CGRA express: accelerating execution using dynamic operation fusion. - Yongjun Park 001; Hyunchul Park 001; Scott A. Mahlke (CASES, 2009)

Polymorphic pipeline array: a flexible multicore accelerator with virtualized execution for mobile multimedia applications. - Hyunchul Park 001; Yongjun Park 001; Scott A. Mahlke (MICRO, 2009)

A dataflow-centric approach to design low power control paths in CGRAs. - Hyunchul Park 001; Yongjun Park 001; Scott A. Mahlke (SASP, 2009)

Resource recycling: putting idle resources to work on a composable accelerator. - Yongjun Park 001; Hyunchul Park 001; Scott A. Mahlke; Sukjin Kim (CASES, 2010)

SIMD defragmenter: efficient ILP realization on data-parallel architectures. - Yongjun Park 001; Sangwon Seo; Hyunchul Park 001; Hyoun Kyu Cho; Scott A. Mahlke (ASPLOS, 2012)

Process variation in near-threshold wide SIMD architectures. - Sangwon Seo; Ronald G. Dreslinski; Mark Woh; Yongjun Park 001; Chaitali Chakrabarti; Scott A. Mahlke; David T. Blaauw; Trevor N. Mudge (DAC, 2012)

Efficient performance scaling of future CGRAs for mobile applications. - Yongjun Park 001; Jason Jong Kyu Park; Scott A. Mahlke (FPT, 2012)

Libra: Tailoring SIMD Execution Using Heterogeneous Hardware and Dynamic Configurability. - Yongjun Park 001; Jason Jong Kyu Park; Hyunchul Park 001; Scott A. Mahlke (MICRO, 2012)

Transparent CPU-GPU collaboration for data-parallel kernels on heterogeneous systems. - Janghaeng Lee; Mehrzad Samadi; Yongjun Park 001; Scott A. Mahlke (PACT, 2013)

Efficient execution of augmented reality applications on mobile programmable accelerators. - Jason Jong Kyu Park; Yongjun Park 001; Scott A. Mahlke (FPT, 2013)

Fine Grain Cache Partitioning Using Per-Instruction Working Blocks. - Jason Jong Kyu Park; Yongjun Park 001; Scott A. Mahlke (PACT, 2015)

Chimera: Collaborative Preemption for Multitasking on a Shared GPU. - Jason Jong Kyu Park; Yongjun Park 001; Scott A. Mahlke (ASPLOS, 2015)

Enabling Efficient Alias Speculation. - Soumyadeep Ghosh; Yongjun Park 001; Arun Raman (LCTES, 2015)

ELF: maximizing memory-level parallelism for GPUs with coordinated warp and fetch scheduling. - Jason Jong Kyu Park; Yongjun Park 001; Scott A. Mahlke (SC, 2015)

SKMD: Single Kernel on Multiple Devices for Transparent CPU-GPU Collaboration. - Janghaeng Lee; Mehrzad Samadi; Yongjun Park 001; Scott A. Mahlke (ACM Trans. Comput. Syst., 2015)

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)

A bypass first policy for energy-efficient last level caches. - Jason Jong Kyu Park; Yongjun Park 001; Scott A. Mahlke (SAMOS, 2016)

An eDRAM-Based Approximate Register File for GPUs. - Donghwan Jeong; Young H. Oh; Jae W. Lee; Yongjun Park 001 (IEEE Des. Test, 2016)

Dynamic Resource Management for Efficient Utilization of Multitasking GPUs. - Jason Jong Kyu Park; Yongjun Park 001; Scott A. Mahlke (ASPLOS, 2017)

A FPGA-based neural accelerator for small IoT devices. - Seongmin Hong; Yongjun Park 001 (ISOCC, 2017)

A Comparative Study of Programming Environments Exploiting Heterogeneous Systems. - Bongsuk Ko; Seunghun Han; Yongjun Park 001; Moongu Jeon; Byeongcheol Lee (IEEE Access, 2017)

Efficient GPU multitasking with latency minimization and cache boosting. - Jiho Kim; Minsung Chu; Yongjun Park 001 (IEICE Electron. Express, 2017)

Selective DRAM cache bypassing for improving bandwidth on DRAM/NVM hybrid main memory systems. - Yuhwan Ro; Min Chul Sung; Yongjun Park 001; Jung Ho Ahn (IEICE Electron. Express, 2017)

