Yongjun Park - RankMe

72 papers A* 16A 14B 9C 5Misc 4Journal 18Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	FlexiQ: Adaptive Mixed-Precision Quantization for Latency/Accuracy Trade-Offs in Deep Neural Networks. EuroSys Jaemin Kim, Hongjun Um, Sungkyun Kim, Yongjun Park, Jiwon Seo
2026	A	`conf`	Flow-Graph-Aware Tiling and Rescheduling for Memory-Efficient On-Device Inference. CGO Yeonoh Jeong, Taehyeong Park, Yongjun Park
2026	J	`jnl`	PIM-SHERPA: Software Method for On-device LLM Inference by Resolving PIM Memory Attribute and Layout Inconsistencies. CoRR Sunjung Lee, Sanghoon Cha, Hyeonsu Kim, Seungwoo Seo, Yuhwan Ro, Sukhan Lee, Byeongho Kim, Yongjun Park, Kyomin Sohn, Seungwon Lee, Jaehoon Yu
2026	J	`jnl`	Peak-memory-aware partitioning and scheduling for multi-tenant DNN model inference. J. Syst. Archit. Jaeho Lee, Ju Min Lee, Haeeun Jeong, Hyunho Kwon, Youngsok Kim, Yongjun Park, Hanjun Kim
2025	A	`conf`	Accelerating LLMs using an Efficient GEMM Library and Target-Aware Optimizations on Real-World PIM Devices. CGO Hyeoncheol Kim, Taehoon Kim, Taehyeong Park, Donghyeon Kim, Yongseung Yu, Hanjun Kim, Yongjun Park
2025	A	`conf`	An Efficient PIM-Based Graph Engine on a Single Machine. CIKM Myung-Hwan Jang, Min-Kyeong Shin, Taehyeong Park, Yongjun Park, Sang-Wook Kim
2025	A	`conf`	CUrator: An Efficient LLM Execution Engine with Optimized Integration of CUDA Libraries. CGO Yoon Noh Lee, Yongseung Yu, Yongjun Park
2025	J	`jnl`	Efficient Image Super-Resolution Using Dynamic Quality Control With Recursive Model Structures. IEEE Access Inho Lee, Jaemin Park, Seunghwan Lee, Tae Hyun Kim, Jiwon Seo, Hunjun Lee, Yongjun Park
2025	J	`jnl`	FlexiQ: Adaptive Mixed-Precision Quantization for Latency/Accuracy Trade-Offs in Deep Neural Networks. CoRR Jaemin Kim, Hongjun Um, Sungkyun Kim, Yongjun Park, Jiwon Seo
2025	A	`conf`	PIM-CARE: A Compiler-Assisted Dynamic Resource Allocation Framework for Real-world DRAM PIM. ICS Inyong Hwang, Donghyeon Kim, Seokwon Kang, Taehyeong Park, Taehoon Kim, Jiwon Seo, Hanjun Kim, Youngsok Kim, Yongjun Park
2025	A*	`conf`	PIM-CCA: An Efficient PIM Architecture with Optimized Integration of Configurable Functional Units. MICRO Jeehyun Kim, Donghyeon Kim, Seokwon Kang, Bongjoon Hyun, Inho Lee, Yongjun Park
2025	B	`ed.`	Proceedings of the 26th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems, LCTES 2025, Seoul, Republic of Korea, June 16-17, 2025 LCTES Partha S. Roop, Jerónimo Castrillón, Yongjun Park
2025	A	`conf`	SortingHat: System Topology-aware Scheduling of Deep Neural Network Models on Multi-GPU Systems. ICS Seok Namkoong, Taehyeong Park, Kiung Jung, Jinyoung Kim, Yongjun Park
2025	A*	`conf`	Supporting Register-based Addressing Modes for in-DRAM PIM ISAs. DAC Seok Young Kim, Byung Ho Choi, Seokwon Kang, Yongjun Park, Seon Wook Kim
2024	A	`conf`	Discovering Efficient Fused Layer Configurations for Executing Multi-Workloads on Multi-Core NPUs. DATE Younghyun Lee, Hyejun Kim, Yongseung Yu, Myeongjin Cho, Jiwon Seo, Yongjun Park
