*Co-corresponding authors    †Co-first authors    Blue name: IP-CAL member (current or alumni)

Conference Papers

  1. Make Every Batch Count: Fault Entry Merging for Efficient Batching in Unified Virtual Memory
     Jane Rhee†, SeJin Park†, Gunjae Koo, Yunho Oh, and Myung Kuk Yoon
    The 59th IEEE/ACM International Symposium on Microarchitecture (MICRO 2026), Athens, Greece, Oct. 31 - Nov. 4, 2026
  2. Complex Tensor Core: Software-Hardware Co-Design for Accelerating Complex-Valued Neural Networks on GPUs
     Eunbi Jeong, Jennifer N. Choi, Ji Yeong Yi, Jane Rhee, Gunjae Koo, Yunho Oh*, and Myung Kuk Yoon*
    The 59th IEEE/ACM International Symposium on Microarchitecture (MICRO 2026), Athens, Greece, Oct. 31 - Nov. 4, 2026
  3. Accelerating Vision Transformer Inference via Non-GEMM Kernel Fusion on Edge GPUs
     Sejin Park, Yoonhyung Park, Sunhwa Kang, and Myung Kuk Yoon
    2026 Summer Annual Conference of IEIE, Jeju, Korea, June 23 - 26, 2026
  4. Characterizing Cache-Asymmetric CPU Topologies on AMD 3D V-Cache Processors (Poster Abstract) ๐Ÿ“„
     Sunwoo Kim, Eunbi Jeong, and Myung Kuk Yoon
    2026 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2026), Seoul, Korea, April 26 - 28, 2026
  5. FINEA: An Efficient Neural Network Accelerator Exploiting Factorized Input Features ๐Ÿ“„
     Yujin Kim, Chanhun Jeong, Yunho Oh, Myung Kuk Yoon, and Gunjae Koo
    IEEE International Conference on Computer Design (ICCD 2025), Dallas, USA, Nov. 10 - 12, 2025
  6. WINS: Winograd Structured Pruning for Fast Winograd Convolution ๐Ÿ“„
     Cheonjun Park, Hyun Jae Oh, Mincheol Park, Hyunchan Moon, Minsik Kim, Suhyun Kim, Myung Kuk Yoon, and Won Woo Ro
    The IEEE/CVF International Conference on Computer Vision (ICCV), Honolulu, Hawaii, USA, Oct. 19 - 23, 2025
  7. Understanding Distributed Training of Large Language Models with Unified Virtual Memory ๐Ÿ“„
     Jane Rhee, Eunbi Jeong, Jiwon Lee, and Myung Kuk Yoon
    IEEE International Symposium on Workload Characterization (IISWC 2025), Irvine, USA, Oct. 12 - 14, 2025
  8. HALO: Hybrid Systolic Arrays via Logical Partitioning for Acceleration of Complex-Valued Neural Networks ๐Ÿ“„
     Ji Yeong Yi†, Eunbi Jeong†, SungHee Yum, Jane Rhee, Sangun Choi, Gunjae Koo, Yunho Oh*, and Myung Kuk Yoon*
    IEEE International Symposium on Workload Characterization (IISWC 2025), Irvine, USA, Oct. 12 - 14, 2025
  9. Energy-Efficient Systolic Array for Complex-Valued Convolutional Neural Networks
     Ji Yeong Yi, Jane Rhee, and Myung Kuk Yoon
    The 40th International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC 2025), Seoul, Korea, July 07 - 10, 2025
  10. SSFFT: Energy-Efficient Selective Scaling for Fast Fourier Transform in Embedded GPUs ๐Ÿ“„
     Dongwon Yang, Jaebeom Jeon, Minseong Gil, Junsu Kim, Seondeok Kim, Gunjae Koo, Myung Kuk Yoon, and Yunho Oh
