Proceedings of the 2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD) 2013
DOI: 10.1109/cscwd.2013.6580946
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Efficient custom instruction generation based on characterizing of basic blocks

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Cited by 2 publications
(5 citation statements)
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“…Fig. 4 Framework of Custom instruction For validating our strategy, we use benchmark of Trimaran and gain CI candidates by using identification algorithm in [5] as inputs to strategy. Then output estimation results to CI generation as a selection criteria.…”
Section: Resultsmentioning
confidence: 99%
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“…Fig. 4 Framework of Custom instruction For validating our strategy, we use benchmark of Trimaran and gain CI candidates by using identification algorithm in [5] as inputs to strategy. Then output estimation results to CI generation as a selection criteria.…”
Section: Resultsmentioning
confidence: 99%
“…Performance enhancement is estimated by measuring reduction of execution cycle. Based on characterizing of basic blocks to explore CI candidates, Liang proposed an efficient custom instruction generation algorithm in [5]. Meanwhile Liang adopted CDFG (Control Data Flow Graph) as IR.…”
Section: Fig1 Data-path Of CI Candidatesmentioning
confidence: 99%
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“…We selected a unique set of valid BCs to overlap original DFGs of CI candidates by using a heuristic algorithm of graph overlapping in [5] (e.g. BC 1 and BC 2 in Figure 3c).…”
Section: Bc Overlappingmentioning
confidence: 99%
“…Based on characterizing of basic blocks to explore CI candidates, Liang proposed an efficient custom instruction generation algorithm in [5] [6].…”
Section: Introductionmentioning
confidence: 99%