About

I am an Associate Professor in the Department of Computer Science and Engineering at Ewha Womans University, where I direct the IP-CAL (Intelligent system and Parallel Computer Architecture) Lab, which I founded in March 2021. My research focuses on the architecture of modern parallel computing systems — including GPU micro-architecture, memory systems such as unified virtual memory, machine learning and ray tracing accelerators, and general-purpose parallel processors — with the goal of improving the performance, efficiency, and programmability of next-generation hardware. My work has appeared at venues including ISCA, MICRO, HPCA, and PACT. Before joining Ewha, I worked on graphics and GPU software at Samsung Electronics. I received my Ph.D. in Electrical and Electronic Engineering from Yonsei University in 2018 and my B.S. in Computer Engineering and Computational Mathematics from Washington State University (WSU) in 2011.

Research Interests

  • Graphics Processing Unit (GPU)
  • Ray Tracing Accelerator (RTA)
  • Machine Learning Accelerator
  • Unified Virtual Memory (UVM)
  • Parallel Programming
  • Computer Architecture

Education

  • 2018 Ph.D. in Electrical and Electronic Engineering, Yonsei University, Korea
  • 2011 B.S. in Computer Engineering and Computational Math, Washington State University (WSU), USA

Work Experience

  • Mar. 2026 – Present Associate Professor, Ewha Womans University
    Department of Computer Science and Engineering
  • Mar. 2021 – Feb. 2026 Assistant Professor, Ewha Womans University
    Department of Computer Science and Engineering
  • Jun. 2020 – Feb. 2021 Network Business, Samsung Electronics
    Advanced S/W Lab
  • Mar. 2018 – May 2020 Mobile Communications Business, Samsung Electronics
    Graphic R&D Group

Academic Service

Organizing Committee

  • Registration Chair, 2026 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2026)
  • Local Arrangements Co-Chairs, 58th IEEE/ACM International Symposium on Microarchitecture (MICRO 2025)

Program Committee

  • 33rd IEEE International Symposium on High-Performance Computer Architecture (HPCA 2027)

Reviewer

  • ACM Transactions on Architecture and Code Optimization (TACO), 2026, 2025, 2024
  • IEEE Transactions on Computers (TC), 2026, 2025, 2021
  • IEEE Computer Architecture Letters (CAL), 2026
  • ETRI Journal, 2026, 2024
  • The Journal of Supercomputing, 2025, 2024, 2023
  • Microprocessors and Microsystems, 2024, 2022
  • IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2024
  • IEEE Transactions on Emerging Topics in Computing, 2023, 2021
  • ACM Transactions on Design Automation of Electronic Systems, 2023
  • IEEE Transactions on Parallel and Distributed Systems (TPDS), 2021

Publications

  1. ConfMake 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

    59th IEEE/ACM International Symposium on Microarchitecture (MICRO 2026), Athens, Greece, Oct. 31 – Nov. 4, 2026

  2. ConfComplex 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

    59th IEEE/ACM International Symposium on Microarchitecture (MICRO 2026), Athens, Greece, Oct. 31 – Nov. 4, 2026

  3. ConfUnderstanding and Exploiting Cache Asymmetry in Chiplet Processors via Profile-Predict-Guard Allocation

    Sunwoo Kim, Eunbi Jeong, and Myung Kuk Yoon

    IEEE International Symposium on Workload Characterization (IISWC 2026), Boulder, USA, Sep. 27 – 29, 2026

  4. ConfCharacterizing Performance Bottleneck of Distributed Shared Memory in Modern GPUs

    Jong Hyun Jeong, Myung Kuk Yoon, Yunho Oh, Hyeran Jeon, and Gunjae Koo

    IEEE International Symposium on Workload Characterization (IISWC 2026), Boulder, USA, Sep. 27 – 29, 2026

  5. ConfAccelerating 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

  6. JournalBiKD: Bidirectional Kernel Decomposition for Large-Scale GCNs on GPU

    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

  7. JournalRestructuring the Implicit GEMM Workflow for Complex-Valued Convolution

    Jaeeun Hwang, Eunbi Jeong, Jane Rhee, and Myung Kuk Yoon

    IEEE Access, Vol. 14, pp. 61010-61024, Apr. 2026

  8. JournalCommunication-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, Apr. 2026

  9. ConfCharacterizing Cache-Asymmetric CPU Topologies on AMD 3D V-Cache ProcessorsPoster Abstract

    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

  10. ConfFINEA: An Efficient Neural Network Accelerator Exploiting Factorized Input Features

    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

  11. JournalTM-Training: An Energy-Efficient Tiered Memory System for Deep Learning Training in NPUs

    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, Nov. 2025

  12. ConfWINS: Winograd Structured Pruning for Fast Winograd Convolution

    Cheonjun Park, Hyun Jae Oh, Mincheol Park, Hyunchan Moon, Minsik Kim, Suhyun Kim, Myung Kuk Yoon, and Won Woo Ro

