Project reference: 2015 The broad userbase of clusters is not familiar with the ins-and-outs of the systems they are working on and such familiarity is not really necessary. As a result many will enqueue jobs with maximum available run time …
Machine Learning for the rescheduling of SLURM jobs Read More »
Project reference: 2014 The deMon2k (density of Montréal) [1] is a software package for density functional theory (DFT) calculations. It uses the linear combination of Gaussian-type orbital (LCGTO) approach for the self-consistent solution of the Kohn-Sham (KS) DFT equations. RT-TDDFT …
Matrix exponentiation on GPU for the deMon2k code Read More »
Project reference: 2013 As scalable hardware for quantum computers becomes more of a reality, the development of a software stack and working applications becomes increasingly important; both to investigate what type of problems are well suited to quantum architectures and …
Quantum Genome Pattern Matching using Rigetti’s Forest API Read More »
Project reference: 2012 Today’s supercomputing hardware provides a tremendous amount of floating point operations (FLOPs). While CPUs are designed to minimize the latency of a stream of individual operations, GPUs try to maximize the throughput. However, GPU FLOPs can only …
Got your ducks in a row? GPU performance will show! Read More »
Project reference: 2011 Simulations of classical or quantum field theories often rely on a lattice discretized version of the underlying theory. For example, simulations of Lattice Quantum Chromodynamics (QCD, the theory of quarks and gluons) are used to study properties …
Project reference: 2010 Molecular simulations yield plenty of data which have to be processed to obtain desired results. Although the automatization of data verification is still better and better, there is still a necessity to check some properties by the …
Development of visualization tool for data from molecular simulations Read More »
Project reference: 2009 Deep neural networks (DNNs) are evaluated and used in many areas today, to replace or complement traditional technologies. In this project the student will develop a DNN to detect and localize selected objects in images. As object …
Object Detection Using Deep Neural Networks – AI from HPC to the Edge Read More »
Project reference: 2008 A Breadth First Search (BFS) is one of the core graph based searching algorithms. It can run in O(N + E), where N is the number of vertices and E is the number of edges of the …
GPU acceleration of Breadth First Search algorithm in applications of Social Networks Read More »
Project reference: 2007 Python is widely used in scientific research for tasks such as data processing, analysis and visualisation. However, it is not yet widely used for large-scale modelling and simulation on high performance computers due to its poor performance …
Performance of Parallel Python Programs on New HPC Architectures Read More »
Project reference: 2006 The aim of this project is to explore the limits of our fully ARM-based HPC cluster, Fulhame. This a relatively new cluster and whilst some codes and libraries are already ported and optimised, there is a lot …
Porting and benchmarking on a fully ARM-based cluster Read More »
Project reference: 2005 Charm++ is an open source, parallel programming framework in C++, supported by an adaptive runtime system. It uses objects called chares which hold data, and methods to act on that data, which can be invoked emotely by …
Project reference: 2004 Anomalies detection is one of the timeliest problems in managing HPC facilities. Clearly, this problem involves many technological issues, including big data analysis, machine learning, virtual machines manipulations and authentication protocols. Our research group already prepared a …
Project reference: 2003 Supernova (SN) explosions are one of the most energetic phenomena in the universe. They represent the final fate of massive stars. SNe can briefly outshine entire galaxies and radiate more energy than our sun will in its …
Visualization of supernova explosions in a magnetised inhomogeneous ambient environment Read More »
Project reference: 2002 Neural networks (NN) and deep machine learning are two success stories in modern artificial intelligence. They have led to major advances in image recognition, automatic text generation, and even in self-driving cars. NNs are designed to model …
Project reference: 2001 The goal of the project is to demonstrate that HPC tools are (at least) as good, or better, for big data processing as the popular JVM-based technologies, such as the Hadoop MapReduce or Apache Spark. The performance …
