Myeongjin Kwak

According to our database, Myeongjin Kwak authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

A comprehensive exploration of approximate DNN models with a novel floating-point simulation framework.

Myeongjin Kwak, Jeonggeun Kim, Yongtae Kim

Perform. Evaluation, 2024

2023

TorchAxf: Enabling Rapid Simulation of Approximate DNN Models Using GPU-Based Floating-Point Computing Framework.

Myeongjin Kwak, Jeonggeun Kim, Yongtae Kim

Proceedings of the 31st International Symposium on Modeling, 2023

2022

Do Not Forget: Exploiting Stability-Plasticity Dilemma to Expedite Unsupervised SNN Training for Neuromorphic Processors.

Myeongjin Kwak, Yongtae Kim

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

2021

Precision Exploration of Floating-Point Arithmetic for Spiking Neural Networks.

Myeongjin Kwak, Hyoju Seo, Yongtae Kim

Proceedings of the 18th International SoC Design Conference, 2021

Training and Inference using Approximate Floating-Point Arithmetic for Energy Efficient Spiking Neural Network Processors.

Myeongjin Kwak, Jungwon Lee, Hyoju Seo, Mingyu Sung, Yongtae Kim

Proceedings of the International Conference on Electronics, Information, and Communication, 2021