Multi-Core Embedded Computing for Signal Processing - Springer Link
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Multi-Core Embedded Computing for Signal Processing - Springer Link
J Sign Process Syst (2014) 75:93–94 DOI 10.1007/s11265-014-0882-3
Guest Editorial: Multi-Core Embedded Computing for Signal Processing Shang-Hong Lai & Jenq-Kuen Lee & Branislav Kisacanin
Published online: 25 March 2014 # Springer Science+Business Media New York 2014
Embedded systems with multi-core designs are becoming increasingly important for signal processing in recent years. While embedded multi-core system design can significantly improve efficiency for signal processing systems, several critical issues from the hardware and software perspectives of embedded multi-core systems need to be carefully designed for different applications in signal processing. Some of the most important issues are the hardware architecture design, software tools, programming models, and algorithm parallelization for embedded multi-core computing. Usually, the system optimization for the above issues is closely related to the targeted application domain. This special issue focuses on the latest development and technical solutions concerning the multi-core embedded computing for signal processing from the hardware and software perspectives. This special issue consists of six papers related to the multicore embedded computing for signal processing systems. They can be partitioned into three categories: hardware architecture design, system and programming tools, and application-specific algorithm parallelization. Firstly, the paper “EVE: A Flexible SIMD Coprocessor for Embedded Vision Applications”, by Sankaran et al., is focused on the hardware architecture design for embedded vision applications. In this paper, they present a flexible SIMD architecture S.
