Yongjun Park

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 40

Top Topics

Mobile Platforms

Heterogeneous Systems

Top Venues

IEICE Electron. Express

Publications

Younghyun Lee, Hyejun Kim, Yongseung Yu, Myeongjin Cho, Jiwon Seo, Yongjun Park
Discovering Efficient Fused Layer Configurations for Executing Multi-Workloads on Multi-Core NPUs. DATE (2024)
Kiung Jung, Seok Namkoong, Hongjun Um, Hyejun Kim, Youngsok Kim, Yongjun Park
Orchestrating Multiple Mixed Precision Models on a Shared Precision-Scalable NPU. LCTES (2024)
Seokwon Kang, Jongbin Kim, Gyeongyong Lee, Jeongmyung Lee, Jiwon Seo, Hyungsoo Jung, Yong Ho Song, Yongjun Park
ISP Agent: A Generalized In-storage-processing Workload Offloading Framework by Providing Multiple Optimization Opportunities. ACM Trans. Archit. Code Optim. 21 (1) (2024)
Taehyeong Park, Seokwon Kang, Myung-Hwan Jang, Sang-Wook Kim, Yongjun Park
Orchestrating Large-Scale SpGEMMs using Dynamic Block Distribution and Data Transfer Minimization on Heterogeneous Systems. ICDE (2023)
Yongseung Yu, Donghyun Son, Younghyun Lee, Sunghyun Park, Giha Ryu, Myeongjin Cho, Jiwon Seo, Yongjun Park
Tailoring CUTLASS GEMM using Supervised Learning. ICCD (2023)
Myung-Hwan Jang, Yun-Yong Ko, Hyuck-Moo Gwon, Ikhyeon Jo, Yongjun Park, Sang-Wook Kim
SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication. CIKM (2023)
Deok-Jae Oh, Yaebin Moon, Do Kyu Ham, Tae Jun Ham, Yongjun Park, Jae W. Lee, Jung Ho Ahn, Eojin Lee
MaPHeA: A Framework for Lightweight Memory Hierarchy-aware Profile-guided Heap Allocation. ACM Trans. Embed. Comput. Syst. 22 (1) (2023)
Myung-Hwan Jang, Yun-Yong Ko, Hyuck-Moo Gwon, Ikhyeon Jo, Yongjun Park, Sang-Wook Kim
SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication. CoRR (2023)
Beom Woo Kang, Junho Wohn, Seongju Lee, Sunghyun Park, Yung-Kyun Noh, Yongjun Park
Synchronization-Aware NAS for an Efficient Collaborative Inference on Mobile Platforms. LCTES (2023)
Sunghyun Park, Salar Latifi, Yongjun Park, Armand Behroozi, Byungsoo Jeon, Scott A. Mahlke
SRTuner: Effective Compiler Optimization Customization by Exposing Synergistic Relations. CGO (2022)
Jiho Kim, Seokwon Kang, Yongjun Park, John Kim
Networked SSD: Flash Memory Interconnection Network for High-Bandwidth SSD. MICRO (2022)
Inho Lee, Yangki Lee, Hongjun Um, Seongmin Hong, Yongjun Park
Dynamic Rate Neural Acceleration Using Multiprocessing Mode Support. IEEE Trans. Very Large Scale Integr. Syst. 30 (10) (2022)
Yun-Yong Ko, Jae-Seo Yu, Hong-Kyun Bae, Yongjun Park, Dongwon Lee, Sang-Wook Kim
MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems. ICDM (2021)
Deok-Jae Oh, Yaebin Moon, Eojin Lee, Tae Jun Ham, Yongjun Park, Jae W. Lee, Jung Ho Ahn
MaPHeA: a lightweight memory hierarchy-aware profile-guided heap allocation framework. LCTES (2021)
Kyunghwan Choi, Seongju Lee, Beom Woo Kang, Yongjun Park
Legion: Tailoring Grouped Neural Execution Considering Heterogeneity on Multiple Edge Devices. ICCD (2021)
