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DAC
2007
ACM

Program Mapping onto Network Processors by Recursive Bipartitioning and Refining

9 years 11 months ago
Program Mapping onto Network Processors by Recursive Bipartitioning and Refining
Mapping packet processing applications onto embedded network processors (NP) is a challenging task due to the unique constraints of NP systems and the characteristics of network application domains. A remarkable difference with general multiprocessor task scheduling is that NPs are often programmed into a hybrid parallel and pipeline topology. In this paper, we introduce a multilevel balancing and refining algorithm for NP program mapping. We use a divideand-conquer approach to recursively bipartition the task graph into disjoint subdomains. At each level of bipartition, the processing resources will be co-allocated so that an estimation of throughput can be derived. The bipartition continues until the code of the tasks can be fit into the instruction memory of processing elements. Then the algorithm iteratively refines the solution by migrating tasks from the bottleneck stage to other stages. The performance of our scheme is evaluated with a suite of NP benchmarks using SUIF/Machine ...
Jia Yu, Jingnan Yao, Jun Yang 0002, Laxmi N. Bhuya
Added 12 Nov 2009
Updated 12 Nov 2009
Type Conference
Year 2007
Where DAC
Authors Jia Yu, Jingnan Yao, Jun Yang 0002, Laxmi N. Bhuyan
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