One of the main causes of hardware failure in large-scale clusters is an uncorrected error in main memory [1]–[4]. Node failures are especially problematic in high-performance computing (HPC), where a single tightly-coupled ...

An algebraic linelet preconditioner is presented, which works in parallel regardless of the mesh’s geometry and without imposing constraints on the domain partition. It is designed to deal with highly anisotropic meshes. ...

Quantum computing is emerging as a new computational paradigm that promises substantial speed-ups (exponential in some cases [1]) for a variety of problems, with a potentiallylarge impact on science, knowledge and ...

A common task in Earth Sciences is to infer climate information at local and regional scales from global climate models. An alternative to running expensive numerical models at high resolution is to use statistical downscaling ...

Atmospheric models are a representation of dynamical, physical, chemical, dynamical, and radiative processes in the atmosphere [1]. Most of the algorithms used in these models have been developed decades ago. With the ...

We present a nodal interpolation method to approximate a subdivision model. The main application is to model and represent curved geometry without gaps and preserving the required simulation intent. Accordingly, the ...

Scientific computation problems have been faced with the need to analyze increasing amounts of data as part of their application workflows, and the science-based model is being combined with big data and machine learning ...

Designing and building supercomputers is a complex task in the field of high-performance computing (HPC). The hardware, middleware and algorithms need to effectively collaborate to achieve ideal results for massive and ...

Biomedical multilayer networks offer a wide range of possibilities for the interpretation of the molecular basis of diseases; a particularly challenging task in the case of rare diseases, where the number of cases is ...

Sparsematrix operations are critical kernels inmultiple application domains such as High Performance Computing, artificial intelligence and big data. Vector processing is widely used to improve performance on mathematical ...

The state-of-the-art techniques to tune the numerical parameters of reservoir simulators are based on running numerous simulations, specific for that purpose, to find good candidates. As the simulations for real petroleum ...

As the aging population grows progressively around the globe, the need to research and develop strategies to healthy aging is ever more critical and takes on new urgency1. Primary hallmarks of aging include cell autonomous ...

Epidemiological evidence shows that some diseases tend to co-occur more than expected by chance and that patientspecific trends are observed. However, the molecular processes underlying these phenomena remain unclear. Here ...

As demonstrated by recent mega-tsunamis, tsunami coastal inundation could vary substantially as a result of the source characteristics and the local geomorphologic-related- effects. Here, numerical simulations are used ...

The term inter-species hybridisation refers to the crossing of two divergent organisms, leading to a situation where the two parental genomes coexist in the same nuclear compartment. In higher eukaryotes, this scenario ...

Poverty and social exclusion are a reality in every society. They are complex problems that require updated information and access to scattered data sources to make a proper assessment of a person’s situation. To help ...

Mineral dust is amongst the largest contributors to the global aerosol mass load and dominates climate effects over large areas of the Earth. Dust undergoes heterogeneous chemical reactions during transport that increase ...