Myoungsoo Jung
Associate Professor
Korea Advanced Institute of Science and Technology

School of Electrical Engineering
Computer Division (Ranking)
N1, 411; Phone: 82-42-352-7455

NEWS : (2019~2020)

We will have a Keynote speech for Samsung Open Source Conference 2020
Our OpenExpress has debuted at more than 50 major press reports!
Gyuyoung's a design of PRAM-based SSD work has been accepted from ICCAD'20 TOP-TIER
Jie's NVMe work has been accepted from IEEE CAL SCI Q2
Jung's full hardware automation work has been accepted from USENIX ATC'20 TOP-TIER
Jie's GPU multi-processor with new flash has been accepted from ISCA'20 TOP-TIER
Our collaborative work regarding 3D NAND Flash has been accpeted from SIGMETRICS'20 TOP-TIER
One of collaborative storage work has been accepted from ISPASS'20 MAJOR
Miryeong, Donghyun, and Changrim's DC-Store work has been accepted from FAST'20 TOP-TIER
Jie&Miryeong's scalable parallell flash firmware research has been accepted from FAST'20 TOP-TIER
Wonil's conslidated flash cache work has been accepted by ASPLOS'20 TOP-TIER
Jie and Gyuyoung's Hardware Accleartion with New Memory work has been accepted by HPCA'20 TOP-TIER
Sungjoon's Faster than Flash work has been accepted from IISWC'19 MAJOR
Wonil's dominant resource fairness has been accepted from USENIX HotStorage'19
Wonil's GC scheduling work has been accepted from IEEE TCAD SCI Q1
Jie's placing new flash next to GPU cores work has been accepted by DAC'19 TOP-TIER
One of our collaboration work (low-latency phase change memory architecture) is accepted by DAC'19 TOP-TIER
Sungjoon's fault-toralance erasure codes for all-flash array study has been published by TPDS SCI Q1-10%
Jie's Integrating new memory into GPGPU work has been accepted from HPCA 2019 TOP-TIER
Dr. Jung collaborative work (3D NAND Flash related) has been accepted from ASPLOS 2019 TOP-TIER
Dr. Jung collaborative work has been accepted from SIGMETRICS 2019 TOP-TIER

Lab's full history is here


  • Korea Advanced Institute of Science and Technology (KAIST), Associate Professor, 2019~present
  • Yonsei University, Assistant Professor, 2015~2019
  • The University of Texas at Dallas, Assistant Professor (Tenure-track), 2013~2016
  • Lawrence Berkeley National Laboratory, Guest Scientist, Computational Research Division, Computer Architecture Group 2011~2015
  • Samsung Electronics, Memory Division, Researcher/Engineer, 2006~2009
  • Pennsylvania State University at Ph.D. Computer Science, 2013

Dr. Jung's research is supported by and in collaboration with the Department of Energy, the National Energy Research Scientific Computing Center in Oakland, California and the National Science Foundation, Ministry of Science, ICT and Future Planning and National Research Foundation of Korea; his lab solely secures more than $4M. He also works with Lawrence Berkeley National Laboratory as Guest Research Scientist, to model and simulate diverse memory technologies on scientific applications in designing energy-efficient Exascale computing systems. In addition to his academic activities, Dr. Jung has many years of industry experience, several industrial U.S. patents related to multi-channel SSDs, and approximately sixty technical papers regarding SSD flash firmware and kernel-level file systems. He earned his Ph.D. in Computer Science at Pennsylvania State University and his M.S. in Computer Science from Georgia Institute of Technology, and an M.S. in Embedded System from Korea University in Seoul. His research has been nominated as best paper from the Institute of Electrical and Electronics Engineers/Association for Computing Machinery (IEEE/ACM) Internal Conference for High Performance Computing, Networking, Storage and Analysis 2013 (SC'13). He has received the Lawrence Berkeley National Laboratory Award of Excellence, Samsung Flash Software Group Best Engineer and Product Planning awards, and Future Scientist and Competitive Professional Development awards from South Korean federal agencies.


  • Computer Architecture
  • Flash, Solid State Drive (SSD), Storage Systems and Non-Volatile Memory (NVM)
  • Operating Systems, File Systems, Parallel Processing, and Heterogenous Computing
  • Performance Modeling, System Analysis and Scheduling Algorithms

Dr. Jung loves memory and storage systems. His research topics are mainly focused on advanced computer architecture, embedded systems, firmware, middleware, memory controller design atop/within storage class Non-Volatile Memory (NVM) technologies such as NAND flash, Resistive RAM (RRAM), Magnetic RAM (STT-RAM), and Phase-change RAM (PCRAM). These emerging NVM studies will define new computer architecture and new parallelism computing, which can in turn boost performance and reduce energy consumption with better reliability at a given technology. He actively leads diverse NVM projects such as modeling open source-based NVM simulation, analyzing/designing high performance many-chip Solid State Disks (SSD), developing host-local NVM systems and optimizing NVM software stacks. He is also interested in introducing different types of NVM technology into big-data processing and scientific applications such as out-of-core computing, in-situ analysis and message logging, and enabling NVM-based burst buffer/micro-check pointing under diverse high performance computing (HPC) and data-center system organizations.