NN compactor: Minimizing memory and logic resources for small neural networks. - Seongmin Hong; Inho Lee 002; Yongjun Park 001 (DATE, 2018)

Automatic code conversion for non-volatile memory. - Jinsoo Yoo; Yongjun Park 001; Seongjin Lee; Youjip Won (SAC, 2018)

Core-level DVFS for Spatial Multitasking GPUs. - Jehee Cha; Jiho Kim; Yongjun Park 001 (TENCON, 2018)

Automated Neural Network Accelerator Generation Framework for Multiple Neural Network Applications. - Inho Lee 002; Seongmin Hong; Giha Ryu; Yongjun Park 001 (TENCON, 2018)

Runtime Profiling of OpenCL Workloads Using LLVM-based Code Instrumentation. - Yongseung Yu; Seokwon Kang; Yongjun Park 001 (TENCON, 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)

GATE: A Generalized Dataflow-level Approximation Tuning Engine For Data Parallel Architectures. - Seokwon Kang; Yongseung Yu; Jiho Kim; Yongjun Park 001 (DAC, 2019)

A compiler-based approach for GPGPU performance calibration using TLP modulation (WIP paper). - Yongseung Yu; Seokwon Kang; Yongjun Park 001 (LCTES, 2019)

Microarchitecture-Aware Code Generation for Deep Learning on Single-ISA Heterogeneous Multi-Core Mobile Processors. - Junmo Park; Yongin Kwon; Yongjun Park 001; Dongsuk Jeon (IEEE Access, 2019)

Improving GPU Multitasking Efficiency Using Dynamic Resource Sharing. - Jiho Kim; Jehee Cha; Jason Jong Kyu Park; Dongsuk Jeon; Yongjun Park 001 (IEEE Comput. Archit. Lett., 2019)

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)

PreScaler: an efficient system-aware precision scaling framework on heterogeneous systems. - Seokwon Kang; Kyunghwan Choi; Yongjun Park 001 (CGO, 2020)

Navigator: Dynamic Multi-kernel Scheduling to Improve GPU Performance. - Jiho Kim; John Kim 001; Yongjun Park 001 (DAC, 2020)

Convergence-Aware Neural Network Training. - Hyungjun Oh; Yongseung Yu; Giha Ryu; Gunjoo Ahn; Yuri Jeong; Yongjun Park 001; Jiwon Seo 002 (DAC, 2020)

Optimization of GPU-based Sparse Matrix Multiplication for Large Sparse Networks. - Jeongmyung Lee; Seokwon Kang; Yongseung Yu; Yong-Yeon Jo; Sang-Wook Kim; Yongjun Park 001 (ICDE, 2020)

LOCKED-Free Journaling: Improving the Coalescing Degree in EXT4 Journaling. - Kyoungho Koo; Yongjun Park 001; Youjip Won (NVMSA, 2020)

Two-tier garbage collection for persistent object. - Dokeun Lee; Youjip Won; Yongjun Park 001; Seongjin Lee (SAC, 2020)

Legion: Tailoring Grouped Neural Execution Considering Heterogeneity on Multiple Edge Devices. - Kyunghwan Choi; Seongju Lee; Beom Woo Kang; Yongjun Park 001 (ICCD, 2021)

MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems. - Yun-Yong Ko; Jae-Seo Yu; Hong-Kyun Bae; Yongjun Park 001; Dongwon Lee 001; Sang-Wook Kim (ICDM, 2021)

MaPHeA: a lightweight memory hierarchy-aware profile-guided heap allocation framework. - Deok-Jae Oh; Yaebin Moon; Eojin Lee; Tae Jun Ham; Yongjun Park 001; Jae W. Lee; Jung Ho Ahn (LCTES, 2021)

SRTuner: Effective Compiler Optimization Customization by Exposing Synergistic Relations. - Sunghyun Park 004; Salar Latifi; Yongjun Park 001; Armand Behroozi; Byungsoo Jeon; Scott A. Mahlke (CGO, 2022)

Networked SSD: Flash Memory Interconnection Network for High-Bandwidth SSD. - Jiho Kim; Seokwon Kang; Yongjun Park 001; John Kim 001 (MICRO, 2022)

