Junhyeok Jang

Orcid: 0000-0003-3053-396X

According to our database1, Junhyeok Jang authored at least 19 papers between 2019 and 2026.

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Bibliography

2026
Development and Classroom Evaluation of a Static-Assessment Programming Practice Platform: Scaffolding Intensity and Subsequent-Task Performance.
IEEE Access, 2026

Development and Validation of an AI-Powered OCR Educational Tool for Early Handwriting Instruction for Korean Early Elementary Students.
IEEE Access, 2026

Immersive Technologies (AR/VR) for Computer Science and Computational Thinking Education: A Systematic Literature Review of Trends and Gaps.
IEEE Access, 2026

Deployment of Web-Based Immersive VR in a Korean Elementary Classroom: A Field Study on Earth and Moon Movements.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2026

AutoGNN: End-to-End Hardware-Driven Graph Preprocessing for Enhanced GNN Performance.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

2025
MPI-over-CXL: Enhancing Communication Efficiency in Distributed HPC Systems.
CoRR, October, 2025

From Block to Byte: Transforming PCIe SSDs with CXL Memory Protocol and Instruction Annotation.
CoRR, June, 2025

Efficient Disaggregated Cloud Storage for Cold Videos With Neural Enhancement.
IEEE Micro, 2025

From Block to Byte: Transforming PCIe Solid-State Devices With Compute Express Link Memory Protocol and Instruction Annotation.
IEEE Micro, 2025

CXL-GPU: Pushing GPU Memory Boundaries with the Integration of CXL Technologies.
IEEE Micro, 2025

2024
Bridging Software-Hardware for CXL Memory Disaggregation in Billion-Scale Nearest Neighbor Search.
ACM Trans. Storage, May, 2024

Breaking Barriers: Expanding GPU Memory with Sub-Two Digit Nanosecond Latency CXL Controller.
Proceedings of the 16th ACM Workshop on Hot Topics in Storage and File Systems, 2024

2023
Failure Tolerant Training With Persistent Memory Disaggregation Over CXL.
IEEE Micro, 2023

CXL-ANNS: Software-Hardware Collaborative Memory Disaggregation and Computation for Billion-Scale Approximate Nearest Neighbor Search.
Proceedings of the 2023 USENIX Annual Technical Conference, 2023

GraphTensor: Comprehensive GNN-Acceleration Framework for Efficient Parallel Processing of Massive Datasets.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

COMPSYS 2023 Invited Speaker Efficient Resilience Training of Large-Scale Recommendation Models using CXL Persistent Memory Pooling.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022
PreGNN: Hardware Acceleration to Take Preprocessing Off the Critical Path in Graph Neural Networks.
IEEE Comput. Archit. Lett., 2022

2020
Platform-Agnostic Lightweight Deep Learning for Garbage Collection Scheduling in SSDs.
Proceedings of the 12th USENIX Workshop on Hot Topics in Storage and File Systems, 2020

2019
Faster than Flash: An In-Depth Study of System Challenges for Emerging Ultra-Low Latency SSDs.
Proceedings of the IEEE International Symposium on Workload Characterization, 2019


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