Venue/AreaPublication Information
(Operating Systems)
Myoungsoo Jung, "OpenExpress: Fully Hardware Automated Open Research Framework for Future Fast NVMe Devices" (acceptance rate: 18%) [ paper ] [ download ] [ US news1 (ZDNet) ] [ US news2 (Registers) ] [ US news3 (Tom's Hardware) ] [ US news4 ] [ US news5 ] [ US news6 ] [ KR news 45+ (Naver) ] [ KR major print press/newspaper 5+ ]
(Computer Architecture)
Jie Zhang and Myoungsoo Jung, "ZnG: Architecting GPU Multi-Processors with New Flash for Scalable Data Analysis" (acceptance rate: 18%)
(Operating Systems)
Chun-Yi Liu, Jagadish Kotra, Myoungsoo Jung, Mahmut Taylan Kandemir, "Centaur: A Novel Architecture for Reliable, Low-Wear, High-Density 3D NAND Storage" (acceptance rate: 15%)
(Operating Systems)
Miryeong Kwon, Donghyun Gouk, Changrim Lee, ByoungGeun Kim, Jooyoung Hwang, Myoungsoo Jung, "DC-Store: Eliminating Noisy Neighbor Containers using Deterministic I/O Performance and Resource Isolation" (acceptance rate: 16%)
(Operating Systems)
Jie Zhang, Miryeong Kwon, Michael Swift, Myoungsoo Jung, "Scalable Parallel Flash Firmware for Many-core Architectures" (acceptance rate: 16%)
(Operating Systems)
Wonil Choi, Bhuvan Urgaonka, Mahmut Kandemir, Myoungsoo Jung, David Evans, "Fair Write Attribution and Allocation for Consolidated Flash Cache" (acceptance rate: 18%)
(Computer Architecture)
Jie Zhang, Gyuyoung Park, David Donofrio, John Shalf, Myoungsoo Jung , "DRAM-less: Hardware Acceleration of Data Processing with New Memory" (acceptance rate: 19%)
(Computer Architecture)
Jie Zhang, Miryeong Kwon, Hyojong Kim, Hyesoon Kim, Myoungsoo Jung, "FlashGPU: Placing New Flash Next to GPU Cores" (acceptance rate: 24%)
(Computer Architecture)
Choungki Song, Woo Young Cho, Jian Huang, Myoungsoo Jung, Nam Sung Kim, "LL-PCM: Low-Latency Phase Change Memory Architecture" (acceptance rate: 24%)
(Computer Architecture)
Jie Zhang, Myoungsoo Jung, Mahmut Kandemir, "FUSE: Fusing STT-MRAM into GPUs to Alleviate Off-Chip Memory Access Overheads" (acceptance rate: 19%)
(Operating Systems)
Chun-Yi Liu, Jagadish B. Kotra, Myoungsoo Jung, Mahmut Kandemir, Chita R. Das, "SOML Read: Rethinking the Read Operation Granularity of 3D NAND SSDs" (acceptance rate: 21%)
(Operating Systems)
Xulong Tang, Mahmut Kandemir, Hui Zhao , Myoungsoo Jung, Mustafa Karakoy, "Computing with Near Data" (acceptance rate: 8%)
(Operating Systems)
Jie Zhang, Miryeong Kwon, Donghyun Gouk, Changlim Lee, Mohammad Alian, Myoungjun Chun, Mahmut Kandemir, Nam Sung Kim, Jihong Kim, Myoungsoo Jung, "FlashShare: Punching Through Server Storage Stack from Kernel to Firmware for Ultra-Low Latency SSDs" (acceptance rate: 17%)
(Computer Architecture)
Donghyun Gouk, Miryeong Kwon, Jie Zhang, Sungjoon Koh, Wonil Choi, Nam Sung Kim, Mahmut Kandemir, Myoungsoo Jung, "Amber: Enabling Precise Full-System Simulation with Detailed Modeling of All SSD Resources" (acceptance rate: 21%)
(Computer Architecture)
Wonil Choi, Myoungsoo Jung, Mahmut Kandemir, " Invalid Data-Aware Coding to Enhance the Read Performance of High-Density Flash Memories" (acceptance rate: 21%)
Orhan Kislal, Jagadish Kotra, Xulong Tang, Mahmut Kandemir, Myoungsoo Jung, "Enhancing Computation-to-Core Assignment with Physical Location Information" (acceptance rate: 21%)
(Operating Systems)
Jie Zhang, Myoungsoo Jung, "FlashAbacus: A Self-governing Flash-based Accelerator for Low-power Systems" (acceptance rate: 16%)
(Operating Systems)
Chun-yi Liu, Jagadish Kotra, Myoungsoo Jung, Mahmut Kandemir, "PEN: Design and Evaluation of Partial-Erase for 3D NAND-Based High Density SSDs" (acceptance rate: 16%)
(Operating Systems)
Wonil Choi, Mohammad Arjomand, Myoungsoo Jung, Mahmut Kandemir, "Exploiting Data Longevity for Enhancing the Lifetime of Flash-based Storage Class Memory" [ paper ] (acceptance rate: 13%)
(Operating Systems)
Nima Elyasi, Mohammad Arjomand, Anand Sivasubramaniam, Mahmut Kandemir, Chita Das, Myoungsoo Jung, "Exploiting Intra-Request Slack to Improve SSD Performance" [ paper ] (acceptance rate: 17%)
(Distributed Computing)
Narges Shahidi, Mohammad Arjomand, Myoungsoo Jung, Mahmut Kandemir, Chita Das, Anand Sivasubramaniam, "Exploring the Potentials of Parallel Garbage Collection in SSDs for Enterprise Storage Systems" [ paper ] (acceptance rate: 18%)
(Computer Architecture)
Hao Wang, Jie Zhang, Gieseo Park, Sharmila Shridhar, Myoungsoo Jung, Nam Sung Kim, "DUANG: Fast and Lightweight Page Migration in Asymmetric Memory Systems" (acceptance rate: 22%) [ paper ] [ slides ]
(Distributed Computing)
Jie Zhang, David Donofrio, John Shalf, Mahmut Kandemir and Myoungsoo Jung, “NVMMU: A Non-Volatile Memory Management Unit for Heterogeneous GPU-SSD Architectures", (acceptance rate: 21%) [ paper ] [ slides ]
(Computer Architecture)
Myoungsoo Jung, Wonil Choi, Shekhar Srikantaiah, Joonhyuk Yoo, Mahmut Kandemir, "HIOS: A Host Interface I/O Scheduler for Solid State Disks" (acceptance rate: 17%) [ ieee ]
(Computer Architecture)
Myoungsoo Jung, Mahmut Kandemir, "Sprinkler: Maximizing Resource Utilization in Many-Chip Solid State Disks" (acceptance rate: 25%) [ paper ] [ slides ]
(Operating Systems)
Myoungsoo Jung, Wonil Choi, John Shalf, Mahmut Kandemir, "Triple-A: A Non-SSD Based Autonomic All-Flash Array for Scalable High Performance Computing Storage Systems" (acceptance rate: 22%) [ paper ] [ slides ]
(Operating Systems)
Myoungsoo Jung, Mahmut Kandemir, "Revisiting Widely-held Expectations of SSD and Rethinking Implications for Systems" (acceptance rate: 13%) [ paper ] [ slides ]
(Distributed Computing)
Myoungsoo Jung, Ellis Wilson, Wonil Choi, John Shalf, Metin Aktulga, Chao Yang, Erik Saule, Umit V. Catalyurek, Mahmut Kandemir, "Exploring the Future of Out-Of-Core Computing with Compute-Local Non-Volatile Memory" (acceptance rate: 20%) [ paper ] [ slides ]
(Computer Architecture)
Myoungsoo Jung, Ellis Herbert Wilson III, Mahmut Kandemir, “Physically Addressed Queueing (PAQ): Improving Parallelism in Solid State Disks" (acceptance rate: 17%) [ paper ]