Dynamic Rate Neural Acceleration Using Multiprocessing Mode Support. - Inho Lee 002; Yangki Lee; Hongjun Um; Seongmin Hong; Yongjun Park 001 (IEEE Trans. Very Large Scale Integr. Syst., 2022)

Virtual PIM: Resource-Aware Dynamic DPU Allocation and Workload Scheduling Framework for Multi-DPU PIM Architecture. - Donghyeon Kim 001; Taehoon Kim; Inyong Hwang; Taehyeong Park 001; Hanjun Kim 001; Youngsok Kim; Yongjun Park 001 (PACT, 2023)

SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication. - Myung-Hwan Jang; Yun-Yong Ko; Hyuck-Moo Gwon; Ikhyeon Jo; Yongjun Park 001; Sang-Wook Kim (CIKM, 2023)

Block Group Scheduling: A General Precision-scalable NPU Scheduling Technique with Capacity-aware Memory Allocation. - Seokho Lee; Younghyun Lee; Hyejun Kim; Taehoon Kim; Yongjun Park 001 (DATE, 2023)

Tailoring CUTLASS GEMM using Supervised Learning. - Yongseung Yu; Donghyun Son; Younghyun Lee; Sunghyun Park 004; Giha Ryu; Myeongjin Cho; Jiwon Seo 002; Yongjun Park 001 (ICCD, 2023)

Orchestrating Large-Scale SpGEMMs using Dynamic Block Distribution and Data Transfer Minimization on Heterogeneous Systems. - Taehyeong Park 001; Seokwon Kang; Myung-Hwan Jang; Sang-Wook Kim; Yongjun Park 001 (ICDE, 2023)

Synchronization-Aware NAS for an Efficient Collaborative Inference on Mobile Platforms. - Beom Woo Kang; Junho Wohn; Seongju Lee; Sunghyun Park 004; Yung-Kyun Noh; Yongjun Park 001 (LCTES, 2023)

MaPHeA: A Framework for Lightweight Memory Hierarchy-aware Profile-guided Heap Allocation. - Deok-Jae Oh; Yaebin Moon; Do Kyu Ham; Tae Jun Ham; Yongjun Park 001; Jae W. Lee; Jung Ho Ahn; Eojin Lee (ACM Trans. Embed. Comput. Syst., 2023)

Discovering Efficient Fused Layer Configurations for Executing Multi-Workloads on Multi-Core NPUs. - Younghyun Lee; Hyejun Kim; Yongseung Yu; Myeongjin Cho; Jiwon Seo 002; Yongjun Park 001 (DATE, 2024)

Orchestrating Multiple Mixed Precision Models on a Shared Precision-Scalable NPU. - Kiung Jung; Seok Namkoong; Hongjun Um; Hyejun Kim; Youngsok Kim; Yongjun Park 001 (LCTES, 2024)

ISP Agent: A Generalized In-storage-processing Workload Offloading Framework by Providing Multiple Optimization Opportunities. - Seokwon Kang; Jongbin Kim; Gyeongyong Lee; Jeongmyung Lee; Jiwon Seo 002; Hyungsoo Jung 001; Yong Ho Song; Yongjun Park 001 (ACM Trans. Archit. Code Optim., 2024)

SPID-Join: A Skew-resistant Processing-in-DIMM Join Algorithm Exploiting the Bank- and Rank-level Parallelisms of DIMMs. - Suhyun Lee 002; Chaemin Lim; Jinwoo Choi 003; Heelim Choi; Chan Lee; Yongjun Park 001; Kwanghyun Park 001; Hanjun Kim 001; Youngsok Kim (Proc. ACM Manag. Data, 2024)

Accelerating LLMs using an Efficient GEMM Library and Target-Aware Optimizations on Real-World PIM Devices. - Hyeoncheol Kim; Taehoon Kim; Taehyeong Park 001; Donghyeon Kim 001; Yongseung Yu; Hanjun Kim 001; Yongjun Park 001 (CGO, 2025)

CUrator: An Efficient LLM Execution Engine with Optimized Integration of CUDA Libraries. - Yoon Noh Lee; Yongseung Yu; Yongjun Park 001 (CGO, 2025)

Efficient Image Super-Resolution Using Dynamic Quality Control With Recursive Model Structures. - Inho Lee 002; Jaemin Park; Seunghwan Lee; Tae Hyun Kim; Jiwon Seo 002; Hunjun Lee; Yongjun Park 001 (IEEE Access, 2025)