Track 6. Multidisciplinary, domain-specific and applied parallel and distributed computing

Track 6. Multidisciplinary, domain-specific and applied parallel and distributed computing

Chairs

* Francisco F. Rivera, University of Santiago de Compostela, Spain
* Domenico Talia, University of Calabria, Italy

Focus

● Applications of numerical algorithms in science and engineering
● Domain-specific libraries and languages in parallel and distributed computing
● Application case-studies for benchmarking and comparative studies of parallel programming models
● Numerical methods for large-scale data analysis
● High-dimensional problems and reduction methods
● Implementation & analysis of parallel numerical algorithms
● Optimization and non-linear problems in parallel and distributed computing
● Parallel numerical linear algebra for dense and sparse matrices
● Partial/ordinary and differential algebraic equations in parallel and distributed computing
● Discrete and combinatorial parallel algorithms
● Parallel metaheuristics and hyperheuristics
● Innovative paradigms, programming models, languages, and libraries for parallel and distributed applications
● Parallel and distributed programming productivity, usability, and component-based parallel programming
● Tensor operations, low-rank approximations
● Data-centric parallel and distributed algorithms for exascale computing