    The 26th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES 2025), Seoul, Korea, June 15 - 16, 2025
  11. Avant-Garde: Empowering GPUs with Scaled Numeric Formats ๐Ÿ“„
     Minseong Gil, Dongho Ha, Simla Burcu Harma, Myung Kuk Yoon, Babak Falsafi, Won Woo Ro, and Yunho Oh
    The 52nd IEEE/ACM IInternational Symposium on Computer Architecture (ISCA 2025), Tokyo, Japan, June 21 - 25, 2025
  12. Hierarchical Traversal Stack Design Using Shared Memory for GPU Ray Tracing ( Best Paper Nominee) ๐Ÿ“„
     Eunsoo Jung, Eunbi Jeong, Gunjae Koo, Yunho Oh*, and Myung Kuk Yoon*
    2025 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2025), Ghent, Belgium, May 11 - 13, 2025
  13. HyMM: A Hybrid Sparse-Dense Matrix Multiplication Accelerator for GCNs ๐Ÿ“„
     Hunjong Lee, Jihun Lee, Jaewon Seo, Yunho Oh, Myung Kuk Yoon, and Gunjae Koo
    Design, Automation and Test in Europe Conference (DATE 2025), Lyon, France, Mar. 31 - April 2, 2025
  14. Warped-Compaction: Maximizing GPU Register File Bandwidth Utilization via Operand Compaction ๐Ÿ“„
     Eunbi Jeong, Ipoom Jeong*, Myung Kuk Yoon*, and Nam Sung Kim
    The 31st International IEEE Symposium on High Performance Computer Architecture (HPCA 2025), Las Vegas, United States, Mar. 1 - 5, 2025
  15. Marching Page Walks: Batching and Concurrent Page Table Walks for Enhancing GPU Throughput ๐Ÿ“„
     Jiwon Lee, Gun Ko, Myung Kuk Yoon, Ipoom Jeong, Yunho Oh, and Won Woo Ro
    The 31st International IEEE Symposium on High Performance Computer Architecture (HPCA 2025), Las Vegas, United States, Mar. 1 - 5, 2025
  16. DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism ๐Ÿ“„
     Cheonjun Park, Mincheol Park, Hyunchan Moon, Myung Kuk Yoon, Seokjin Go, Suhyun Kim, and Won Woo Ro
    The 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada, Dec. 9 - 15, 2024
  17. Performance Comparison of CNN Pruning Techniques Using NanoSAM Model on Jetson Orin Nano
     Jaeeun Hwang, Seonwoo Kim, and Myung Kuk Yoon
    2024 Autumn Annual Conference of IEIE, Jeongseon, Gangwon, Korea, November 22 - 23, 2024
  18. VitBit: Enhancing Embedded GPU Performance for AI Workloads through Register Operand Packing ๐Ÿ“„
     Jaebeom Jeon, Minseong Gil, Junsu Kim, Jaeyong Park, Gunjae Koo, Myung Kuk Yoon*, and Yunho Oh*
    The 53rd International Conference on Parallel Processing (ICPP 2024), Gotland, Sweden, August 12 - 15, 2024
  19. Twisted Bank Arbitrator for Balanced Register Bank Accesses on Graphics Processing Units
     Eunbi Jeong, Ipoom Jeong, and Myung Kuk Yoon
    2024 Summer Annual Conference of IEIE, Jeju, Korea, June 26 - 28, 2024
  20. INTERPRET: Inter-Warp Register Reuse for GPU Tensor Core ๐Ÿ“„
     Jae Seok Kwak, Myung Kuk Yoon, Ipoom Jeong, Seunghyun Jin, and Won Woo Ro
