Guhyun Kim

Orcid: 0000-0001-7076-2818

According to our database1, Guhyun Kim authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
LoL-PIM: Long-Context LLM Decoding with Scalable DRAM-PIM System.
CoRR, 2024

Cost-Effective LLM Accelerator Using Processing in Memory Technology.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits 2024, 2024

LauWS: Local Adaptive Unstructured Weight Sparsity of Load Balance for DNN in Near-Data Processing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

SK Hynix AI-Specific Computing Memory Solution: From AiM Device to Heterogeneous AiMX-xPU System for Comprehensive LLM Inference.
Proceedings of the 36th IEEE Hot Chips Symposium, 2024

IANUS: Integrated Accelerator based on NPU-PIM Unified Memory System.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023
A 1ynm 1.25V 8Gb 16Gb/s/Pin GDDR6-Based Accelerator-in-Memory Supporting 1TFLOPS MAC Operation and Various Activation Functions for Deep Learning Application.
IEEE J. Solid State Circuits, 2023


2022

2021
eWB: Event-Based Weight Binarization Algorithm for Spiking Neural Networks.
IEEE Access, 2021

CBP: backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Simplified calcium signaling cascade for synaptic plasticity.
Neural Networks, 2020

Optimal Distribution of Spiking Neurons Over Multicore Neuromorphic Processors.
IEEE Access, 2020

2019
Markov Chain Hebbian Learning Algorithm With Ternary Synaptic Units.
IEEE Access, 2019

Combination-Encoding Content-Addressable Memory With High Content Density.
IEEE Access, 2019

Stochastic Learning with Back Propagation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019


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