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- W4249405339 abstract "Chip multiprocessors are gaining popularity as they are very suitable for data-intensive embedded and high-end processing. In particular, array-intensive embedded image and video applications can benefit a lot from these architectures due to coarse-grain parallelization they offer. However, if not optimized, interprocessor communication can be a major energy consumer. Focusing on a distributed memory chip multiprocessor architecture and array-intensive embedded applications, this paper proposes a compiler-based communication minimization strategy based on data replication. The proposed scheme replicates shared data items across the memories of the processors in a controlled fashion (i.e., under a memory limit), with the goal of eliminating the otherwise necessary interprocessor communication." @default.
- W4249405339 created "2022-05-12" @default.
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- W4249405339 date "2005-07-19" @default.
- W4249405339 modified "2023-10-04" @default.
- W4249405339 title "Using data replication to reduce communication energy on chip multiprocessors" @default.
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- W4249405339 doi "https://doi.org/10.1109/aspdac.2005.1466454" @default.
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