2024	J	`jnl`	ISP Agent: A Generalized In-storage-processing Workload Offloading Framework by Providing Multiple Optimization Opportunities. ACM Trans. Archit. Code Optim. Seokwon Kang, Jongbin Kim, Gyeongyong Lee, Jeongmyung Lee, Jiwon Seo, Hyungsoo Jung, Yong Ho Song, Yongjun Park
2024	B	`conf`	Orchestrating Multiple Mixed Precision Models on a Shared Precision-Scalable NPU. LCTES Kiung Jung, Seok Namkoong, Hongjun Um, Hyejun Kim, Youngsok Kim, Yongjun Park
2024	J	`jnl`	SPID-Join: A Skew-resistant Processing-in-DIMM Join Algorithm Exploiting the Bank- and Rank-level Parallelisms of DIMMs. Proc. ACM Manag. Data Suhyun Lee, Chaemin Lim, Jinwoo Choi, Heelim Choi, Chan Lee, Yongjun Park, Kwanghyun Park, Hanjun Kim, Youngsok Kim
2023	A	`conf`	Block Group Scheduling: A General Precision-scalable NPU Scheduling Technique with Capacity-aware Memory Allocation. DATE Seokho Lee, Younghyun Lee, Hyejun Kim, Taehoon Kim, Yongjun Park
2023	J	`jnl`	MaPHeA: A Framework for Lightweight Memory Hierarchy-aware Profile-guided Heap Allocation. ACM Trans. Embed. Comput. Syst. Deok-Jae Oh, Yaebin Moon, Do Kyu Ham, Tae Jun Ham, Yongjun Park, Jae W. Lee, Jung Ho Ahn, Eojin Lee
2023	A*	`conf`	Orchestrating Large-Scale SpGEMMs using Dynamic Block Distribution and Data Transfer Minimization on Heterogeneous Systems. ICDE Taehyeong Park, Seokwon Kang, Myung-Hwan Jang, Sang-Wook Kim, Yongjun Park
2023	A	`conf`	SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication. CIKM Myung-Hwan Jang, Yun-Yong Ko, Hyuck-Moo Gwon, Ikhyeon Jo, Yongjun Park, Sang-Wook Kim
2023	J	`jnl`	SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication. CoRR Myung-Hwan Jang, Yun-Yong Ko, Hyuck-Moo Gwon, Ikhyeon Jo, Yongjun Park, Sang-Wook Kim
2023	B	`conf`	Synchronization-Aware NAS for an Efficient Collaborative Inference on Mobile Platforms. LCTES Beom Woo Kang, Junho Wohn, Seongju Lee, Sunghyun Park, Yung-Kyun Noh, Yongjun Park
2023	C	`conf`	Tailoring CUTLASS GEMM using Supervised Learning. ICCD Yongseung Yu, Donghyun Son, Younghyun Lee, Sunghyun Park, Giha Ryu, Myeongjin Cho, Jiwon Seo, Yongjun Park
2023	B	`conf`	Virtual PIM: Resource-Aware Dynamic DPU Allocation and Workload Scheduling Framework for Multi-DPU PIM Architecture. PACT Donghyeon Kim, Taehoon Kim, Inyong Hwang, Taehyeong Park, Hanjun Kim, Youngsok Kim, Yongjun Park
2022	J	`jnl`	Dynamic Rate Neural Acceleration Using Multiprocessing Mode Support. IEEE Trans. Very Large Scale Integr. Syst. Inho Lee, Yangki Lee, Hongjun Um, Seongmin Hong, Yongjun Park
2022	A*	`conf`	Networked SSD: Flash Memory Interconnection Network for High-Bandwidth SSD. MICRO Jiho Kim, Seokwon Kang, Yongjun Park, John Kim
2022	A	`conf`	SRTuner: Effective Compiler Optimization Customization by Exposing Synergistic Relations. CGO Sunghyun Park, Salar Latifi, Yongjun Park, Armand Behroozi, Byungsoo Jeon, Scott A. Mahlke
2021	C	`conf`	Legion: Tailoring Grouped Neural Execution Considering Heterogeneity on Multiple Edge Devices. ICCD Kyunghwan Choi, Seongju Lee, Beom Woo Kang, Yongjun Park
2021	A*	`conf`	MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems. ICDM Yun-Yong Ko, Jae-Seo Yu, Hong-Kyun Bae, Yongjun Park, Dongwon Lee, Sang-Wook Kim
