Hyeran Jeon

Orcid: 0000-0002-1767-8198

According to our database1, Hyeran Jeon authored at least 39 papers between 2010 and 2024.

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Bibliography

2024
Cross-core Data Sharing for Energy-efficient GPUs.
ACM Trans. Archit. Code Optim., September, 2024

ReDistill: Residual Encoded Distillation for Peak Memory Reduction.
CoRR, 2024

Barre Chord: Efficient Virtual Memory Translation for Multi-Chip-Module GPUs.
Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

2023
MEMO : Accelerating Transformers with Memoization on Big Memory Systems.
CoRR, 2023

Understanding System Resilience for Converged Computing of Cloud, Edge, and HPC.
Proceedings of the High Performance Computing, 2023

Decepticon: Attacking Secrets of Transformers.
Proceedings of the IEEE International Symposium on Workload Characterization, 2023

Understanding Scalability of Multi-GPU Systems.
Proceedings of the 15th Workshop on General Purpose Processing Using GPU, 2023

2022
Hydra: Hybrid Server Power Model.
CoRR, 2022

Revealing Secrets From Pre-trained Models.
CoRR, 2022

Characterization of Semantic Segmentation Models on Mobile Platforms for Self-Navigation in Disaster-Struck Zones.
IEEE Access, 2022

2021
A New Foe in GPUs: Power Side-Channel Attacks on Neural Network.
Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

Sentinel: Efficient Tensor Migration and Allocation on Heterogeneous Memory Systems for Deep Learning.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

2020
Work-in-Progress: Enabling Edge-based Self-Navigation in Earthquake-Struck Zones.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2020

2019
Locality-Aware GPU Register File.
IEEE Comput. Archit. Lett., 2019

Tango: A Deep Neural Network Benchmark Suite for Various Accelerators.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2019

Understanding of GPU Architectural Vulnerability for Deep Learning Workloads.
Proceedings of the 2019 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2019

Going Deeper or Wider: Throughput Prediction for Cluster Tools with Machine Learning.
Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, 2019

Detailed Characterization of Deep Neural Networks on GPUs and FPGAs.
Proceedings of the 12th Workshop on General Purpose Processing Using GPUs, 2019

CORF: Coalescing Operand Register File for GPUs.
Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2018
CTA-Aware Prefetching and Scheduling for GPU.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Parallelizing Deep Packet Inspection on GPU.
Proceedings of the Fourth IEEE International Conference on Big Data Computing Service and Applications, 2018

2017
Improving Energy Efficiency of GPUs through Data Compression and Compressed Execution.
IEEE Trans. Computers, 2017

The NVIDIA AI City Challenge.
Proceedings of the 2017 IEEE SmartWorld, 2017

Edge-based street object detection.
Proceedings of the 2017 IEEE SmartWorld, 2017

CNN-Based Android Malware Detection.
Proceedings of the International Conference on Software Security and Assurance, 2017

Pilot Register File: Energy Efficient Partitioned Register File for GPUs.
Proceedings of the 2017 IEEE International Symposium on High Performance Computer Architecture, 2017

Intelligent Learning Systems Design for Self-Defense Education.
Proceedings of the Third IEEE International Conference on Big Data Computing Service and Applications, 2017

Smart Illegal Dumping Detection.
Proceedings of the Third IEEE International Conference on Big Data Computing Service and Applications, 2017

2016
Warped-Slicer: Efficient Intra-SM Slicing through Dynamic Resource Partitioning for GPU Multiprogramming.
Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016

2015
GPU register file virtualization.
Proceedings of the 48th International Symposium on Microarchitecture, 2015

Warped-compression: enabling power efficient GPUs through register compression.
Proceedings of the 42nd Annual International Symposium on Computer Architecture, 2015

Revealing Critical Loads and Hidden Data Locality in GPGPU Applications.
Proceedings of the 2015 IEEE International Symposium on Workload Characterization, 2015

Warped-RE: Low-Cost Error Detection and Correction in GPUs.
Proceedings of the 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2015

2014
Efficient RAS support for die-stacked DRAM.
Proceedings of the 2014 International Test Conference, 2014

Graph processing on GPUs: Where are the bottlenecks?
Proceedings of the 2014 IEEE International Symposium on Workload Characterization, 2014

2013
Investigating hybrid SSD FTL schemes for Hadoop workloads.
Proceedings of the Computing Frontiers Conference, 2013

2012
Warped-DMR: Light-weight Error Detection for GPGPU.
Proceedings of the 45th Annual IEEE/ACM International Symposium on Microarchitecture, 2012

2010
Load Unbalancing Strategy for Multicore Embedded Processors.
IEEE Trans. Computers, 2010

Parallel Exact Inference on a CPU-GPGPU Heterogenous System.
Proceedings of the 39th International Conference on Parallel Processing, 2010


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