Joint throughput and energy optimization for pipelined execution of embedded streaming applications

Authors:
Po-Kuan Huang;Matin Hashemi;Soheil Ghiasi
Affiliations:
University of California, Davis;University of California, Davis;University of California, Davis
Venue:
Proceedings of the 2007 ACM SIGPLAN/SIGBED conference on Languages, compilers, and tools for embedded systems
Year:
2007

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Abstract

We present a methodology for synthesizing streaming applications, modeled as task graphs, for pipelined execution on multi-core architectures. We develop a task graph extraction and characterization framework that accurately determines the structure, computation and communication characteristics of application task graph from its specification in C. Furthermore, we develop a provably optimal algorithm that jointly balances the workload assigned to each core, and minimizes inter-core communication traffic. Experiment results show that our versatile method improves the through-put of streaming applications significantly under a variety of hardware configurations.