Jaeha Kung

Korea University

South Korea

Research Interests

Explore related searches

Professors in South Korea Professors in Deep Learning Deep Learning professors in South Korea

Contact this professor

LinkedIn

Google Scholar

Articles (11)

FlexBlock: A Flexible DNN Training Accelerator With Multi-Mode Block Floating Point Support

Year:

2023

Simplified Compressor and Encoder Designs for Low-Cost Approximate Radix-4 Booth Multiplier

Year:

2023

FlexBlock: A Flexible DNN Training Accelerator With Multi-Mode Block Floating Point Support

Year:

2023

ReplaceNet: real-time replacement of a biological neural circuit with a hardware-assisted spiking neural network

Year:

2023

SEMS: Scalable Embedding Memory System for Accelerating Embedding-Based DNNs

Year:

2022

A 46-nF/10-MΩ Range 114-aF/0.37-Ω Resolution Parasitic- and Temperature-Insensitive Reconfigurable RC-to-Digital Converter in 0.18-μm CMOS

Year:

2022

Implication of Optimizing NPU Dataflows on Neural Architecture Search for Mobile Devices

Year:

2022

AutoRelax: HW-SW Co-Optimization for Efficient SpGEMM Operations With Automated Relaxation in Deep Learning

Year:

2022

Design and Analysis of Approximate Compressors for Balanced Error Accumulation in MAC Operator

Year:

2021

Deep Partitioned Training From Near-Storage Computing to DNN Accelerators

Year:

2021

High-throughput Near-Memory Processing on CNNs with 3D HBM-like Memory

Year:

2021

Collaborators (3)

Youngjoo Lee

Assistant Professor

Pohang University of Science and Technology

SOUTH KOREA

Ji-Hoon Kim

Ewha Womans University

SOUTH KOREA

Sungjin Lee

Soongsil University

SOUTH KOREA

Social connections

How do I reach out?

Sign in for free to see their profile details and contact information.

Meet Kite AI