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1. Parallel computing in model-based process engineering
Sammanfattning : Chemical processes are usually expensive to run. To optimise a process, we need to know how the process behaves, and this is usually accomplished by studying the process experimentally. However, experiments are very expensive, particularly if an existing plant has to shut down normal operation to conduct an experiment. LÄS MER
2. Parallel Computing for Applications in Aeronautical CFD
Sammanfattning : .... LÄS MER
3. Scientific Computing on Multicore Architectures
Sammanfattning : Computer simulations are an indispensable tool for scientists to gain new insights about nature. Simulations of natural phenomena are usually large, and limited by the available computer resources. LÄS MER
4. Pattern-based Programming Abstractions for Heterogeneous Parallel Computing
Sammanfattning : Contemporary computer architectures utilize wide multi-core processors, accelerators such as GPUs, and clustering of individual computers into complex large-scale systems. These hardware trends are prevalent across computers of all sizes, from the largest supercomputers down to the smallest mobile phones. LÄS MER
5. Towards Scalable Performance Analysis of MPI Parallel Applications
Sammanfattning : A considerably fraction of science discovery is nowadays relying on computer simulations. High Performance Computing (HPC) provides scientists with the means to simulate processes ranging from climate modeling to protein folding. LÄS MER