    IEEE/CVF International Conference on Computer Vision (ICCV 2025), Honolulu, Hawaii, USA, Oct. 19 – 23, 2025

  13. ConfUnderstanding Distributed Training of Large Language Models with Unified Virtual Memory

    Jane Rhee, Eunbi Jeong, Jiwon Lee, and Myung Kuk Yoon

    IEEE International Symposium on Workload Characterization (IISWC 2025), Irvine, USA, Oct. 12 – 14, 2025

  14. ConfHALO: Hybrid Systolic Arrays via Logical Partitioning for Acceleration of Complex-Valued Neural Networks

    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

  15. ConfEnergy-Efficient Systolic Array for Complex-Valued Convolutional Neural Networks

    Ji Yeong Yi, Jane Rhee, and Myung Kuk Yoon

    40th International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC 2025), Seoul, Korea, July 07 – 10, 2025

  16. JournalMOST: 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, and Yunho Oh

    IEEE Computer Architecture Letters (CAL), Vol. 24, Issue 2, pp. 213-216, July 2025

  17. ConfAvant-Garde: Empowering GPUs with Scaled Numeric Formats

    Minseong Gil, Dongho Ha, Simla Burcu Harma, Myung Kuk Yoon, Babak Falsafi, Won Woo Ro, and Yunho Oh

    52nd IEEE/ACM International Symposium on Computer Architecture (ISCA 2025), Tokyo, Japan, June 21 – 25, 2025

  18. ConfSSFFT: 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, and Yunho Oh

    26th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES 2025), Seoul, Korea, June 15 – 16, 2025

  19. JournalTLP Balancer: Predictive Thread Allocation for Multi-Tenant Inference in Embedded GPUs

    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

  20. ConfHierarchical Traversal Stack Design Using Shared Memory for GPU Ray TracingBest Paper Nominee

    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

  21. JournalBeyond VABlock: Improving Transformer Workloads through Aggressive Prefetching

    Jane Rhee, Ikyoung Choi, Gunjae Koo, Yunho Oh, and Myung Kuk Yoon

    Journal of Systems Architecture (JSA), Vol. 162, pp. 103389, May 2025

  22. ConfHyMM: A Hybrid Sparse-Dense Matrix Multiplication Accelerator for GCNs

    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 – Apr. 2, 2025

  23. ConfWarped-Compaction: Maximizing GPU Register File Bandwidth Utilization via Operand Compaction

    Eunbi Jeong, Ipoom Jeong, Myung Kuk Yoon, and Nam Sung Kim

    31st IEEE International Symposium on High Performance Computer Architecture (HPCA 2025), Las Vegas, USA, Mar. 1 – 5, 2025

  24. ConfMarching Page Walks: Batching and Concurrent Page Table Walks for Enhancing GPU Throughput

    Jiwon Lee, Gun Ko, Myung Kuk Yoon, Ipoom Jeong, Yunho Oh, and Won Woo Ro

    31st IEEE International Symposium on High Performance Computer Architecture (HPCA 2025), Las Vegas, USA, Mar. 1 – 5, 2025

  25. ConfDEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism

    Cheonjun Park, Mincheol Park, Hyunchan Moon, Myung Kuk Yoon, Seokjin Go, Suhyun Kim, and Won Woo Ro

    38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada, Dec. 9 – 15, 2024

  26. JournalAdaptive Kernel Merge and Fusion for Multi-Tenant Inference in Embedded GPUs

    Jaebeom Jeon, Gunjae Koo, Myung Kuk Yoon, and Yunho Oh

    IEEE Embedded Systems Letters (ESL), Vol. 16, Issue 4, pp. 421-424, Dec. 2024

  27. ConfPerformance 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, Nov. 22 – 23, 2024

  28. JournalAdvancements 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

  29. ConfVitBit: Enhancing Embedded GPU Performance for AI Workloads through Register Operand Packing

    Jaebeom Jeon, Minseong Gil, Junsu Kim, Jaeyong Park, Gunjae Koo, Myung Kuk Yoon, and Yunho Oh

    53rd International Conference on Parallel Processing (ICPP 2024), Gotland, Sweden, Aug. 12 – 15, 2024