The full paper list is here


  • SimpleSSD -- Open-Source Licenced Educational SSD Simulatior for High-Performance Storage and Full-System Evaluations
  • OpenNVM -- An Open-Sourced FPGA-based NVM Controller for Low Level Memory Characterization
  • Open Storage Trace -- Storage Traces Extracted CAMEL owned Mini-Supercomputing, All-Flash Array, and Parallel Systems
  • NANDFlashSim -- A cycle-accurate and hardware-validated NAND flash simulation model

The full list of our tools is here


  • Award of Excellence, RNN-based Machine Learning Methods in an SSD for Efficient Data Reduction and Compression, SK Semiconductor Innovation, 2018
  • Award of Excellence, Introducing a Hybrid Non-Volatile Memory Systems for High Performance GPGPU-based Graph Processing, SK Semiconductor Innovation, 2018
  • U.S. LBNL/DOE, Design and Implementation of FPGA-based Non-Volatile Memory Controllers, DE-AC02-05CH 11231, 2017.
  • National Research Foundation, 5 Years Young Researcher Career Program, R1C1B2015312, 2016 (Single PI).
  • U.S. National Science Foundation, CNS Core Programs Award, CNS-1422923, 2014 (Single PI).
  • U.S. Department of Energy and Lawrence Berkeley National Laboratory, CoDEx Award, DE-AC02-05CH1123, 2014.
  • Award of Excellence, Lawrence Berkeley National Laboratory, Computer Sciences Summer Student Program, 2012.

The full award list is here


The full service list is here