    The 32nd International Conference on Parallel Architectures and Compilation Techniques (PACT 2023), Vienna, Austria, Oct. 21 - 25, 2023
  21. Warped-MC: An Efficient Memory Controller Scheme for Massively Parallel Processors (Best Paper Award) ๐Ÿ“„
     Jonghyun Jeong, Myung Kuk Yoon, Yunho Oh, and Gunjae Koo
    The 52nd International Conference on Parallel Processing (ICPP 2023), Salt Lake City, Utah, USA, August 7 - 10, 2023
  22. Preloading Architecture for Graphics Processing Unit (Paper Award, ์šฐ์ˆ˜๋…ผ๋ฌธ์ƒ)
     Eun Seong Park, Eunbi Jeong, and Myung Kuk Yoon
    2023 Summer Annual Conference of IEIE, Jeju, Korea, June 28 - 30, 2023
  23. Reduced Precision Floating Point for Ray Tracing
     Eun Soo Jung, Yeonhee Jung, and Myung Kuk Yoon
    2023 Summer Annual Conference of IEIE, Jeju, Korea, June 28 - 30, 2023
  24. Early-Adaptor: An Adaptive Framework For Proactive UVM Memory Management ๐Ÿ“„
     Seokjin Go, Hyunwuk Lee, Junsung Kim, Jiwon Lee, Myung Kuk Yoon, and Won Woo Ro
    The 2023 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2023), Raleigh, NC, USA, Apr. 23 - 25, 2023
  25. Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism ๐Ÿ“„
     Cheonjun Park, Mincheol Park, Hyun Jae Oh, Minkyu Kim, Myung Kuk Yoon, Suhyun Kim, and Won Woo Ro
    The 37th Association for the Advancement of Artificial Intelligence (AAAI-23), Washington DC, USA, Feb. 07 - 14, 2023
  26. Reconstructing Out-of-Order Issue Queue ๐Ÿ“„
     Ipoom Jeong, Jiwon Lee, Myung Kuk Yoon, and Won Woo Ro
    The 55th IEEE/ACM International Symposium on Microarchitecture (MICRO 2022), Chicago, Illinois, USA, Oct. 01 - 05, 2022
  27. Compiler-Assisted GPU Register File Power Management Technique
     Myung Kuk Yoon
    2022 International Conference on Electronics, Information, and Communication (ICEIC 2022), Jeju, Korea, Feb. 06 - 09, 2022
  28. Analyzing Characteristics of Memory Side-Channels in GPU
     Seungho Jung, Myung Kuk Yoon, and Gunjae Koo
    2021 Korea Software Congress (KSC 2021), Pyeongchang, Korea, Dec. 20 - 22, 2021
  29. FineReg: Fine-Grained Register File Management for Augmenting GPU Throughput ๐Ÿ“„
     Yunho Oh, Myung Kuk Yoon, William J. Song, and Won Woo Ro
    The 51st IEEE/ACM International Symposium on Microarchitecture (MICRO 2018), Fukuoka, Japan, Oct. 20 - 24, 2018
  30. Optimizing Intersection and Reflection Step of Geometrical Optics using GPUs
     Hyun Jin Chung, Myung Kuk Yoon, and Won Woo Ro
    The 16th International Conference on Electronics, Information and Communication (ICEIC 2017), Phuket, Thailand, Jan. 11 - 14, 2017
  31. Virtual Thread: Maximizing Thread-Level Parallelism beyond GPU Scheduling Limit ๐Ÿ“„
     Myung Kuk Yoon, Keunsoo Kim, Sangpil Lee, Won Woo Ro, and Murali Annavaram
