One of the ultimate goals is to prototype and validate novel parallel computing frameworks to enable the development of next generation high-performance, scalable software applications, capable of tackling the ever-increasing complexity of real world engineering, design and digital media challenges.
The increasing complexity of maintaining large amounts of code and the progressive transition towards multiprocessing requires a new generation of tools for the early detection and regression testing of parallel computing-related errors. The goal of this research is to identify novel techniques to increase the overall efficiency of managing large code bodies in conjunction with the requirements of additional performance parallel computing can provide.
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