Kyoungho Koo, Yongjun Park, Youjip Won
LOCKED-Free Journaling: Improving the Coalescing Degree in EXT4 Journaling. NVMSA (2020)
Seokwon Kang, Kyunghwan Choi, Yongjun Park
PreScaler: an efficient system-aware precision scaling framework on heterogeneous systems. CGO (2020)
Dokeun Lee, Youjip Won, Yongjun Park, Seongjin Lee
Two-tier garbage collection for persistent object. SAC (2020)
Jiho Kim, John Kim, Yongjun Park
Navigator: Dynamic Multi-kernel Scheduling to Improve GPU Performance. DAC (2020)
Jeongmyung Lee, Seokwon Kang, Yongseung Yu, Yong-Yeon Jo, Sang-Wook Kim, Yongjun Park
Optimization of GPU-based Sparse Matrix Multiplication for Large Sparse Networks. ICDE (2020)
Hyungjun Oh, Yongseung Yu, Giha Ryu, Gunjoo Ahn, Yuri Jeong, Yongjun Park, Jiwon Seo
Convergence-Aware Neural Network Training. DAC (2020)
Yunho Oh, Keunsoo Kim, Myung Kuk Yoon, Jong Hyun Park, Yongjun Park, Murali Annavaram, Won Woo Ro
Adaptive Cooperation of Prefetching and Warp Scheduling on GPUs. IEEE Trans. Computers 68 (4) (2019)
Jiho Kim, Jehee Cha, Jason Jong Kyu Park, Dongsuk Jeon, Yongjun Park
Improving GPU Multitasking Efficiency Using Dynamic Resource Sharing. IEEE Comput. Archit. Lett. 18 (1) (2019)
Seokwon Kang, Yongseung Yu, Jiho Kim, Yongjun Park
GATE: A Generalized Dataflow-level Approximation Tuning Engine For Data Parallel Architectures. DAC (2019)
Yongseung Yu, Seokwon Kang, Yongjun Park
A compiler-based approach for GPGPU performance calibration using TLP modulation (WIP paper). LCTES (2019)
Junmo Park, Yongin Kwon, Yongjun Park, Dongsuk Jeon
Microarchitecture-Aware Code Generation for Deep Learning on Single-ISA Heterogeneous Multi-Core Mobile Processors. IEEE Access 7 (2019)
Jinsoo Yoo, Yongjun Park, Seongjin Lee, Youjip Won
Automatic code conversion for non-volatile memory. SAC (2018)
Jehee Cha, Jiho Kim, Yongjun Park
Core-level DVFS for Spatial Multitasking GPUs. TENCON (2018)
Inho Lee, Seongmin Hong, Giha Ryu, Yongjun Park
Automated Neural Network Accelerator Generation Framework for Multiple Neural Network Applications. TENCON (2018)
Yunho Oh, Myung Kuk Yoon, Jong Hyun Park, Yongjun Park, Won Woo Ro
WASP: Selective Data Prefetching with Monitoring Runtime Warp Progress on GPUs. IEEE Trans. Computers 67 (9) (2018)
Seongmin Hong, Inho Lee, Yongjun Park
NN compactor: Minimizing memory and logic resources for small neural networks. DATE (2018)
Yongseung Yu, Seokwon Kang, Yongjun Park
Runtime Profiling of OpenCL Workloads Using LLVM-based Code Instrumentation. TENCON (2018)
Yuhwan Ro, Min Chul Sung, Yongjun Park, Jung Ho Ahn
Selective DRAM cache bypassing for improving bandwidth on DRAM/NVM hybrid main memory systems. IEICE Electron. Express 14 (11) (2017)
Seongmin Hong, Yongjun Park
A FPGA-based neural accelerator for small IoT devices. ISOCC (2017)
Bongsuk Ko, Seunghun Han, Yongjun Park, Moongu Jeon, Byeongcheol Lee
A Comparative Study of Programming Environments Exploiting Heterogeneous Systems. IEEE Access 5 (2017)
Jiho Kim, Minsung Chu, Yongjun Park