    The 43rd ACM/IEEE International Symposium on Computer Architecture (ISCA 2016), Seoul, Korea, Jun. 18 - 22, 2016
  32. APRES: Improving Cache Efficiency by Exploiting Load Characteristics on GPUs ๐Ÿ“„
     Yunho Oh, Keunsoo Kim, Myung Kuk Yoon, Jong Hyun Park, Yongjun Park, Won Woo Ro, and Murali Annavaram
    The 43rd ACM/IEEE International Symposium on Computer Architecture (ISCA 2016), Seoul, Korea, Jun. 18 - 22, 2016
  33. Warped-Preexecution: A GPU Pre-execution Approach for Improving Latency Hiding ๐Ÿ“„
     Keunsoo Kim, Sangpil Lee, Myung Kuk Yoon, Gunjae Koo, Won Woo Ro, and Murali Annavaram
    The 22nd International IEEE Symposium on High Performance Computer Architecture (HPCA 2016), Barcelona, Spain, Mar. 12 - 16, 2016
  34. DRAW: Investigating Benefits of Adaptive Fetch Group Size on GPU ๐Ÿ“„
     Myung Kuk Yoon, Yunho Oh, Sangpil Lee, Seung Hun Kim, Deokho Kim, and Won Woo Ro
    The 2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2015), Philadelphia, PA, USA, Mar. 29 - 31, 2015
  35. Directory Centralized Ring-based Interconnection for Multi-Core Systems
     Myung Kuk Yoon, Sangpil Lee, Deokho Kim, and Won Woo Ro
    The 12th International Conference on Electronics, Information and Communication (ICEIC 2013), Bali, Indonesia, Jan. 30 - Feb. 2, 2013

Journal Papers

  1. BiKD: Bidirectional Kernel Decomposition for Large-Scale GCNs on GPU ๐Ÿ“„
    Inje Kim, Jihun Lee, Jong Hyun Jeong, Geonwoo Choi, Myung Kuk Yoon, Yunho Oh, and Gunjae Koo
    IEEE Access, Vol. 14, pp. 96754 - 96770, June 2026
  2. Restructuring the Implicit GEMM Workflow for Complex-Valued Convolution ๐Ÿ“„
    Jaeeun Hwang, Eunbi Jeong, Jane Rhee, and Myung Kuk Yoon
    IEEE Access, Vol. 14, pp. 61010 - 61024, April 2026
  3. Communication-Optimized Tensor Parallelism for Efficient Multi-GPU Training of Complex-Valued CNNs
    Seonwoo Kim, Jane Rhee, and Myung Kuk Yoon
    Journal of the Institute of Electronics and Information Engineers (IEIE), Vol. 63, No. 4, pp. 53-66, April 2026
  4. TM-Training: An Energy-Efficient Tiered Memory System for Deep Learning Training in NPUs ๐Ÿ“„
    Jaeyong Park, Sangun Choi, Jongmin Kim, Gunjae Koo, Myung Kuk Yoon*, and Yunho Oh*
    ACM Transactions on Storage (TOS), Vol. 21, Issue 4, Article No. 32, pp. 1 - 26, November 2025
  5. MOST: Memory Oversubscription-aware Scheduling for Tensor Migration on GPU Unified Storage ๐Ÿ“„
    Junsu Kim, Jaebeom Jeon, Jaeyong Park, Sangun Choi, Minseong Gil, Seokin Hong, Gunjae Koo, Myung Kuk Yoon, and Yunho Oh
    IEEE Computer Architecture Letters (CAL), Vol. 24, Issue 2, pp. 213 - 216, July 2025
  6. TLP Balancer: Predictive Thread Allocation for Multi-Tenant Inference in Embedded GPUs ๐Ÿ“„
    Minseong Gil, Jaebeom Jeon, Junsu Kim, Sangun Choi, Gunjae Koo, Myung Kuk Yoon*, and Yunho Oh*
    IEEE Embedded Systems Letters (ESL), Vol. 17, Issue 3, pp. 180-183, June 2025
