This training event started with an introductory talk to provide a view of high-performance data analytics (HPDA) from the HiDALGO perspective. The main concepts were presented, listing the tools that have been used, together with information about benchmarks the consortium have done (as a source of information about their scalability). This introduction also presented how these tools are being applied in HiDALGO, in order to solve different problems.
Hardware in various environments such as High Performance Computing, the Internet of Things and Embedded Systems has become heterogeneous in order to improve computational performance. Customising the hardware for particular application domains as well as the use of accelerators such as GPUs, TPUs, DSPs, FPGAs is attractive as it can lead to performance improvements of up to three orders of magnitude compared to general-purpose processors.
Robert Elsässer from HiDALGO will give a guest lecture, titled "Spectral methods to compute "eigenvalue histograms" (estimates of eigenvalue frequencies) for graph Laplacians and other LA apps that rely on iterative solvers (e.g in PETCs).", during the Iterative Solvers for Linear Systems course at HLRS on March 8-10, 2021.
A group of scientists from the EU-funded project HIDALGO collaboratively organised a workshop to discuss pressing issues like the spread of diseases (Covid-19), climate change, air pollution, forced migration, or false and misleading information on twitter and other channels. The speakers showed that HPC, HPDA and Artificial Intelligence could form a pathway to accurately model, simulate, and also to provide forecasts (e.g.
HiDALGO co-organises the "First Joint CoEs Technical Workshop" together with the Centres of Excellence EXCELLERAT and HiDALGO.
This event, which takes place on 27-29 January 2021, is open to HiDALGO, ChEESE and EXCELLERAT partners. Members of other CoEs may also participate.
Several HiDALGO partners present in this event:
Load Balancing session
Robert Elsässer (PLUS): "On Discrete Load Balancing with Diffusion Type Algorithms"
"The HiDALGO project focusses on modelling and simulating the complex processes which arise in connection with major global challenges. The researchers have developed the Flu and Coronavirus Simulator (FACS) with the objective to support decision makers to provide an appropriate response to the current pandemic situation taking into account health and care capabilities...."
HiDALGO provides a customer support and a community forum for users that want to dive a little deeper or need help while using HiDALGO Technologies in the Global System Science HPC applications.
The HiDALGO Centre of Excellence makes its products and services easily accessible in a single place: The HiDALGO Customer Portal. The portal introduces complex technologies (HPC, HPDA and AI) and infrastructures with a user-friendly graphical interface to make it easier for non-technical users to get the information and support they are looking for.