2021	B	`conf`	MaPHeA: a lightweight memory hierarchy-aware profile-guided heap allocation framework. LCTES Deok-Jae Oh, Yaebin Moon, Eojin Lee, Tae Jun Ham, Yongjun Park, Jae W. Lee, Jung Ho Ahn
2020	A*	`conf`	Convergence-Aware Neural Network Training. DAC Hyungjun Oh, Yongseung Yu, Giha Ryu, Gunjoo Ahn, Yuri Jeong, Yongjun Park, Jiwon Seo
2020	—	`conf`	LOCKED-Free Journaling: Improving the Coalescing Degree in EXT4 Journaling. NVMSA Kyoungho Koo, Yongjun Park, Youjip Won
2020	A*	`conf`	Navigator: Dynamic Multi-kernel Scheduling to Improve GPU Performance. DAC Jiho Kim, John Kim, Yongjun Park
2020	A*	`conf`	Optimization of GPU-based Sparse Matrix Multiplication for Large Sparse Networks. ICDE Jeongmyung Lee, Seokwon Kang, Yongseung Yu, Yong-Yeon Jo, Sang-Wook Kim, Yongjun Park
2020	A	`conf`	PreScaler: an efficient system-aware precision scaling framework on heterogeneous systems. CGO Seokwon Kang, Kyunghwan Choi, Yongjun Park
2020	Misc	`conf`	Two-tier garbage collection for persistent object. SAC Dokeun Lee, Youjip Won, Yongjun Park, Seongjin Lee
2019	B	`conf`	A compiler-based approach for GPGPU performance calibration using TLP modulation (WIP paper). LCTES Yongseung Yu, Seokwon Kang, Yongjun Park
2019	J	`jnl`	Adaptive Cooperation of Prefetching and Warp Scheduling on GPUs. IEEE Trans. Computers Yunho Oh, Keunsoo Kim, Myung Kuk Yoon, Jong Hyun Park, Yongjun Park, Murali Annavaram, Won Woo Ro
2019	A*	`conf`	GATE: A Generalized Dataflow-level Approximation Tuning Engine For Data Parallel Architectures. DAC Seokwon Kang, Yongseung Yu, Jiho Kim, Yongjun Park
2019	J	`jnl`	Improving GPU Multitasking Efficiency Using Dynamic Resource Sharing. IEEE Comput. Archit. Lett. Jiho Kim, Jehee Cha, Jason Jong Kyu Park, Dongsuk Jeon, Yongjun Park
2019	J	`jnl`	Microarchitecture-Aware Code Generation for Deep Learning on Single-ISA Heterogeneous Multi-Core Mobile Processors. IEEE Access Junmo Park, Yongin Kwon, Yongjun Park, Dongsuk Jeon
2018	C	`conf`	Automated Neural Network Accelerator Generation Framework for Multiple Neural Network Applications. TENCON Inho Lee, Seongmin Hong, Giha Ryu, Yongjun Park
2018	Misc	`conf`	Automatic code conversion for non-volatile memory. SAC Jinsoo Yoo, Yongjun Park, Seongjin Lee, Youjip Won
2018	C	`conf`	Core-level DVFS for Spatial Multitasking GPUs. TENCON Jehee Cha, Jiho Kim, Yongjun Park
2018	A	`conf`	NN compactor: Minimizing memory and logic resources for small neural networks. DATE Seongmin Hong, Inho Lee, Yongjun Park
2018	C	`conf`	Runtime Profiling of OpenCL Workloads Using LLVM-based Code Instrumentation. TENCON Yongseung Yu, Seokwon Kang, Yongjun Park
2018	J	`jnl`	WASP: Selective Data Prefetching with Monitoring Runtime Warp Progress on GPUs. IEEE Trans. Computers Yunho Oh, Myung Kuk Yoon, Jong Hyun Park, Yongjun Park, Won Woo Ro
2017	J	`jnl`	A Comparative Study of Programming Environments Exploiting Heterogeneous Systems. IEEE Access Bongsuk Ko, Seunghun Han, Yongjun Park, Moongu Jeon, ByeongCheol Lee
2017	—	`conf`	A FPGA-based neural accelerator for small IoT devices. ISOCC Seongmin Hong, Yongjun Park
2017	A*	`conf`	Dynamic Resource Management for Efficient Utilization of Multitasking GPUs. ASPLOS Jason Jong Kyu Park, Yongjun Park, Scott A. Mahlke
