Sang-Woo Jun
Assistant Professor, Department of Computer Science
Biography
Sang-Woo Jun, Ph.D., is an Assistant Professor in the Department of Computer Science at the University of California, Irvine. He received his Ph.D. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology in 2018, where his dissertation focused on big data analytics using hardware-accelerated flash storage. His research centers on application-specific hardware acceleration using FPGAs and flash storage systems, with particular emphasis on out-of-core analytic systems and distributed flash storage with in-storage accelerators.
Jun's work on external graph analytics using accelerated flash storage was selected for the ISCA@50 25-Year Retrospective, recognizing it as one of approximately 100 of the most memorable papers from the past 25 years of the International Symposium on Computer Architecture. He received the Stamatis Vassiliadis Memorial Award for the most outstanding paper in Architecture and Applications at FPL'21. His research has been supported by the National Science Foundation, Samsung Electronics, Silicon Research Corporation, and VMWare, with funding totaling over $2.5 million as principal investigator.
Jun has published over 30 peer-reviewed conference papers at venues including ISCA, MICRO, VLDB, and FCCM, along with journal articles in ACM Transactions on Computer Systems and ACM Transactions on Reconfigurable Technology and Systems. He serves on program committees for ACM/IEEE ISCA, IEEE HPCA, ACM/SIGDA FPGA, and IEEE/ACM MICRO, among others. Prior to his academic career, Jun worked as a software engineer at Nexon Inc. and held internships at Oracle, EMC, and Quanta Computers.
Return to topEducation
- Ph.D. in Electrical Engineering & Computer Science, Massachusetts Institute of Technology, 2018
- B.S. in Computer Science and Engineering, Seoul National University, 2010
Distinctions
- ISCA@50 25-Year retrospective selection, 2023
- FPL'21 Stamatis Vassiliadis Best Paper Award, 2021
Areas of Expertise
- Hardware-Accelerated Computing Systems
- FPGA-Based Application Acceleration
- Flash Storage Architecture
- Out-of-Core Analytics
- Near-Storage Processing
- Graph Neural Network Training
- Wildfire Detection Neural Networks
Recent Publications
- Se-Min Lim, Seongyoung Kang, Sang-Woo Jun, “Bancroft: Genomics Acceleration Beyond On-Device Memory” (opens in new tab), Parallel Architectures and Compilation Techniques Conference Proceedings Pact, pp. 306-319, 2025. Presented at International Conference on Parallel Architectures and Compilation Techniques (PACT).
- Gongjin Sun, Seongyoung Kang, Jane He, Se-Min Lim, Sang-Woo Jun, “Labidus: RISC-V Overlay with Streaming Asynchronous Custom Instructions” (opens in new tab), Proceedings of the International Conference on Application Specific Systems Architectures and Processors, pp. 57-64, 2025. Presented at Application-specific Systems, Architectures and Processors (ASAP).
- Jaewon Park, Quang Anh Hoang, Jonathan Ta, Shin-Haeng Kang, Kyomin Sohn, Sang-Woo Jun, “MAPLE: Flexible-Precision Processing-In-Memory Architecture for Efficient On-Device ML” (opens in new tab), Proceedings of the ACM Great Lakes Symposium on VLSI Glsvlsi, pp. 192-199, 2025. Presented at Great Lakes Symposium on VLSI (GLSVLSI).
- Alexandra Zhang Jiang, Jonathan Ta, Yuqiao Li, Zhou Li, Nalini Venkatasubramanian, Monica D. Kohler, Sang-Woo Jun, “IceSpy: Reconfigurable Edge Accelerator for Scalable and Private Structural Health Monitoring” (opens in new tab), Proceedings 2025 IEEE 33rd Annual International Symposium on Field Programmable Custom Computing Machines Fccm 2025, pp. 198-207, 2025. Presented at Field-Programmable Custom Computing Machines (FCCM).
- Ta J., Pizarro G., Tavares E., Li Y., Kohler M., Venkatasubramanian N., Jun S.-W., “Identifying and Locating Earthquake-Induced Damage in a High-Rise Using Neural Operators” (opens in new tab), Structural Health Monitoring 2025 Ensuring Mobility and Autonomy with Sustainability Proceedings of the 15th International Workshop on Structural Health Monitoring Iwshm 2025, pp. 2165-2172, 2025.
- Se-Min Lim, Esmerald Aliaj, Sang-Woo Jun, “Durin: CPU-FPGA Heterogeneous Platform for Scalable Low-Dimensional Data Clustering” (opens in new tab), Proceedings 2024 IEEE International Conference on Big Data Bigdata 2024, pp. 344-351, 2024. Presented at 2024 IEEE International Conference on Big Data (BigData).
