Publications

* I am the corresponding author of the underlined papers. This means that I am responsible for the main contribution of those papers (other primary/corresponding authors are also underlined).

2025

• PIM-CARE: A Compiler-Assisted Dynamic Resource Allocation Framework for Real-world DRAM PIM
  I. Hwang, D. Kim, S. Kang, T. Park, T. Kim, J. Seo, H. Kim, Y. Kim, Y. Park
  In Proceedings of the ACM International Conference on Supercomputing (ICS), 2025

2024

• ExeGPT: Constraint-Aware Resource Scheduling for LLM Inference
  Hyungjun Oh, Kihong Kim, Jaemin Kim, Sungkyun Kim, Du-seong Chang, and Jiwon Seo*
  In Proceedings of the Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2024

• Discovering Efficient Fused Layer Configurations for Executing Multi-Workloads on Multi-core NPUs
  Younghyun Lee, Hyejun Kim, Yongseung Yu, Myeongjin Cho, Jiwon Seo, and Yongjun Park
  In Proceedings of Design Automation and Test in Europe (DATE), 2024

2023

• ISP Agent: A Generalized In-Storage-Processing Workload Offloading Framework by Providing Multiple Optimization Opportunities
  Seokwon Kang, Jongbin Kim, Gyeongyong Lee, Jeongmyung Lee, Jiwon Seo, Hyungsoo Jung, Yongho Song, and Yongjun Park
  ACM Transactions on Architecture and Code Optimization (TACO), 2023

• Tailoring Tiling-based GEMM Performance using Supervised Learning
  Yongseung Yu, Donghyun Son, Younghyun Lee, Sunghyun Park, Giha Ryu, Myeongjin Cho, Jiwon Seo*, and Yongjun Park
  In Proceedings of IEEE International Conference on Computer Design (ICCD), 2023

• X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents

    Mehrad Moradshahi, Tianhao Shen, Kalika Bali, Monojit Choudhury, Gael de Chalendar, Anmol Goel, Sungkyun Kim, Prashant Kodali, Ponnurangam Kumaraguru, Nasredine Semmar, Sina Semnani, Jiwon Seo, Vivek Seshadri, Manish Shrivastava, Michael Sun, Aditya Yadavalli, Chaobin You, Deyi Xiong, Monica Lam

    Association for Computational Linguistics (ACL Findings), 2023

• SAGE: A System for Uncertain Network Analysis
  Eunjae Lee, Sam H. Noh, and Jiwon Seo*
  In Proceedings of the International Conference on Very Large Data Bases (VLDB), 2022-2023

• Testing the Channels of Convolutional Neural Networks
  Kang Choi, Donghyun Son, Younghoon Kim, and Jiwon Seo*
  In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023

2022

• RAMP: response-aware multi-task learning with contrastive regularization for cancer drug response prediction

Kanggeun Lee, Dongbin Cho, Jinho Jang, Kang Choi, Hyoung-oh Jeong, Jiwon Seo*, Won-Ki Jeong, Semin Lee

Briefings in Bioinformatics, 2022

• BWA-MEM-SCALE: Accelerating Genome Sequence Mapping on Commodity Servers
  Changdae Kim, Kwangwon Koh, Taehoon Kim, Daegyu Han, and Jiwon Seo*
  In Proceedings of the International Conference on Parallel Processing (ICPP), 2022 (received best paper award)

• Out-Of-Order BackProp: An Effective Scheduling Technique for Deep Learning
  Hyungjun Oh, Junyeol Lee, Hyeongju Kim, and Jiwon Seo*
  In Proceedings of the European Conference on Computer Systems (EuroSys), 2022 

• Gyro Dropout: Maximizing Ensemble Effect in Neural Network Training
  Junyeol Lee, Hyeongju Kim, Hyungjun Oh, Jaemin Kim, Hongseok Jeung, Yung-Kyun Noh, and Jiwon Seo*
  In Proceedings of the Fifth Conference on Machine Learning and Systems (MLSys), 2022

2021

• iTurboGraph: Scaling and Automating Incremental Graph Analytics
  Seongyun Ko, Taesung Lee, Kijae Hong, Wonseok Lee, In Seo, Jiwon Seo, and Wook-Shin Han
  In Proceedings of the International Conference on Management of Data (SIGMOD), 2021

• An In-Depth Analysis of Distributed Training of Deep Neural Networks
  Yunyong Ko, Kibong Choi, Jiwon Seo*, and Sang-Wook Kim
  In Proceedings of IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2021

2020

• Convergence-Aware Neural Network Training
  Hyungjun Oh, Yongseung Yu, Giha Ryu, Gunjoo Ahn, Yuri Jeong, Yongjun Park, and Jiwon Seo*
  In Proceedings of the Design Automation Conference (DAC), 2020 

