A Distributed Signature Detection Method for Detecting Intrusions in Sensor Systems. - Ilkyu Kim; Doohwan Oh; Myung Kuk Yoon; Kyueun Yi; Won Woo Ro (Sensors, 2013)

DRAW: investigating benefits of adaptive fetch group size on GPU. - Myung Kuk Yoon; Yunho Oh; Sangpil Lee; Seung-Hun Kim; Deokho Kim; Won Woo Ro (ISPASS, 2015)

Warped-preexecution: A GPU pre-execution approach for improving latency hiding. - Keunsoo Kim; Sangpil Lee; Myung Kuk Yoon; Gunjae Koo; Won Woo Ro; Murali Annavaram (HPCA, 2016)

APRES: Improving Cache Efficiency by Exploiting Load Characteristics on GPUs. - Yunho Oh; Keunsoo Kim; Myung Kuk Yoon; Jong Hyun Park; Yongjun Park 001; Won Woo Ro; Murali Annavaram (ISCA, 2016)

Virtual Thread: Maximizing Thread-Level Parallelism beyond GPU Scheduling Limit. - Myung Kuk Yoon; Keunsoo Kim; Sangpil Lee; Won Woo Ro; Murali Annavaram (ISCA, 2016)

Dynamic Resizing on Active Warps Scheduler to Hide Operation Stalls on GPUs. - Myung Kuk Yoon; Yunho Oh; Seung Hun Kim; Sangpil Lee; Deokho Kim; Won Woo Ro (IEEE Trans. Parallel Distributed Syst., 2017)

FineReg: Fine-Grained Register File Management for Augmenting GPU Throughput. - Yunho Oh; Myung Kuk Yoon; William J. Song; Won Woo Ro (MICRO, 2018)

WASP: Selective Data Prefetching with Monitoring Runtime Warp Progress on GPUs. - Yunho Oh; Myung Kuk Yoon; Jong Hyun Park; Yongjun Park 001; Won Woo Ro (IEEE Trans. Computers, 2018)

Adaptive Cooperation of Prefetching and Warp Scheduling on GPUs. - Yunho Oh; Keunsoo Kim; Myung Kuk Yoon; Jong Hyun Park; Yongjun Park 001; Murali Annavaram; Won Woo Ro (IEEE Trans. Computers, 2019)

REACT: Scalable and High-Performance Regular Expression Pattern Matching Accelerator for In-Storage Processing. - Won Seob Jeong; Changmin Lee 002; Keunsoo Kim; Myung Kuk Yoon; Won Jeon; Myoungsoo Jung; Won Woo Ro (IEEE Trans. Parallel Distributed Syst., 2020)

Reconstructing Out-of-Order Issue Queue. - Ipoom Jeong; Jiwon Lee; Myung Kuk Yoon; Won Woo Ro (MICRO, 2022)

TEA-RC: Thread Context-Aware Register Cache for GPUs. - Ipoom Jeong; Yunho Oh; Won Woo Ro; Myung Kuk Yoon (IEEE Access, 2022)

Analyzing GCN Aggregation on GPU. - Inje Kim; Jong-Hyun Jeong; Yunho Oh; Myung Kuk Yoon; Gunjae Koo (IEEE Access, 2022)

GhostLeg: Selective Memory Coalescing for Secure GPU Architecture. - Jongmin Lee; Seungho Jung; Taeweon Suh; Yunho Oh; Myung Kuk Yoon; Gunjae Koo (IEEE Access, 2022)

CASH-RF: A Compiler-Assisted Hierarchical Register File in GPUs. - Yunho Oh; Ipoom Jeong; Won Woo Ro; Myung Kuk Yoon (IEEE Embed. Syst. Lett., 2022)

INTERPRET: Inter-Warp Register Reuse for GPU Tensor Core. - Jae Seok Kwak; Myung Kuk Yoon; Ipoom Jeong; Seunghyun Jin 002; Won Woo Ro (PACT, 2023)

Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism. - Cheonjun Park; Mincheol Park; Hyun Jae Oh; Minkyu Kim 003; Myung Kuk Yoon; Suhyun Kim 001; Won Woo Ro (AAAI, 2023)