  30. ConfTwisted 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

  31. JournalTriple-A: Early Operand Collector Allocation for Maximizing GPU Register Bank Utilization

    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

  32. JournalConflict-Aware Compiler for Hierarchical Register File on GPUs

    Eunbi Jeong, Eun Seong Park, Gunjae Koo, Yunho Oh, and Myung Kuk Yoon

    Journal of Systems Architecture (JSA), Vol. 149, pp. 103099, Apr. 2024

  33. JournalSAVector: Vectored Systolic Arrays

    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, Mar. 2024

  34. ConfINTERPRET: Inter-Warp Register Reuse for GPU Tensor Core

    Jae Seok Kwak, Myung Kuk Yoon, Ipoom Jeong, Seunghyun Jin, and Won Woo Ro

    32nd International Conference on Parallel Architectures and Compilation Techniques (PACT 2023), Vienna, Austria, Oct. 21 – 25, 2023

  35. ConfWarped-MC: An Efficient Memory Controller Scheme for Massively Parallel ProcessorsBest Paper Award

    Jonghyun Jeong, Myung Kuk Yoon, Yunho Oh, and Gunjae Koo

    52nd International Conference on Parallel Processing (ICPP 2023), Salt Lake City, Utah, USA, Aug. 7 – 10, 2023

  36. JournalPerformance 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

  37. ConfPreloading Architecture for Graphics Processing UnitPaper Award

    Eun Seong Park, Eunbi Jeong, and Myung Kuk Yoon

    2023 Summer Annual Conference of IEIE, Jeju, Korea, June 28 – 30, 2023

  38. ConfReduced 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

  39. ConfEarly-Adaptor: An Adaptive Framework For Proactive UVM Memory Management

    Seokjin Go, Hyunwuk Lee, Junsung Kim, Jiwon Lee, Myung Kuk Yoon, and Won Woo Ro

    2023 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2023), Raleigh, NC, USA, Apr. 23 – 25, 2023

  40. JournalFairness 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

  41. ConfBalanced Column-Wise Block Pruning for Maximizing GPU Parallelism

    Cheonjun Park, Mincheol Park, Hyun Jae Oh, Minkyu Kim, Myung Kuk Yoon, Suhyun Kim, and Won Woo Ro

    37th Association for the Advancement of Artificial Intelligence (AAAI-23), Washington DC, USA, Feb. 07 – 14, 2023

  42. JournalCASH-RF: A Compiler-Assisted Hierarchical Register File in GPUs

    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

  43. ConfReconstructing Out-of-Order Issue Queue

    Ipoom Jeong, Jiwon Lee, Myung Kuk Yoon, and Won Woo Ro

    55th IEEE/ACM International Symposium on Microarchitecture (MICRO 2022), Chicago, Illinois, USA, Oct. 01 – 05, 2022

  44. JournalAnalyzing GCN Aggregation on GPU

    Inje Kim, Jonghyun Jeong, Yunho Oh, Myung Kuk Yoon, and Gunjae Koo

    IEEE Access, Vol. 10, pp. 113046-113060, Oct. 2022

  45. JournalGhostLeg: Selective Memory Coalescing for Secure GPU Architecture

    Jongmin Lee, Seungho Jung, Taewon Suh, Yunho Oh, Myung Kuk Yoon, and Gunjae Koo

    IEEE Access, Vol. 10, pp. 111449-111462, Oct. 2022

  46. JournalTEA-RC: Thread Context-Aware Register Cache for GPUs

    Ipoom Jeong, Yunho Oh, Won Woo Ro, and Myung Kuk Yoon

    IEEE Access, Vol. 10, pp. 82049-82062, Aug. 2022

  47. ConfCompiler-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

  48. ConfAnalyzing 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

  49. JournalREACT: Scalable and High-Performance Regular Expression Pattern Matching Accelerator for In-Storage Processing

    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

  50. JournalAdaptive Cooperation of Prefetching and Warp Scheduling on GPUs

    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

  51. ConfFineReg: Fine-Grained Register File Management for Augmenting GPU Throughput

    Yunho Oh, Myung Kuk Yoon, William J. Song, and Won Woo Ro

    51st IEEE/ACM International Symposium on Microarchitecture (MICRO 2018), Fukuoka, Japan, Oct. 20 – 24, 2018

  52. JournalWASP: Selective Data Prefetching with Monitoring Runtime Warp Progress on GPUs

    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

  53. JournalDynamic Resizing on Active Warps Scheduler to Hide Operation Stalls on GPUs

    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

  54. ConfOptimizing Intersection and Reflection Step of Geometrical Optics using GPUs

    Hyun Jin Chung, Myung Kuk Yoon, and Won Woo Ro

    16th International Conference on Electronics, Information and Communication (ICEIC 2017), Phuket, Thailand, Jan. 11 – 14, 2017