- Se-Min Lim, Esmerald Aliaj, Sang-Woo Jun, “Morbius: Platform-Adaptive Hardware Accelerator for Scalable Sequence Motif Discovery” (opens in new tab), Proceedings 2024 IEEE 20th International Conference on E Science E Science 2024, 2024. Presented at 2024 IEEE 20th International Conference on e-Science (e-Science).
- Jeffrey Chen, Jonathan Ta, Aditi Mundra, Sang-Woo Jun, “Xyloni: Very Low Power Neural Network Accelerator for Intermittent Remote Visual Detection of Wildfire and Beyond” (opens in new tab), Proceedings of the 29th International Symposium on Low Power Electronics and Design Islped 2024, 2024. Presented at IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED).
- Seongyoung Kang, Sang-Woo Jun, “Sting: Near-storage accelerator framework for scalable triangle counting and beyond” (opens in new tab), Proceedings Design Automation Conference, 2024. Presented at 61st ACM/IEEE Design Automation Conference (DAC).
- Se-Min Lim, Sang-Woo Jun, “FlexForge: Efficient Reconfigurable Cloud Acceleration via Peripheral Resource Disaggregation”, Proceedings Design Automation and Test in Europe Date, 2024. Presented at Design, Automation & Test in Europe Conference & Exhibition (DATE).
- Esmerald Aliaj, Alberto Krone Martins, Sang-Woo Jun, “BMoss: Reconfigurable Hardware Accelerator for Scalable Plagiarism Detection” (opens in new tab), Apsys 2024 Proceedings of the 15th ACM Sigops Asia Pacific Workshop on Systems, pp. 102-107, 2024. Presented at 15th ACM SIGOPS Asia-Pacific Workshop on Systems (ApSys).
- Chen J., Jun S.-W., Hong S., He W., Moon J., “Eciton: Very Low-power Recurrent Neural Network Accelerator for Real-time Inference at the Edge” (opens in new tab), ACM Transactions on Reconfigurable Technology and Systems, vol. 17, 2024.
- Pinge S., Xu W., Bittremieux W., Moshiri N., Jun S.-W., Rosing T., “RapidOMS: FPGA-based Open Modification Spectral Library Searching with HD Computing” (opens in new tab), 2024 IEEE Biomedical Circuits and Systems Conference Biocas 2024, 2024.
- Jiyoung An, Esmerald Aliaj, Sang-Woo Jun, “Barad-dur: Near-Storage Accelerator for Training Large Graph Neural Networks” (opens in new tab), Parallel Architectures and Compilation Techniques Conference Proceedings Pact, pp. 225-237, 2023. Presented at 32nd International Conference on Parallel Architectures and Compilation Techniques (PACT).
- Jeffrey Chen, Sang-Woo Jun, “Myrmec: FPGA-Accelerated SmartNIC for Cost and Power Efficient IoT Sensor Networks” (opens in new tab), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, vol. 14385 LNCS, pp. 57-71, 2023. Presented at International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS).
- Jiyoung An, Esmerald Aliaj, Sang-Woo Jun, “PreCog: Near-Storage Accelerator for Heterogeneous CNN Inference” (opens in new tab), Proceedings of the International Conference on Application Specific Systems Architectures and Processors, vol. 2023-July, pp. 45-52, 2023. Presented at Application-specific Systems, Architectures and Processors (ASAP).
- Esmerald Aliaj, Alberto Krone-Martins, Joshua Garcia, Sang-Woo Jun, “FarSlayer: Turnkey Acceleration of Legacy Software on Commodity FPGA Cards” (opens in new tab), Proceedings of the International Conference on Application Specific Systems Architectures and Processors, vol. 2023-July, pp. 172-179, 2023. Presented at Application-specific Systems, Architectures and Processors (ASAP).
- Sang-Woo Jun, Andy Wright, Sizhuo Zhang, Shuotao Xu, Arvind, “RETROSPECTIVE: GraFboost: using accelerated flash storage for external graph analytics”, ISCA@50 25-Year Retrospective: 1996-2020, 2023.
- Seongyoung Kang, Sang-Woo Jun, “Near-Storage Accelerator for Bulk Graph Ingestion” (opens in new tab), 2023 IEEE International Parallel and Distributed Processing Symposium Workshops Ipdpsw 2023, pp. 101-104, 2023. Presented at Reconfigurable Architectures Workshop (RAW).
- Seongyoung Kang, Tarun Sai Ganesh Nerella, Shashank Uppoor, Sang-Woo Jun, “BunchBloomer: Cost-Effective Bloom Filter Accelerator for Genomics Applications” (opens in new tab), Proceedings 2022 32nd International Conference on Field Programmable Logic and Applications Fpl 2022, pp. 9-16, 2022. Presented at Field-Programmable Logic and Applications (FPL).
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Last updated on 5/14/2026.