  7. Beyond VABlock: Improving Transformer Workloads through Aggressive Prefetching ๐Ÿ“„
    Jane Rhee, Ikyoung Choi, Gunjae Koo, Yunho Oh*, and Myung Kuk Yoon*
    Journal of Systems Architecture (JSA), Vol. 162, pp. 103389, May 2025
  8. Adaptive Kernel Merge and Fusion for Multi-Tenant Inference in Embedded GPUs ๐Ÿ“„
    Jaebeom Jeon, Gunjae Koo, Myung Kuk Yoon*, and Yunho Oh*
    IEEE Embedded Systems Letters (ESL), Vol. 16, Issue 4, pp. 421-424, December 2024
  9. Advancements in GPUs for Maximizing AI Application Performance and Research Trends
    Jane Rhee, Eunbi Jeong, and Myung Kuk Yoon
    Communications of the Korean Institute of Information Scientists and Engineers, Vol. 42, Issue 9, pp. 8-13, Sep. 2024
  10. Triple-A: Early Operand Collector Allocation for Maximizing GPU Register Bank Utilization ๐Ÿ“„
    Ipoom Jeong, Eunbi Jeong, Nam Sung Kim, and Myung Kuk Yoon
    IEEE Embedded Systems Letters (ESL), Vol. 16, Issue 2, pp. 206-209, June 2024
  11. Conflict-Aware Compiler for Hierarchical Register File on GPUs ๐Ÿ“„
    Eunbi Jeong, Eun Seong Park, Gunjae Koo, Yunho Oh*, and Myung Kuk Yoon*
    Journal of Systems Architecture (JSA), Vol. 149, pp. 103099, Apr. 2024
  12. SAVector: Vectored Systolic Arrays ๐Ÿ“„
    Sangun Choi, Seongjun Park, Jaeyong Park, Jongmin Kim, Gunjae Koo, Seokin Hong, Myung Kuk Yoon*, and Yunho Oh*
    IEEE Access, Vol. 12, pp. 44446 - 44461, March 2024
  13. Performance Analysis of Neural Processing Units with Emerging Memory Technologies
    Sangun Choi, Seongjun Park, Jaeyong Park, Seokin Hong, Myung Kuk Yoon, and Yunho Oh
    Journal of the Institute of Electronics and Information Engineers (IEIE), Vol. 60, No. 7, pp. 30-39, July 2023
  14. Fairness Analysis of Multi-Tenant Applications on Multi-Instance GPUs
    Jane Rhee and Myung Kuk Yoon
    Journal of the Institute of Electronics and Information Engineers (IEIE), Vol. 60, No. 4, pp. 11-23, Apr. 2023
  15. CASH-RF: A Compiler-Assisted Hierarchical Register File in GPUs ๐Ÿ“„
    Yunho Oh, Ipoom Jeong, Won Woo Ro, and Myung Kuk Yoon
    IEEE Embedded Systems Letters (ESL), Vol. 14, Issue 4, pp. 187-190, Dec. 2022
  16. Analyzing GCN Aggregation on GPU ๐Ÿ“„
    Inje Kim, Jonghyun Jeong, Yunho Oh, Myung Kuk Yoon, and Gunjae Koo
    IEEE Access, Vol. 10, pp. 113046 - 113060, Oct. 2022
  17. GhostLeg: Selective Memory Coalescing for Secure GPU Architecture ๐Ÿ“„
    Jongmin Lee, Seungho Jung, Taewon Suh, Yunho Oh, Myung Kuk Yoon, and Gunjae Koo
    IEEE Access, Vol. 10, pp. 111449 - 111462, Oct. 2022
  18. TEA-RC: Thread Context-Aware Register Cache for GPUs ๐Ÿ“„
    Ipoom Jeong, Yunho Oh, Won Woo Ro, and Myung Kuk Yoon
    IEEE Access, Vol. 10, pp. 82049 - 82062, Aug. 2022
  19. REACT: Scalable and High-Performance Regular Expression Pattern Matching Accelerator for In-Storage Processing ๐Ÿ“„
