaction energy profile–fragment attributed molecular system energy change) protocol designed to explain each consecutive energy change along the reaction pathway will be briefly described. Electron density-dependant energy components defined in the Interacting Quantum Atoms (IQA) energy partitioning scheme are used to explore interactions between meaningful polyatomic fragments...
This talk focuses on the computational fluid dynamics (CFD) research conducted in the Department of Mechanical Engineering Science at the University of Johannesburg. The primary purpose of the talk is to highlight the need for and the benefit of high performance computing (HPC) to enable and grow critical and relevant research in this broad area. The use of CFD and HPC has grown significantly...
Climate models are valuable tools for understanding the intricacy of climate system, simulating past climate, and projecting future changes in climate. The models are increasingly being used to provide information for climate change mitigation and adaptation strategies. Yet, climate modelling is lagging behind in Africa because of the many challenges, including computational constraints. The...
Confining polymers in thin films causes significant deviations of their structural and dynamical properties from their bulk phase behaviour. In our presentation, we show the different effect of the substrate on binary polymer blends with linear and cyclic architecture, as well as miktoarm star polymers in the presence of explicit solvent, by means of extensive molecular dynamics simulations....
Recent advances in DNA sequencing technology and high throughput computation have revolutionised the field of biology. In modern biology, DNA strands that contain the recipe for making an organism are considered as long strings of coded data that need to be treated in the same way as multi-dimensional data in computer science. The scale of data that biologists need to analyse confronts them...
The separation of a dispersed mixture of immiscible fluids is a common problem that arises in many fields of engineering. Such mixtures can take the form of emulsions of one liquid in another, mists or sprays of liquid droplets in a gas continuum, or foams of gas bubbles separated by thin liquid films. Numerous physical phenomena play a part in the behaviour of groups of droplets or bubbles...
Lately, with the high demand of production and commercialization the need to combine both computational modelling techniques and experiments to speed up the process has become a reality. Computational models typically use observation and manipulation in the same ways as physical experiments, because their goals are often the same. The advantages of computational modelling comes with low cost...
The MeerKAT telescope will conduct many scientific projects during the next five years. These range from a few Large Survey Projects (LSPs) and many, smaller, Open Time Projects (OTPs). The LSPs and OTPs will use the excellent imaging quality of MeerKAT to explore new and exciting parts of parameter space, allowing us to study the evolution of galaxies and the nature of transient objects, for...
The 2017-2018 South African listeriosis epidemic was the world's worst outbreak of Listeria monocytogenes food poisoning with more than a 1,000 confirmed cases and an estimated 200 deaths. This outbreak highlighted the vulnerability of the South African population with regards to foodborne diseases and the critical role foodborne disease surveillance plays in public health.
Recently, the...
Conjugate coupled physics problems involving multiple materials and domains exist across industry, with various combinations of heat, mass, and momentum transport. Examples include automotive brake cooling, thermal cooling of electronics, and processing of chemical reactive species within packed bed reactors in the oil and gas industry [1]. With the ever-growing demand to produce more...
The global outbreak of SARS-CoV-2 has caused high mortality rate and therefore requires an urgent identification of drugs and other interventions to overcome the disease. Scientist around the world are looking for new drugs or molecules to target the spike protein to prevent Covid-19 infection. We present molecular docking analysis of eight synthetic peptides against SARS-CoV-2 spike protein....
Abstract:
“The answer to the question “why HEAs exhibit such exceptional properties” lies in their phases” [1]. The implementation of machine learning (ML) approaches for the classification of solid solution high-entropy alloy (HEA) phases is, therefore, a topical theme in material informatics. For this study, we construct a new dataset based at least 430 peer-reviewed experimental...
The Data Science Research Group is engaged in a broad spectrum of data science problems ranging from theory to computations to applications.
The computations and applications in particular required HPC resources. In particular, the implementation of a special neural network referred to as the Error Correction Neural Network (ECNN) was a computation project that required HPC for testing....
In recent years, considerable progress has been made in using a rational design approach [1] guided by calculations with the Gaussian 09 software package on the Lengau cluster and an application of Michl's perimeter model [1,2] to prepare novel Sn(IV) complexes of porphyrin dyes and porphyrin analogues that are suitable for use as photosensitizer dyes in photodynamic therapy [3-9]. Axial...
A physics-first approach is followed to model cosmic-ray (CR) modulation from first principles, using a novel time-dependent three-dimensional stochastic solver of the Parker transport equation. This approach places a strong, primary emphasis on understanding the basic causes of cosmic-ray modulation. This requires knowledge and an understanding of both the large scale quantities such
as the...
We have applied machine learning algorithms, including logistic regression (LR), support vector machines (SVM), k-nearest neighbour (KNN) and neural networks (DNN) including convolutional (CNN), recursive (LSTM) and Resnet50 architectures to classify the coughing sounds of tuberculosis (TB) and COVID19 patients.
To do this for TB, we have complied a dataset of cough recordings obtained in...
Recent advances in DNA sequencing technology and high throughput computation have revolutionised the field of biology. In modern biology, DNA strands that contain the recipe for making an organism are considered as long strings of coded data that need to be treated in the same way as multi-dimensional data in computer science. The scale of data that biologists need to analyse confronts them...