  55. ConfVirtual Thread: Maximizing Thread-Level Parallelism beyond GPU Scheduling Limit

    Myung Kuk Yoon, Keunsoo Kim, Sangpil Lee, Won Woo Ro, and Murali Annavaram

    43rd ACM/IEEE International Symposium on Computer Architecture (ISCA 2016), Seoul, Korea, Jun. 18 – 22, 2016

  56. ConfAPRES: Improving Cache Efficiency by Exploiting Load Characteristics on GPUs

    Yunho Oh, Keunsoo Kim, Myung Kuk Yoon, Jong Hyun Park, Yongjun Park, Won Woo Ro, and Murali Annavaram

    43rd ACM/IEEE International Symposium on Computer Architecture (ISCA 2016), Seoul, Korea, Jun. 18 – 22, 2016

  57. ConfWarped-Preexecution: A GPU Pre-execution Approach for Improving Latency Hiding

    Keunsoo Kim, Sangpil Lee, Myung Kuk Yoon, Gunjae Koo, Won Woo Ro, and Murali Annavaram

    22nd International IEEE Symposium on High Performance Computer Architecture (HPCA 2016), Barcelona, Spain, Mar. 12 – 16, 2016

  58. ConfDRAW: Investigating Benefits of Adaptive Fetch Group Size on GPU

    Myung Kuk Yoon, Yunho Oh, Sangpil Lee, Seung Hun Kim, Deokho Kim, and Won Woo Ro

    2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2015), Philadelphia, PA, USA, Mar. 29 – 31, 2015

  59. JournalIntroduction 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

  60. JournalA Distributed Signature Detection Method for Detecting Intrusions in Sensor Systems

    Ilkyu Kim, Doohwan Oh, Myung Kuk Yoon, Kyueun Yi, and Won Woo Ro

    Sensors, Vol. 13, No. 4, pp. 3998-4016, Mar. 2013

  61. ConfDirectory Centralized Ring-based Interconnection for Multi-Core Systems

    Myung Kuk Yoon, Sangpil Lee, Deokho Kim, and Won Woo Ro

    12th International Conference on Electronics, Information and Communication (ICEIC 2013), Bali, Indonesia, Jan. 30 – Feb. 2, 2013

Projects

Ongoing

  1. Basic Research Laboratory for Energy-Efficient, General-Purpose Multi-Modal AI with Heterogeneous Computing Accelerators

    National Research Foundation of Korea, June 2025 – May 2028

  2. A Study on Massively Parallel Processing Architectures for Maximizing Computational Performance and Energy Efficiency of Complex-Valued Neural Network

    National Research Foundation of Korea, Mar. 2025 – Feb. 2028

  3. Development of 5G-A vRAN Research Platform

    Institute for Information & Communication Technology Planning & Evaluation, Apr. 2024 – Dec. 2028

Completed

  1. Artificial Intelligence Innovation Hub

    Institute for Information & Communication Technology Planning & Evaluation, July 2021 – Dec. 2025

  2. Fine-grained Power Management Technique for Large-Scale Parallel Processors

    National Research Foundation of Korea, Sep. 2021 – Feb. 2024

  3. Developing General Purpose Processing Unit for Machine Learning Algorithms

    Ewha Womans University (Ewha Start-up Fund), Mar. 2021 – Feb. 2023

  4. Development of Multi-GPU Based High Speed Ray-Tracing Engine

    Samsung Electronics, 2017 – 2018

  5. Development of Ray Tracing Simulator for Wireless Communication on GPUs

    Samsung Electronics, 2016 – 2017

  6. GPU Architectures for Unstructured and Irregular Parallel Programs

    National Research Foundation of Korea, 2015 – 2018

  7. Development of Regular Expression Accelerator IP Embedded on SSD

    Samsung Electronics, 2015 – 2016

  8. Developing SSD-based MapReduce Acceleration Technology for Efficient Analysis of Big Data

    Samsung Electronics, 2014 – 2015

  9. Development of Power-awareness Android Binder Monitoring and Enhancement Techniques

    LG Electronics, 2013 – 2014

  10. Development of Low Power Cache Coherence Protocol and Interconnection Network

    LG Electronics, 2012 – 2013

Contact

Ewha Womans University

myungkuk.yoon@ewha.ac.kr Lab Homepage

Yonsei University

myungkuk.yoon@yonsei.ac.kr

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