AWS Batch is a fully-managed service that enables developers, scientists, and engineers to easily and efficiently run batch computing workloads of any scale on AWS. The service automatically provisions compute resources and optimizes the workload distribution based on the quantity … Read More
Astrophysics is transforming from a data-starved to a data-swamped discipline, fundamentally changing the nature of scientific inquiry and discovery. New technologies are enabling the detection, transmission, and storage of data of hitherto unimaginable quantity and quality across the electromagnetic, gravity … Read More
Simulation is a fast, controlled, and reproducible way to evaluate new algorithms for distributed computing platforms in a variety of conditions. However, the realism of simulations is rarely assessed, which critically questions the applicability of a whole range of findings. … Read More
The talk gives first an overview of the research conducted at the Institute of Computer Science, University of Innsbruck in the area of parallel and distributed systems. Afterwards, it focuses scientific workflows (our common topic of interest) by presenting research … Read More
Gordon Moore’s 1965 prediction of continued semiconductor device down-scaling and circuit up-scaling has become a self-fulfilling prophesy in the past 40 years. Open source code development and sharing of the process modeling software SUPREM and the circuit modeling software SPICE … Read More
ENVRIplus is a Horizon 2020 project bringing together Environmental and Earth System Research Infrastructures (RIs), projects and networks together with technical specialist partners to create a more coherent, interdisciplinary and interoperable cluster of Environmental Research Infrastructures across Europe. It is … Read More
Workflows have proved to be an excellent medium for representing scientific methods in general and especially also in the areas life sciences and chemistry. In the last 20 years quite a few mature workflow engines and workflow editors with diverse … Read More
The performance of parallel schedulers is a crucial factor in the efficiency of high performance computing environments. Focusing on improving certain metrics, we must evaluate scheduler performances in realistic testing environments. Since real users submit jobs to their respective system, … Read More
Big data has become a buzz word. Among various big-data challenges, real-time data analytics has been identified as one of the most exciting and promising areas for both academia and industry. We are facing the challenges at all levels ranging … Read More
In most scientific domains, results are now obtained thanks to computational science that heavily relies on numerical simulations. This in turn leads to an tremendous increase in size and complexity of the needed computing infrastructures. The performance assessment of such … Read More