Jinkwon Kim
Jinkwon Kim
Embedded Files
Postdoctoral Associate
School of Electrical and Computer Engineering
As a Postdoctoral Associate at Cornell University, I am currently researching Memory Systems and Processing-in-Memory (PIM) architectures, with a focus on their integration into AI workloads. Previously, as a hardware researcher at SK Hynix, I investigated LLM system trends and designed PIM subsystems, particularly the memory controller. During my Ph.D., my primary interest was cross-layer optimizations for efficient compression-based systems. Due to the exponential growth of data utilized and generated by key workloads (e.g., scientific computing, machine learning, and graph analytics), compression-based systems have become indispensable in various hardware components. I optimized multiple compression-based systems through cross-layer optimizations. (e.g., sparse tensor accelerator [MICRO'23], main memory [HPCA’22], DNN [DATE’22, TC'23], CPU ISA [TC’21], and SSD [TC’22]). The PDF version of CV is available at the link.
Phone: +82-10-2754-9153 / +1-607-592-8308
EMPLOYMENT
EMPLOYMENT
Postdoctoral Associate, Cornell University, Oct. 2025- Current
Advisor: Mohammad Alian
SK Hynix, Processing-In-Memory Hardware Researcher Feb. 2024 - Oct. 2025
Education
Education
Integrated M.S. and Ph.D. in School of Computing, KAIST, Mar. 2017 - Feb. 2024 (Expect)
Advisor: Soontae Kim
Bachelor, Double Majors in Industrial Engineering and Computer Science and Engineering, Mar. 2012 - Aug. 2016
Publications
Publications
[MICRO, Top-tier] Derrick Quinn, Ezgi Yücel, Jinkwon Kim, José Martínez, Mohammad Alian, “LongSight: Compute-Enabled Memory to Accelerate Large-Context LLMs via Sparse Attention”, IEEE/ACM International Symposium on Microarchitecture (MICRO), 2025.
[ISCA, Top-tier] Gwangeun Byeon, Seongwook Kim, Hyungjin Kim, Sukhyun Han, Jinkwon Kim, Prashant Nair, Taewook Kang, Seokin Hong, “Avalanche: Optimizing Cache Utilization via Matrix Reordering for Sparse Matrix Multiplication Accelerator”, International Symposium on Computer Architecture (ISCA), 2025.
[Hotchips] Guhyun Kim, Jinkwon Kim, et al., “SK Hynix AI-Specific Computing Memory Solution: From AiM device to Heterogeneous AiMX-xPU System for Comprehensive LLM Inference”, HotChips, Aug 2024.
[MICRO, Top-tier] Jinkwon Kim, Myeongjae Jang, Haejin Nam, and Soontae Kim, “HARP: Hardware-Based Pseudo-Tiling for Sparse Matrix Multiplication Accelerator”, IEEE/ACM International Symposium on Microarchitecture (MICRO), 2023.
[TC, SCI] Myeongjae Jang, Jinkwon Kim, Haejin Nam, and Soontae Kim, “Zero and Narrow-width Value-aware Compression for Quantized Convolutional Neural Networks”, IEEE Transactions on Computers (TC)
[TC, SCI] Mincheol Kang, Wonyoung Lee, Jinkwon Kim, and Soontae Kim, “PR-SSD: Maximizing Partial Read Potential by Exploiting Compression and Channel-Level Parallelism”, IEEE Transactions on Computers (TC), Vol.72, No.3, pp.772-785, May 2022.
[DATE, Major] Myeongjae Jang, Jinkwon Kim, Jesung Kim, and Soontae Kim, “ENCORE Compression: Exploiting Narrow-width Values for Quantized Deep Neural Networks”, Design, Automation, and Test in Europe (DATE), Antwerp, Belgium, Mar 2022.
[HPCA, Top-tier] Jinkwon Kim, Mincheol Kang, Jeongkyu Hong, and Soontae Kim, “Exploiting Inter-block Entropy to Enhance the Compressibility of Blocks with Diverse Data”, IEEE International Symposium on High-Performance Computer Architecture (HPCA), Seoul, South Korea, Apr 2022. [Conference Slide (PPT/Short)] [Dissertation Proposal Slide (PPT/Long)]
[TC, SCI] Jinkwon Kim, Seokin Hong, Jeongkyu Hong, and Soontae Kim, “CID: Co-Architecting Instruction Cache and Decompression System for Embedded Systems”, IEEE Transactions on Computers (TC), Vol.70, No.7, pp.1132-1145, Jul 2021.
Skills
Skills
Programming: C/C++, Python, System Verilog
Architecture Simulators and Tools: Gem5, ZSim, SST, Pin, Synopsys Design Compiler, Ramulator, DRAMSim2, DRAMPower, McPAT, CACTI
System Software: Linux, Warewulf HPC Cluster, QEMU
FPGA: Vivado, Vitis
Machine Learning Frameworks: PyTorch
Awards & Scholarships
Awards & Scholarships
National Scholarship, KAIST 2017 - present
Summa Cum Laude, Hanyang University 2016
Teaching Experiences
Teaching Experiences
Teaching Assistant for Digital System and Lab, KAIST Spring 2020
Teaching Assistant for Computer Architecture, KAIST Spring 2019
Teaching Assistant for Computer Organization, KAIST Fall 2018
Teaching Assistant for Computer Organization, KAIST Spring 2018
Teaching Assistant for Computer Organization, KAIST Fall 2018
Page updated
Google Sites
Report abuse