Efficient and effective packing and analytical placement for large-scale heterogeneous FPGAs
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: 2014DOI: 10.1109/IISA.2014.6878725
Keyword(s): data acquisition,n data mining,n food processing industry,n globalisation,n innovation management,n recurrent neural nets,n small-to-medium enterprises,n Apulia region,n Elman neural network,n Greece,n I.S.C.I. project,n Innovative Services-to-Strengthen Cooperation-and-Internationalization-between SME project,n Ionian Islands,n Italy,n SME questinnare,n agro food industry,n data analysis,n data mining technique,n expert mental processing
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Efficient and effective packing and analytical placement for large-scale heterogeneous FPGAs
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| contributor author | Chen, Yu-Chen | |
| contributor author | Chen, Sheng-Yen | |
| contributor author | Chang, Yao-Wen | |
| date accessioned | 2020-03-12T22:17:23Z | |
| date available | 2020-03-12T22:17:23Z | |
| date issued | 2014 | |
| identifier other | 7001421.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1077825?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Efficient and effective packing and analytical placement for large-scale heterogeneous FPGAs | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8214087 | |
| subject keywords | data acquisition | |
| subject keywords | n data mining | |
| subject keywords | n food processing industry | |
| subject keywords | n globalisation | |
| subject keywords | n innovation management | |
| subject keywords | n recurrent neural nets | |
| subject keywords | n small-to-medium enterprises | |
| subject keywords | n Apulia region | |
| subject keywords | n Elman neural network | |
| subject keywords | n Greece | |
| subject keywords | n I.S.C.I. project | |
| subject keywords | n Innovative Services-to-Strengthen Cooperation-and-Internationalization-between SME project | |
| subject keywords | n Ionian Islands | |
| subject keywords | n Italy | |
| subject keywords | n SME questinnare | |
| subject keywords | n agro food industry | |
| subject keywords | n data analysis | |
| subject keywords | n data mining technique | |
| subject keywords | n expert mental processing | |
| identifier doi | 10.1109/IISA.2014.6878725 | |
| journal title | omputer-Aided Design (ICCAD), 2014 IEEE/ACM International Conference on | |
| filesize | 1170338 | |
| citations | 0 |