This book presents a new set of embedded system design techniques called multidimensional data flow, which combine the various benefits offered by existing methodologies such as block-based system design, high-level simulation, system analysis and polyhedral optimization. It describes a novel architecture for efficient and flexible high-speed communication in hardware that can be used both in manual and automatic system design and that offers various design alternatives, balancing achievable throughput with required hardware size. This book demonstrates multidimensional data flow by showing its potential for modeling, analysis, and synthesis of complex image processing applications. These applications are presented in terms of their fundamental properties and resulting design constraints. Coverage includes a discussion of how far the latter can be met better by multidimensional data flow than alternative approaches. Based on these results, the book explains the principles of fine-grained system level analysis and high-speed communication synthesis. Additionally, an extensive review of related techniques is given in order to show their relation to multidimensional data flow.SA-C [91, 216, 250, 290] is a variant of the C language and has been developed in the context of the Cameron project [68, 128]. ... primitive for sliding window algorithms in order to describe image processing kernels like a median filter or a wavelet transform. ... For this purpose, the SA-C code is translated into an extended data flow representation. ... 3.2.4 DEFACTO DEFACTO (Design Environment for Adaptive Computing Technology) [88, 44 3 Fundamentals and Related Work 3.2.2anbsp;...
|Title||:||Design of Image Processing Embedded Systems Using Multidimensional Data Flow|
|Author||:||Joachim Keinert, Jürgen Teich|
|Publisher||:||Springer Science & Business Media - 2010-11-18|