Scholarworks@UNIST

UNIST Library

Search

Browsing by Author : Lee, Jongeun

All A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

가 나 다 라 마 바 사 아 자 차 카 타 파 하

Sort by: In order: Results/Page Etal:

Showing results 1 to 20 of 20

Application-Level Performance Improvement for Stream Program on CGRA-based systems File File

Thesis Issue Date2016-02 View52

Communication-aware Mapping of Stream Graphs for Multi-GPU Platforms File File

Thesis Issue Date2016-02 View50

Compiler/Accelerator Co-Design Method for Binarzied Neural Networks File File

Thesis Issue Date2023-02 View34

Efficient FPGA Acceleration of Convolutional Deep Neural Networks File File

Thesis Issue Date2016-08 View48

Efficient Mitigation Methods of Nonidealities in ReRAM-based Deep Neural Network Accelerators File

Thesis Issue Date2024-08 View45

Efficient Sneak Path-aware Training of Binarized Neural Networks for RRAM Crossbar Arrays File File

Thesis Issue Date2019-08 View71

EVALUATOR-EXECUTOR TRANSFORAMTION FOR EFFICIENT CONDITIONAL STATEMENTS ON CGRA File File

Jeong, Yeonghun

Thesis Issue Date2013-08 View45

Free Parameter Tuning for solving non-idealities of ReRAM Crossbar Array File File

Thesis Issue Date2021-02 View66

Hardware-Friendly Compression Methods for Low-Cost Deep Neural Networks File File

Thesis Issue Date2022-08 View50

Improving Binarized MobileNet by Searching Group Parameters and Inter-Block Skip Connections File File

Thesis Issue Date2023-02 View31

Low-Cost Deep Convolutional Neural Network Acceleration with Stochastic Computing and Quantization File File

Thesis Issue Date2021-02 View60

Low-Precision Accumulators in Deep Neural Network Accelerators File File

Thesis Issue Date2022-08 View60

NP-CGRA File File

Thesis Issue Date2021-02 View36

PyAIM: pynq-based scalable analog in-memory computing prototyping platform File File

Thesis Issue Date2024-02 View61

Real hardware-based RRAM error compensation and characterization for deep learning acceleration File

Thesis Issue Date2024-02 View67

RECONFIGURABLE SIMD MULTIPLY-AND-ACCUMULATOR AND EFFICIENT ON-CHIP TRAINING OF DEEP NEURAL NETWORKS File File

Thesis Issue Date2018-08 View32

RUNTIME AND INSTALL-TIME BINARY TRANSLATION FOR RECONFIGURABLE ACCELERATORS File File

Thesis Issue Date2013-02 View46

Scalable Accelerator for Nonuniform Multi-Word Log-Quantized Neural Network File File

Thesis Issue Date2020-08 View60

SCALING KERNEL SPEEDUP TO APPLICATION-LEVEL PERFORMANCE WITH CGRAS File File

Thesis Issue Date2014-02 View67

Sign-Magnitude Stochastic Computing File File

Aidyn Zhakatayev

Thesis Issue Date2018-08 View24

1

RSS 1.0 RSS 2.0

CONTACT US

UNIST | Library

Tel : 052-217-1404 / Email : scholarworks@unist.ac.kr

Copyright (c) 2023 by UNIST LIBRARY. All rights reserved.

ScholarWorks@UNIST was established as an OAK Project for the National Library of Korea.

Anonymous

Login

Guide