Warped-MC: An Efficient Memory Controller Scheme for Massively Parallel Processors. - Jong-Hyun Jeong; Myung Kuk Yoon; Yunho Oh; Gunjae Koo (ICPP, 2023)

Early-Adaptor: An Adaptive Framework forProactive UVM Memory Management. - Seokjin Go; Hyunwuk Lee; Junsung Kim 002; Jiwon Lee; Myung Kuk Yoon; Won Woo Ro (ISPASS, 2023)

VitBit: Enhancing Embedded GPU Performance for AI Workloads through Register Operand Packing. - Jaebeom Jeon; Minseong Gil; Junsu Kim; Jaeyong Park; Gunjae Koo; Myung Kuk Yoon; Yunho Oh (ICPP, 2024)

DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism. - Cheonjun Park; Mincheol Park; Hyunchan Moon; Myung Kuk Yoon; Seokjin Go; Suhyun Kim 001; Won Woo Ro (NeurIPS, 2024)

SAVector: Vectored Systolic Arrays. - Sangun Choi; Seongjun Park; Jaeyong Park; Jongmin Kim; Gunjae Koo; Seokin Hong; Myung Kuk Yoon; Yunho Oh (IEEE Access, 2024)

Conflict-aware compiler for hierarchical register file on GPUs. - Eunbi Jeong; Seongjun Park; Gunjae Koo; Yunho Oh; Myung Kuk Yoon (J. Syst. Archit., 2024)

Triple-A: Early Operand Collector Allocation for Maximizing GPU Register Bank Utilization. - Ipoom Jeong; Eunbi Jeong; Nam Sung Kim; Myung Kuk Yoon (IEEE Embed. Syst. Lett., 2024)

Adaptive Kernel Merge and Fusion for Multi-Tenant Inference in Embedded GPUs. - Jaebeom Jeon; Gunjae Koo; Myung Kuk Yoon; Yunho Oh (IEEE Embed. Syst. Lett., 2024)

HyMM: A Hybrid Sparse-Dense Matrix Multiplication Accelerator for GCNs. - Hunjong Lee; Jihun Lee; Jaewon Seo; Yunho Oh; Myung Kuk Yoon; Gunjae Koo (DATE, 2025)

Warped-Compaction: Maximizing GPU Register File Bandwidth Utilization via Operand Compaction. - Eunbi Jeong; Ipoom Jeong; Myung Kuk Yoon; Nam Sung Kim (HPCA, 2025)

Marching Page Walks: Batching and Concurrent Page Table Walks for Enhancing GPU Throughput. - Jiwon Lee; Gun Ko; Myung Kuk Yoon; Ipoom Jeong; Yunho Oh; Won Woo Ro (HPCA, 2025)

Avant-Garde: Empowering GPUs with Scaled Numeric Formats. - Minseong Gil; Dongho Ha; Simla Burcu Harma; Myung Kuk Yoon; Babak Falsafi; Won Woo Ro; Yunho Oh (ISCA, 2025)

SSFFT: Energy-Efficient Selective Scaling for Fast Fourier Transform in Embedded GPUs. - Dongwon Yang; Jaebeom Jeon; Minseong Gil; Junsu Kim; Seondeok Kim; Gunjae Koo; Myung Kuk Yoon; Yunho Oh (LCTES, 2025)

MOST: Memory Oversubscription-Aware Scheduling for Tensor Migration on GPU Unified Storage. - Junsu Kim; Jaebeom Jeon; Jaeyong Park; Sangun Choi; Minseong Gil; Seokin Hong; Gunjae Koo; Myung Kuk Yoon; Yunho Oh (IEEE Comput. Archit. Lett., 2025)

Beyond VABlock: Improving Transformer workloads through aggressive prefetching. - Jane Rhee; Ikyoung Choi; Gunjae Koo; Yunho Oh; Myung Kuk Yoon (J. Syst. Archit., 2025)

TLP Balancer: Predictive Thread Allocation for Multitenant Inference in Embedded GPUs. - Minseong Gil; Jaebeom Jeon; Junsu Kim; Sangun Choi; Gunjae Koo; Myung Kuk Yoon; Yunho Oh (IEEE Embed. Syst. Lett., 2025)