Hans Kasan

I am a PhD student at KAIST, advised by Prof. John Kim.
I was a research intern at NVIDIA, under the mentorship of Dennis Abts and Larry Dennison.
My research area mainly focuses on large-scale interconnection networks and distributed training.

Email | CV | Google Scholar | LinkedIn | GitHub

2025

SkipReduce: (Interconnection) Network Sparsity to Accelerate Distributed Machine Learning
Hans Kasan, Dennis Abts, Jungwook Choi, John Kim
MICRO

2024

Ghost Arbitration: Mitigating Interconnect Side-Channel Timing Attacks in GPU
Zhixian Jin, Jaeguk Ahn, Jiho Kim, Hans Kasan, Jina Song, Wonjun Song, John Kim
MICRO

Uncovering Real GPU NoC Characteristics: Implications on Interconnect Architecture
Zhixian Jin, Christopher Rocca, Jiho Kim, Hans Kasan, Minsoo Rhu, Ali Bakhoda, Tor Aamodt, John Kim
MICRO

2023

VVQ: Virtualizing Virtual Channel for Cost-Efficient Protocol Deadlock Avoidance
Hans Kasan, John Kim
HPCA

2022

Dynamic Global Adaptive Routing in High-radix Networks
Hans Kasan, Gwangsun Kim, Yung Yi, John Kim.
ISCA

BoomGate: Deadlock Avoidance in Non-Minimal Routing for High-Radix Networks
Gyuyoung Kwauk, Seungkwan Kang, Hans Kasan, Hyojun Son, John Kim
HPCA

2021

The Case for Dynamic Bias in Global Adaptive Routing
Hans Kasan, John Kim
IEEE CAL Vol. 20

Network-on-Chip Microarchitecture-based Covert Channel in GPUs
Jaeguk Ahn, Jiho Kim, Hans Kasan, Leila Delshadtehrani, Wonjun Song, Ajay Joshi, John Kim
MICRO

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