Project reference: 1823 ParaView is ubiquitously used in HPC to provide insight to complex data structures often stored in custom data formats that require transformation before they can be visualised. Furthermore, information is dispersed at many places and one needs…
Project reference: 1820 There is a lot of research around scaling out convolutional neural networks to a large number of compute nodes, as the computational requirements when training complex networks on large-scale datasets become prohibitive. However, most if not all…
Project reference: 1822 The project will consist of: Getting to know Hadoop and RHadoop; Creating and storing big data files (BD); Preparing BD for clustering task; Writing RHadoop code for performing clustering tasks with two clustering algorithms (e.g., k-means and…
Project reference: 1821 Although the topic of creating a scalable, efficient, quantum simulator has been actively pursued by multiple entities in the past years, due to the complexity of the solution required (for example multiple types of gates and formalisms)…
Project reference: 1819 Today’s multi-core, many-core and accelerator hardware provides a tremendous amount of floating point operations (FLOPs). However, CPU and GPU FLOPs cannot be harvested in the same manner. While the CPU is designed to minimize the latency of…
Project reference: 1818 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: 1817 Since the emergence of the Next-Generation Sequencing technologies the number of genomics projects has risen exponentially. Human population genomics is an exciting field for research with significant outputs into clinical medicine. While there was just one human…
Project reference: 1816 In the world of parallel programs, performance plays one of the key roles. There are mature tools (e.g. Scalasca) that enable to inspect the performance of an application, do analysis, and based on this, judge its performance.…
Project reference: 1815 The PI3Ka protein is the most commonly mutated kinase in human malignancies. One of the most common mutations is located in amino acid E545K, where a glutamic acid is replaced by lysine. It has been recently proposed…
Project reference: 1814 Structure-based drug discovery (SBDD) is becoming an essential tool in assisting fast and cost-efficient lead discovery and optimization. The application of rational, structure-based drug design is proven to be more efficient than the traditional way of drug…
Project reference: 1813 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: 1811 The objective of the project will be to improve a data-hub framework (using Apache Kafka, Apache Spark, Elastic Search and Kibana) to collect and to monitor real time environmental data (air composition, groundwater quality, and seismicity data,…
Project reference: 1812 The aim of this project is to explore the effects of upcoming novel hardware, such as NVRAM, on HPC job scheduling. By adapting a workload simulator that is being developed at EPCC to model new hardware, and by using traces…
Project reference: 1810 Energy Efficiency is one of the timeliest problems in managing HPC facilities. Clearly this problem involves many technological issues, including, web visualization, interaction with HPC systems and schedulers, big data analysis, virtual machines manipulations, and authentication protocols. Our…
Project reference: 1809 Visualization of cavitation is currently a very interesting topic. In the project, results from previous HPC simulations will be provided as a base to develop a visualization strategy based on advanced open-source tools. Starting from an already…
Project reference: 1808 This project is, to a large extent, a continuation of the last year’s SoHPC effort, where we demonstrated a notable increase of the efficiency of popular machine learning algorithms, such as K-means, when implemented using C/C++ and…
Project reference: 1807 In calculations of nanotubes methods prevailing are 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 and has been limited…
Project reference: 1806 This project will involve optimising lattice Quantum Chromodynamics (lattice QCD) codes, which currently run on PRACE Tier-0 and other European Peta-scale supercomputers. Lattice QCD is a method to study Quantum Chromodynamics, the theory which describes how quarks…
Project reference: 1805 Lattice Quantum Chromodynamics (lattice QCD) can solve and predict physics in the low energy regime of particle physics where analytical methods such as perturbation theory are not applicable. Realistic simulations of QCD are carried out using Markov…
Project reference: 1803 In this project we want to introduce the student to the field of malleability of scientific applications. We understand malleability as the capacity of a multi-process job to be resized on-the-fly, in other words, to change the…
Project reference: 1802 Energy minimization is critical in current and future computing platforms in fields such as HPC and embedded systems. While for the former it is a requirement to achieve exascale systems, the latter usually features strong power and/or…
Project reference: 1804 This project is based on LAMMPS, a classical molecular dynamics code, used to model atoms or, more generically, as a parallel particle simulator at the atomic, meso, or continuum scale. LAMMPS runs on single processors or in…
Project reference: 1801 The parallel solution of PDEs using numerical methods for unstructured meshes is based on the partitioning of the mesh. All operations, like algebraic system assembly and solution are then performed in parallel, and communications are essentially present…
Early-stage POstgraduate and late-stage undergraduate students are invited to apply for the PRACE Summer of HPC 2017 programme, to be held in July & August 2017. Consisting of a training week and two months on placement at top HPC centres around Europe, the programme affords participants the opportunity to…
Applications are open from 11th of January 2017 to 19th of February 2017. See the Timeline for more details. PRACE Summer of HPC programme is announcing projects for 2017 for preview and comments by students. Please send questions to coordinators directly by the…
