ScholarWorks@Hanyang University: Choi, Jung wook

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Choi, Jung wook (최정욱)

COLLEGE OF ENGINEERING (SCHOOL OF ELECTRONIC ENGINEERING)

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Tel 02-2220-2352
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Licenses:3||NAND flash memory:3||Memory management:3||Machine learning:2||Compaction:2||Random access memory:2||Training:2||Training data:2||Transformer:2||flash translation layer:2||Hardware:2||Reliability:2||accelerator:2||Computer architecture:2||logstructured merge tree:2||Artificial intelligence:2||systolic array:2||Inference:2||Buffer management:2||transformer:2||BERT:2||NAND flash storage:2||Flash memories:2||Performance evaluation:2||Inference algorithms:1||Internal antenna:1||Layer fusion:1||Machine learning accelerators:1||Matrix multiplication:1||Microprocessors:1||MobileNet:1||Multiband antenna:1||NAND cell operation:1||NVIDIA Jetson AGX Xavier:1||Object detection:1||Page register:1||Planar invertedF antenna (PIFA):1||Quantizationaware training:1||ReRAM:1||Reducedprecision:1||Resource management:1||SQNR:1||SSD:1||Scheduling:1||Semantics:1||Smart devices:1||Software stack for AI:1||Solidstate drive:1||Special issues and sections:1||Systemonchip:1||Task analysis:1||TensorRT:1||Time factors:1||Virtual private networks:1||Wideband antenna:1||Writing:1||address translation:1||analytic cost model:1||artificial intelligence (AI):1||binarized deconvolution:1||binarized segmentation network:1||convolution:1||convolutional neural network:1||dataflow optimization:1||deep learning accelerator:1||deep neural network:1||deep neural networks (DNNs):1||exponent bias:1||fieldprogrammable gate array (FPGA):1||flash memory:1||flash storage:1||flash storage system:1||floatingpoint:1||hardware accelerators:1||hybrid NAND storage:1||keyvalue store:1||local register file:1||lookup table:1||lookup table approximation:1||machine learning (ML):1||map cache:1||memory management:1||multiapplication:1||multihead attention:1||neural network:1||neural network accelerator:1||neural networks:1||nonlinear function:1||nonlinear operation:1||nonvolatile memory:1||openchannel SSD:1||physicallyaddressable SSD:1||posttraining quantization:1||pruning:1||realtime systems:1||rearrangement of computational sequence:1||reduced precision DNN:1||reduced precision computation:1||reducedprecision:1||solidstate drive:1||tensor core:1||training:1||zeroaware deconvolution:1||AI accelerators:1||zeroskip deconvolution:1||AI thermometer system:1||Acceleration:1||Approximate computing:1||Artificial neural networks:1||Ash:1||Bandwidth:1||Bars:1||Binarized neural network:1||Buffer storage:1||CNN:1||Cache storage:1||Command scheduling:1||Data placement:1||Databases:1||Deconvolution:1||Deep Learning:1||Deep neural networks:1||Degradation:1||Delays:1||Embedded software:1||Flash translation layer:1||Image segmentation:1||Implementation:1||

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222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365

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