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전체 가 나 다 라 마 바 사 아 자 차 카 타 파 하

Showing results 1 to 4 of 4

A large-scale graph processing method for multi-at-tribute graphs using GPUs and SSDs

Thesis
A large-scale graph processing method for multi-at-tribute graphs using GPUs and SSDs
  • An, Kyu Hyeon
  • 2017
  • An, Kyu Hyeon. (2017). A large-scale graph processing method for multi-at-tribute graphs using GPUs and SSDs. doi: 10.22677/thesis.2324205
  • DGIST
  • View : 1177
  • Download : 502

A large-scale sparse matrix multiplication method based on streaming matrix to GPUs

Thesis
A large-scale sparse matrix multiplication method based on streaming matrix to GPUs
  • Yuk, Ji Hwan
  • 2017
  • Yuk, Ji Hwan. (2017). A large-scale sparse matrix multiplication method based on streaming matrix to GPUs. doi: 10.22677/thesis.2326441
  • DGIST
  • View : 1083
  • Download : 396

A multilayer networks analysis for mining quantification rules from big proteomics data

Thesis
A multilayer networks analysis for mining quantification rules from big proteomics data
  • Jin, Su Hyoen
  • 2017
  • Jin, Su Hyoen. (2017). A multilayer networks analysis for mining quantification rules from big proteomics data. doi: 10.22677/thesis.2329752
  • DGIST
  • View : 892
  • Download : 309

A Software Platform for Somatic Variant Calling using Next-generation Sequencing Data

Thesis
A Software Platform for Somatic Variant Calling using Next-generation Sequencing Data
  • Kim, Seon Ho
  • 2015
  • Kim, Seon Ho. (2015). A Software Platform for Somatic Variant Calling using Next-generation Sequencing Data. doi: 10.22677/thesis.2076295
  • DGIST
  • View : 674
  • Download : 359
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