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Combined with his knowledge of the mixed and digital hardware implementations, he will continue to the researches about the pattern matching scheme using many-core system. In his dissertation, the parallel string matching scheme was proposed for reducing hardware cost. Even though the string pattern matching schemes were studied for the many applications in the deep packet inspection, he think that the pattern matching scheme for more complex patterns should be adopted using many cores for the success of industrial fields.
For the era of 10G and 100G networking environments, the existing hardware/software techniques cannot guarantee the performance in the networking environments. Both smart offloading technique and novel idea should be considered to support high speed networking environments. In addition, virtual networking environments have been prevalent, which degrades the networking performance. In order to overcome the limitation of the existing hardware/software techniques, algorithms and techniques for enhancing networking performance are being studied.
Prof. Kim started researches in the field of neural network implementation from his sabbatical year. He has interests in applying the approximate computing and stochastic computing to the neural network implementation. On the other hand, the application of neural networks is very interesting for him.
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On-going researches
국가
대한민국
소속기관
단국대학교 (학교)
연락처
031-8005-3636 https://sites.google.com/site/dankooksoc/
책임자
김현진 hyunjin2@dankook.ac.kr