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Efficient FPGA Acceleration of Convolutional Deep Neural Networks File File

ATUL RAHMAN

Thesis Issue Date2016-08 View20

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

Lee, Sugil

Thesis Issue Date2019-08 View43

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

Jeong, Yeonghun

Thesis Issue Date2013-08 View10

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

Jung, Giju

Thesis Issue Date2021-02 View8

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

Oh, Sangyun

Thesis Issue Date2022-08 View14

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

Kim, Jounghyun

Thesis Issue Date2023-02 View12

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

Sim, Hyeonuk

Thesis Issue Date2021-02 View15

Low-Precision Accumulators in Deep Neural Network Accelerators File File

Azat Azamat

Thesis Issue Date2022-08 View23

NP-CGRA File File

Lee, Jungi

Thesis Issue Date2021-02 View9

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

Yu, Minsang

Thesis Issue Date2024-02 View20

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

Hong, Minuk

Thesis Issue Date2024-02 View30

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

Kim, Daewoo

Thesis Issue Date2018-08 View14

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

MAI XUAN TOAN

Thesis Issue Date2013-02 View21

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

Choi, Jooyeon

Thesis Issue Date2020-08 View24

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

Jeong, Seok

Thesis Issue Date2014-02 View17

Sign-Magnitude Stochastic Computing File File

Aidyn Zhakatayev

Thesis Issue Date2018-08 View10

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