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39 Editorial: Special Section on CAPA'09 This is the third special issue from the series Configurable Computing: Configuring Algorithms, Processes and Architectures (CAPA) published in ACM TECS. Embedded computing systems have become an essential part of modern life; about 90% of computer applications are embedded systems. A range of complex, intelligent embedded applications require high-performance systems implemented as multicore systems and heterogeneous parallel processing systems. This involves reconfigurable computing technologies across mobile, embedded, and HPC domains. For many applications, FPGAs are a tremendously efficient computational fabric. Embedding applications onto dedicated computing systems requires the simultaneous study of applications, algorithms, and architecture. These three parts impose specific requirements and restrictions on the system design. Applications define the general requirements for the size (usually the device must be small and lightweight), power consumption (usually with very low consumption), performance (usually with high performance), and connections with the environment (usually wireless). The algorithm must fit the architecture and the architecture must fit the algorithm. To achieve a best match, one has to be able to (re)configure the architecture as well the algorithms. Coupling this with the multiprocessing requirements where several computational processes are running on the same computational space (formed from
ACM Transactions on Embedded Computing Systems (TECS) – Association for Computing Machinery
Published: Aug 1, 2012
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