%0 Conference Paper %B 2010 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP) %D 2010 %T Buffer management for multi-application image processing on multi-core platforms: Analysis and case study %A Ko,Dong-Ik %A Won, N. %A Bhattacharyya, Shuvra S. %K block-based image data %K buffer memory management %K buffer storage %K concurrently-executing image processing application %K data flow computing %K data flow representation %K data subset %K Dataflow %K Digital signal processing %K Energy consumption %K Energy management %K Engineering management %K FIFO buffer sizes %K Hardware %K Image analysis %K IMAGE PROCESSING %K image processing application %K image representation %K interprocessor communication %K memory architecture %K Memory management %K multiapplication image processing %K multicore image processing %K multiprocessing %K on-chip memory %K power consumption %K power consumption overhead %K Runtime %K scheduling %K set theory %K shared memory %K storage management chips %K synchronization overhead %X Due to the limited amounts of on-chip memory, large volumes of data, and performance and power consumption overhead associated with interprocessor communication, efficient management of buffer memory is critical to multi-core image processing. To address this problem, this paper develops new modeling and analysis techniques based on dataflow representations, and demonstrates these techniques on a multi-core implementation case study involving multiple, concurrently-executing image processing applications. Our techniques are based on careful representation and exploitation of frame- or block-based operations, which involve repeated invocations of the same computations across regularly- arranged subsets of data. Using these new approaches to manage block-based image data, this paper demonstrates methods to analyze synchronization overhead and FIFO buffer sizes when mapping image processing applications onto heterogeneous, multi core architectures. %B 2010 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP) %P 1662 - 1665 %8 2010 %G eng