Rule-Based Data Communication Optimization Using Quantitative Communication Profiling

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Provided by: Institute of Electrical & Electronic Engineers
Topic: Hardware
Format: PDF
Multicore architectures, especially hardware accelerator systems with heterogeneous processing elements, are being increasingly used due to the increasing processing demand of modern digital systems. However, data communication in multicore architectures is one of the main performance bottlenecks. Therefore, reducing data communication overhead is an important method to improve the speed-up of such systems. In this paper, the authors propose a heuristic-based approach to address the data communication bottleneck. The proposed approach uses a detailed quantitative data communication profiling to generate interconnect designs automatically that are relatively simple, low overhead and low area solutions.
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