The paper presents a data and task parallel low-level image processing environment for distributed memory systems. Image processing operators are parallelized by data decomposition using algorithmic skeletons. At the application level we use task decomposition, based on the Image Application Task Graph. In this way, an image processing application can be parallelized both by data and task decom...

We propose a modification of our Boolean minimizer BOOM-II enabling a single-level partitioning. The disadvantage of all the present logic synthesis systems is that the minimization and decomposition phases are strictly separated; the minimization process is independent on the subsequent decomposition. We propose a method where the two-level minimization is driven by some decomposition or other...

level abstraction platform portability m architecture 1 architecture algorithm n specific algorithm 1 specific scheme decomosition scheme decomposition 1-dimensional decomposition volume/boundary algorithms with

abstract in this paper,using a structural decomposition analysis (sda) and the latest available input-output tables we investigate the sources of labor productivity growth in norway, south korea and iran. then, the contribution of each source in the growth of labor productivity is discussed. the results show that among six factors, value added coefficient is the most influencing factoracross al...

in this note we consider the notion of intuitionistic fuzzy (weak) dual hyper k-ideals and obtain related results. then we classify this notion according to level sets. after that we determine the relationships between intuitionistic fuzzy (weak) dual hyper k-ideals and intuitionistic fuzzy (weak) hyper k-ideals. finally, we define the notion of the product of two intuitionistic fuzzy (weak) du...

A performance-prediction model is presented, which describes different hierarchical workload decomposition strategies for particle in cell (PIC) codes on Clusters of Symmetric MultiProcessors. The devised workload decomposition is hierarchically structured: a higher-level decomposition among the computational nodes, and a lower-level one among the processors of each computational node. Several ...

Abstract Because the characteristic of wavelet transform is multi-resolution, their unique advantage of the data model is multi-scale analysis. Then, it’s widely used the Wavelet-based multi-scale sensor data fusion technology in many fields. There are two problems in operating process, which are the choice of wavelet base and the choice of decomposition level. The wavelet decomposition level i...

The general goal of music signal decomposition is to represent the music structure into a note level to provide valuable semantic features for further music analysis tasks. In this paper, we propose a new method to sparsely decompose the music signal onto a MIDI dictionary made of musical notes. Statistical music knowledge is further integrated into the whole sparse decomposition process. The p...