• AniFilter: Parallel and Failure-Atomic Cuckoo Filter for Non-Volatile Memories
  Hyungjun Oh, Bongki Cho, Changdae Kim, Heejin Park, and Jiwon Seo*
  In Proceedings of the European Conference on Computer Systems (EuroSys), 2020

• Robust Quantization of Deep Neural Networks
  Youngseok Kim, Junyeol Lee, Younghoon Kim, and Jiwon Seo*
  In Proceedings of the International Conference on Compiler Construction (CC), 2020 

• B3-Tree: Byte-Addressable Binary B-Tree for Persistent Memory
  Hokeun Cha , Moohyeon  Nam, Kibeom  Jin, Jiwon  Seo, and Beomseok  Nam
  ACM Transactions on Storage, 2020

• Detection of Rapidly Spreading Hashtags via Social Networks
  Younghoon Kim and Jiwon Seo
  IEEE Access, 2020

2019 

• Pre-Select Static Caching and Neighborhood Orderingfor BFS-like Algorithms on Disk-based Graph Engines
  Eunjae Lee, Junghyun Kim, Keunhak Lim, Sam H. Noh, and Jiwon Seo*
  In Proceedings of the 2019 USENIX Annual Technical Conference (USENIX ATC), 2019

• DASH: Database Shadowing for Mobile DBMS
  Youjip Won,  Sundoo Kim, Juseong Yun, Dam Quang Tuan, and Jiwon Seo
  In Proceedings of the International Conference on Very Large Data Bases (VLDB), 2019

2018 or before 

• Improving Parallel Performance of Graph Algorithms on Graph Processing Systems
  Keunhak Lim, Junghyun Kim and Jiwon Seo*
  In Symposium on Operating Systems Principles (Poster), Oct 2017

• Identifying Anomalies and Fraud in Medicare-B Dataset
  Jiwon Seo* and Offer Mendelevitch
  In IEEE Engineering in Medicine and Biology Society, July 2017

• ThingTalk: A Distributed Language for a Social Internet of Things
  Giovanni Campagna, Jiwon Seo, Michael Fischer and Monica S. Lam
  Work in progress 

• SociaLite: An Efficient Graph Query Language Based on Datalog
  Jiwon Seo, Stephen Guo, and Monica S. Lam
  In IEEE Transactions on Knowledge and Data Engineering, February 2015. 

• Distributed SociaLite: A Datalog-based Language for Large-Scale Graph Analysis
  Jiwon Seo, Jongsoo Park, Jaeho Shin, and Monica S. Lam
  In Proceedings of the 39th International Conference on Very Large Data Bases,
  Hangzhou, China, September 2014. 

• Navigating the Maze of Graph Analytics Frameworks using Massive Graph Datasets 

• Nadathur Satish, Narayanan Sundaram, Mostofa Patwary, Jiwon Seo, Jongsoo Park, Muhammad Hassaan, Shubho Sengupta, Zhaoming Yin, Pradeep Dubey
  In Proceedings of the ACM SIGMOD International Conference on Management of Data,
  Snowbird, Utah, USA, June 2014. 

• SociaLite: Datalog Extensions for Efficient Social Network Analysis
  Jiwon Seo, Stephen Guo, and Monica S. Lam
  In Proceedings of the 29th IEEE International Conference on Data Engineering,
  Brisbane, Australia, April 2013. 

• PrPl: a Decentralized Social Networking Infrastructure
  Seok-Won Seong, Jiwon Seo, Matthew Nasielski, Debangsu Sengupta, Sudheendra Hangal, Seng Keat Teh, Ruven Chu, Ben Dodson, and Monica S. Lam
  In Proceedings of the 1st International Workshop on Mobile Cloud Computing & Services: Social Networks and Beyond
  (Invited Paper) Held in conjunction with Mobisys 2010, San Francisco, June 2010. 

• InvisiType: Object-Oriented Security Policies
  Jiwon Seo and Monica S. Lam
  In Proceedings of the 17th Annual Network and Distributed System Security Symposium,
  San Diego, February 2010. 

• ASeD: Availability, Security, and Debugging Support using Transactional Memory

JaeWoong Chung, Woongki Baek, Nathan G.Bronson, Jiwon Seo, Christos Kozyrakis, and Kunle Olukotun
In the Proceedings of the 20th ACM Symposium on Parallelism Architectures and Algorithms (SPAA), Jun. 2008 (Poster).

• Improving Software Concurrency with Hardware-assisted Memory Snapshot

JaeWoong Chung, Jiwon Seo, Woongki Baek, Chi Cao Minh, Austen McDonald, Christos Kozyrakis, and Kunle Olukotun
In the Proceedings of the 20th ACM Symposium on Parallelism Architectures and Algorithms (SPAA), Jun. 2008 (Poster).