    Won Seob Jeong, Changmin Lee, Keunsoo Kim, Myung Kuk Yoon, Won Jeon, Myoungsoo Jung, and Won Woo Ro
    IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 31, Issue 5, pp. 1137-1151, May 2020
  20. Adaptive Cooperation of Prefetching and Warp Scheduling on GPUs ๐Ÿ“„
     Yunho Oh, Keunsoo Kim, Myung Kuk Yoon, Jong Hyun Park, Yongjun Park, Murali Annavaram, and Won Woo Ro
    IEEE Transactions on Computers (TC), Vol. 68, No. 4, pp. 609-616, Apr. 2019
  21. WASP: Selective Data Prefetching with Monitoring Runtime Warp Progress on GPUs ๐Ÿ“„
     Yunho Oh, Myung Kuk Yoon, Jong Hyun Park, Yongjun Park, and Won Woo Ro
    IEEE Transactions on Computers (TC), Vol. 67, No. 9, pp. 1366-1373, Sep. 2018
  22. Dynamic Resizing on Active Warps Scheduler to Hide Operation Stalls on GPUs ๐Ÿ“„
     Myung Kuk Yoon, Yunho Oh, Sangpil Lee, Seung Hun Kim, Deokho Kim, and Won Woo Ro
    IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 28, No. 11, pp. 3142-3156, Nov. 2017
  23. Introduction to Researches on Performance Bottlenecks of Many-Core GPU Architectures
     Yunho Oh, Myung Kuk Yoon, Jong Hyun Park, and Won Woo Ro
    Communications of KIISE, Vol. 32 No. 5, May, 2014
  24. A Distributed Signature Detection Method for Detecting Intrusions in Sensor Systems ๐Ÿ“„
     Ilkyu Kim, Doohwan Oh, Myung Kuk Yoon, Kyueun Yi, and Won Woo Ro
    Sensors, Vol. 13, No. 4, pp. 3998-4016, Mar. 2013

Patents

  1. ๊ท ํ˜•์ ์ธ ๋ ˆ์ง€์Šคํ„ฐ ๋ฑ…ํฌ ์ ‘๊ทผ์„ ์œ„ํ•œ ๋ ˆ์ง€์Šคํ„ฐ ๋ฑ…ํฌ ์•„๋น„ํŠธ๋ ˆ์ด์…˜ ์žฅ์น˜ ๋ฐ ๋ฐฉ๋ฒ•
     KR-10-2024-0094746, KR-10-2975839
  2. ์ œ๋กœ ํƒ์ง€ ๊ธฐ๋ฐ˜ ํด๋ก ๊ฒŒ์ดํŒ…์ด ์ ์šฉ๋œ ์—ฐ์‚ฐ ์žฅ์น˜ ๋ฐ ์ด์˜ ๋™์ž‘ ๋ฐฉ๋ฒ•
     KR-10-2025-0102666, KR-10-2961283
  3. ์ปดํŒŒ์ผ๋Ÿฌ ๋ฐ์ดํ„ฐ ์˜์กด์„ฑ ์ •๋ณด๋ฅผ ์ด์šฉํ•œ ํ”„๋กœ์„ธ์„œ์˜ ๋ช…๋ น์–ด ์—ฐ์‚ฐ ์ˆ˜ํ–‰ ๋ฐฉ๋ฒ•
     KR-10-2022-0054408, KR-10-2919812
  4. ๊ณ„์ธตํ˜• ๋ ˆ์ง€์Šคํ„ฐ ํŒŒ์ผ์˜ ๋ ˆ์ง€์Šคํ„ฐ ์บ์‹œ ๊ฒฝํ•ฉ์„ ์ค„์ด๊ธฐ ์œ„ํ•œ ์ปดํŒŒ์ผ๋Ÿฌ ๋ ˆ์ง€์Šคํ„ฐ ํ• ๋‹น ๋ฐฉ๋ฒ• ๋ฐ ์ด๋ฅผ ์ˆ˜ํ–‰ํ•˜๋Š” ์ „์ž ์žฅ์น˜
     KR-10-2024-0065666, KR-10-2897522
  5. ๊ฐ€์ง€์น˜๊ธฐ ๋น„์œจ์„ ๊ณ ๋ คํ•œ ๊ทธ๋ž˜ํ”ฝ ํ”„๋กœ์„ธ์‹ฑ ์œ ๋‹›์˜ ์Šค๋ ˆ๋“œ ๋ธ”๋ก์„ ์Šค์ผ€์ค„๋ง ํ•˜๋Š” ๋ฐฉ๋ฒ• ๋ฐ ์žฅ์น˜
     KR-10-2022-0057229, KR-10-2751159
  6. ์˜คํผ๋žœ๋“œ ์ปฌ๋ ‰ํ„ฐ๋ฅผ ๋ฏธ๋ฆฌ ํ• ๋‹นํ•˜์—ฌ ๋ ˆ์ง€์Šคํ„ฐ ํŒŒ์ผ์„ ํšจ์œจ์ ์œผ๋กœ ์‚ฌ์šฉํ•˜๋Š” ์ „์ž ์žฅ์น˜ ๋ฐ ๊ทธ ๋™์ž‘ ๋ฐฉ๋ฒ•
     KR-10-2023-0110116, KR-10-2713738
  7. ํ”„๋กœ์„ธ์„œ์˜ ๋ ˆ์ง€์Šคํ„ฐ ์บ์‹œ ์ธ๋ฑ์Šค ๊ฒฐ์ • ๋ฐฉ๋ฒ• ๋ฐ ์ด๋ฅผ ์ˆ˜ํ–‰ํ•˜๋Š” ์ „์ž ์žฅ์น˜
     KR-10-2022-0096238, KR-10-2663496
  8. ๋ฌด์„  ํ†ต์‹  ์‹œ์Šคํ…œ์—์„œ ์‹œ๋ฎฌ๋ ˆ์ดํ„ฐ์˜ ์ „ํŒŒํ™˜๊ฒฝ ๋ถ„์„ ๋ฐฉ๋ฒ• ๋ฐ ์žฅ์น˜
     KR-10-2019-0083497, KR-10-2477690
  9. ์Šคํ† ๋ฆฌ์ง€ ์‹œ์Šคํ…œ ๋ฐ ์ด์˜ ๋™์ž‘ ๋ฐฉ๋ฒ• (Storage System And Operating Method Thereof)
     KR-10-2017-0070960, KR-10-2276912, US10671307B2