Project reference: 1912 The focus of this project will be on enhancing further hybrid (e.g. stochastic/ deterministic) methods for Linear Algebra adding Deep Learning techniques. The focus is on Monte Carlo hybrid methods and algorithms for matrix inversion and solving …
Project reference: 1908 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 Python programs on new HPC architectures Read More »
Project reference: 1907 EPCC has developed a small, portable Raspberry-pi based cluster which is taken to schools, science festivals etc. to illustrate how parallel computers work. It is called “Wee ARCHIE” (in fact there are two versions in existence) because …
Project reference: 1906 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 …
Anomaly detection of system failures on HPC machines using Machine Learning Techniques Read More »
Project reference: 1905 I/O is recognized to be the main bottleneck to achieve the Exascale computing, which is up to 1000x faster than current Petascale systems. The main cause can be identified in the disproportion of the rate of change between …
IN SItu/Web visualizatioN of CFD Data Using OpenFOAM Read More »
Project reference: 1904 In calculations of nanotubes prevail methods based on a one-dimensional translational symmetry using a huge unit cell. A pseudo two-dimensional approach, when the inherent helical symmetry of general chirality nanotubes is exploited, has been limited to simple …
Project reference: 1903 The goal of the project is to demonstrate that HPC tools are (at least) as good, or even better, for big data processing as the popular JVM-based technologies, such as the Hadoop MapReduce or Apache Spark. The …
Project reference: 1902 Supercomputers are a key tool for professionals from many disciplines to address society challenges, enabling them to perform, e. g., climate change simulations or genome analysis. European Commission’s high-performance computing (HPC) Strategy, implemented in the Horizon 2020 …
Project reference: 1901 Supercomputers are a key tool for professionals from many disciplines to address society challenges, enabling them to perform, e. g., climate change simulations or genome analysis. European Commission’s high-performance computing (HPC) Strategy, implemented in the Horizon 2020 …
Analysing effects of profiling in heterogeneous memory data placement Read More »