2017	J	`jnl`	Efficient GPU multitasking with latency minimization and cache boosting. IEICE Electron. Express Jiho Kim, Minsung Chu, Yongjun Park
2017	J	`jnl`	Selective DRAM cache bypassing for improving bandwidth on DRAM/NVM hybrid main memory systems. IEICE Electron. Express Yuhwan Ro, Min Chul Sung, Yongjun Park, Jung Ho Ahn
2016	—	`conf`	A bypass first policy for energy-efficient last level caches. SAMOS Jason Jong Kyu Park, Yongjun Park, Scott A. Mahlke
2016	A*	`conf`	APRES: Improving Cache Efficiency by Exploiting Load Characteristics on GPUs. ISCA Yunho Oh, Keunsoo Kim, Myung Kuk Yoon, Jong Hyun Park, Yongjun Park, Won Woo Ro, Murali Annavaram
2016	J	`jnl`	An eDRAM-Based Approximate Register File for GPUs. IEEE Des. Test Donghwan Jeong, Young H. Oh, Jae W. Lee, Yongjun Park
2015	A*	`conf`	Chimera: Collaborative Preemption for Multitasking on a Shared GPU. ASPLOS Jason Jong Kyu Park, Yongjun Park, Scott A. Mahlke
2015	A	`conf`	ELF: maximizing memory-level parallelism for GPUs with coordinated warp and fetch scheduling. SC Jason Jong Kyu Park, Yongjun Park, Scott A. Mahlke
2015	B	`conf`	Enabling Efficient Alias Speculation. LCTES Soumyadeep Ghosh, Yongjun Park, Arun Raman
2015	B	`conf`	Fine Grain Cache Partitioning Using Per-Instruction Working Blocks. PACT Jason Jong Kyu Park, Yongjun Park, Scott A. Mahlke
2015	J	`jnl`	SKMD: Single Kernel on Multiple Devices for Transparent CPU-GPU Collaboration. ACM Trans. Comput. Syst. Janghaeng Lee, Mehrzad Samadi, Yongjun Park, Scott A. Mahlke
2013	—	`conf`	Efficient execution of augmented reality applications on mobile programmable accelerators. FPT Jason Jong Kyu Park, Yongjun Park, Scott A. Mahlke
2013	B	`conf`	Transparent CPU-GPU collaboration for data-parallel kernels on heterogeneous systems. PACT Janghaeng Lee, Mehrzad Samadi, Yongjun Park, Scott A. Mahlke
2012	—	`conf`	Efficient performance scaling of future CGRAs for mobile applications. FPT Yongjun Park, Jason Jong Kyu Park, Scott A. Mahlke
2012	A*	`conf`	Libra: Tailoring SIMD Execution Using Heterogeneous Hardware and Dynamic Configurability. MICRO Yongjun Park, Jason Jong Kyu Park, Hyunchul Park, Scott A. Mahlke
2012	A*	`conf`	Process variation in near-threshold wide SIMD architectures. DAC Sangwon Seo, Ronald G. Dreslinski, Mark Woh, Yongjun Park, Chaitali Chakrabarti, Scott A. Mahlke, David T. Blaauw, Trevor N. Mudge
2012	A*	`conf`	SIMD defragmenter: efficient ILP realization on data-parallel architectures. ASPLOS Yongjun Park, Sangwon Seo, Hyunchul Park, Hyoun Kyu Cho, Scott A. Mahlke
2010	Misc	`conf`	Resource recycling: putting idle resources to work on a composable accelerator. CASES Yongjun Park, Hyunchul Park, Scott A. Mahlke, Sukjin Kim
2009	—	`conf`	A dataflow-centric approach to design low power control paths in CGRAs. SASP Hyunchul Park, Yongjun Park, Scott A. Mahlke
2009	Misc	`conf`	CGRA express: accelerating execution using dynamic operation fusion. CASES Yongjun Park, Hyunchul Park, Scott A. Mahlke
2009	A*	`conf`	Polymorphic pipeline array: a flexible multicore accelerator with virtualized execution for mobile multimedia applications. MICRO Hyunchul Park, Yongjun Park, Scott A. Mahlke