Efficient GPU multitasking with latency minimization and cache boosting. IEICE Electron. Express 14 (7) (2017)
Jason Jong Kyu Park, Yongjun Park, Scott A. Mahlke
Dynamic Resource Management for Efficient Utilization of Multitasking GPUs. ASPLOS (2017)
Jason Jong Kyu Park, Yongjun Park, Scott A. Mahlke
A bypass first policy for energy-efficient last level caches. SAMOS (2016)
Donghwan Jeong, Young H. Oh, Jae W. Lee, Yongjun Park
An eDRAM-Based Approximate Register File for GPUs. IEEE Des. Test 33 (1) (2016)
Yunho Oh, Keunsoo Kim, Myung Kuk Yoon, Jong Hyun Park, Yongjun Park, Won Woo Ro, Murali Annavaram
APRES: Improving Cache Efficiency by Exploiting Load Characteristics on GPUs. ISCA (2016)
Jason Jong Kyu Park, Yongjun Park, Scott A. Mahlke
ELF: maximizing memory-level parallelism for GPUs with coordinated warp and fetch scheduling. SC (2015)
Janghaeng Lee, Mehrzad Samadi, Yongjun Park, Scott A. Mahlke
SKMD: Single Kernel on Multiple Devices for Transparent CPU-GPU Collaboration. ACM Trans. Comput. Syst. 33 (3) (2015)
Jason Jong Kyu Park, Yongjun Park, Scott A. Mahlke
Chimera: Collaborative Preemption for Multitasking on a Shared GPU. ASPLOS (2015)
Soumyadeep Ghosh, Yongjun Park, Arun Raman
Enabling Efficient Alias Speculation. LCTES (2015)
Jason Jong Kyu Park, Yongjun Park, Scott A. Mahlke
Fine Grain Cache Partitioning Using Per-Instruction Working Blocks. PACT (2015)
Jason Jong Kyu Park, Yongjun Park, Scott A. Mahlke
Efficient execution of augmented reality applications on mobile programmable accelerators. FPT (2013)
Janghaeng Lee, Mehrzad Samadi, Yongjun Park, Scott A. Mahlke
Transparent CPU-GPU collaboration for data-parallel kernels on heterogeneous systems. PACT (2013)
Sangwon Seo, Ronald G. Dreslinski, Mark Woh, Yongjun Park, Chaitali Chakrabarti, Scott A. Mahlke, David T. Blaauw, Trevor N. Mudge
Process variation in near-threshold wide SIMD architectures. DAC (2012)
Yongjun Park, Sangwon Seo, Hyunchul Park, Hyoun Kyu Cho, Scott A. Mahlke
SIMD defragmenter: efficient ILP realization on data-parallel architectures. ASPLOS (2012)
Yongjun Park, Jason Jong Kyu Park, Hyunchul Park, Scott A. Mahlke
Libra: Tailoring SIMD Execution Using Heterogeneous Hardware and Dynamic Configurability. MICRO (2012)
Yongjun Park, Jason Jong Kyu Park, Scott A. Mahlke
Efficient performance scaling of future CGRAs for mobile applications. FPT (2012)
Yongjun Park, Hyunchul Park, Scott A. Mahlke, Sukjin Kim
Resource recycling: putting idle resources to work on a composable accelerator. CASES (2010)
Yongjun Park, Hyunchul Park, Scott A. Mahlke
CGRA express: accelerating execution using dynamic operation fusion. CASES (2009)
Hyunchul Park, Yongjun Park, Scott A. Mahlke
A dataflow-centric approach to design low power control paths in CGRAs. SASP (2009)
Hyunchul Park, Yongjun Park, Scott A. Mahlke
Polymorphic pipeline array: a flexible multicore accelerator with virtualized execution for mobile multimedia applications. MICRO (2009)