Diderot: a Domain-Specific Language for Portable Parallel Scientific Visualization and Image Analysis PROJECT TITLE :Diderot: a Domain-Specific Language for Portable Parallel Scientific Visualization and Image AnalysisABSTRACT:Many algorithms for scientific visualization and image analysis are rooted in the globe of continuous scalar, vector, and tensor fields, but are programmed in low-level languages and libraries that obscure their mathematical foundations. Diderot is a parallel domain-specific language that is designed to bridge this semantic gap by providing the programmer with a high-level, mathematical programming notation that allows direct expression of mathematical ideas in code. Furthermore, Diderot provides parallel performance that takes advantage of contemporary multicore processors and GPUs. The high-level notation allows a concise and natural expression of the algorithms and also the parallelism allows efficient execution on real-world datasets. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest CHCF: A Cloud-Based Heterogeneous Computing Framework for Large-Scale Image Retrieval Computational approaches for understanding the diagnosis and treatment of Parkinson's disease
