• Boram Jung, Yuliang Li and Hung-Wei Tseng. NSHEDB: Noise-Sensitive Homomorphic Encrypted Database Query Engine. In the 2026 ACM SIGMOD/PODS International Conference on Management of Data, SIGMOD 2026. [GitHub]
• Hongrui Zhang, Yunan Zhang and Hung-Wei Tseng. RTSpMSpM: Harnessing Ray Tracing for Efficient Sparse Matrix Computations. In Proceedings of the 52nd Annual International Symposium on Computer Architecture , ISCA 2025. [GitHub] [Micro TopPicks Honorable Mentions]
• Yunan Zhang, Po-An Tsai and Hung-Wei Tseng. Sparsepipe: Sparse Inter-operator Dataflow Architecture with Cross-Iteration Reuse. In the 57th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2024.
• Dongho Ha, Lufei Liu, Yuan Hsi Chou, Seokjin Go, Won Woo Ro, Hung-Wei Tseng, and Tor M. Aamodt. Generalizing Ray Tracing Accelerators for Tree Traversals on GPUs. In the 57th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2024.
• Dongho Ha, Yunan Zhang, Chen-Chien Kao, Woo Woo Ro, Christopher Hughes, Hung-Wei Tseng. M^3XU: Achieving High-Precision and Complex Matrix Multiplication with Low-Precision MXUs. In International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 2024.
• Kuan-Chieh Hsu and Hung-Wei Tseng. Simultaneous and Heterogenous Multithreading: Exploiting Simultaneous and Heterogeneous Parallelism in Accelerator-Rich Architectures. In IEEE Micro (Micro Toppicks from Computer Architecture Conferences), 2024. [Micro TopPicks]
• Kuan-Chieh Hsu and Hung-Wei Tseng. Simultaneous and Heterogeneous Multithreading. In the 56th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2023. [GitHub]
• Dongho Ha, Woo Won Ro, Hung-Wei Tseng. TensorCV: Accelerating Inference-Adjacent Computation Using Tensor Processors. In 2023 ACM/IEEE International Symposium on Low Power Electronics and Design, ISLPED 2023, 2023. [GitHub]
• Yu-Chia Liu, Kuan-Chieh Hsu and Hung-Wei Tseng. Rethinking Programming Frameworks for In-Storage Processing. In 60th Design Automation Conference, DAC 2023, 2023.
• Yunan Zhang, Po-An Tsai and Hung-Wei Tseng. SIMD^2: A Generalized Matrix Instruction Set for Accelerating Tensor Computation beyond GEMM. In 49th International Symposium on Computer Archi- tecture, ISCA 2022, 2022. [arXiv] [GitHub]
• Yu-Ching Hu, Yuliang Li and Hung-Wei Tseng. TCUDB: Accelerating Database with Tensor Processors. In the 2022 ACM SIGMOD/PODS International Conference on Management of Data, SIGMOD 2022, 2022. [arXiv] [GitHub]
• Kuan-Chieh Hsu and Hung-Wei Tseng. Accelerating Applications using Edge Tensor Processing Units. In The International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2021. [arXiv] [GitHub]
• Yu-Chia Liu and Hung-Wei Tseng, NDS: N-Dimensional Storage. In the 54th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2021. [GitHub] [Best Paper Nominee]
• Alec Rohloff, Zackary Allen, Kung-Min Lin, Joshua Okrend, Chengyi Nie, Yu-Chia Liu, and Hung-Wei Tseng. OpenUVR: an Open-Source System Framework for Untethered Virtual Reality Applications. In 27th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2021. [Outstanding Paper Award]. [Github]
• Jinyoung Choi, Sergey Blagodurov and Hung-Wei Tseng. Dancing in the Dark: Profiling in the Age of Tiered Memory. In 35th IEEE International Parallel & Distributed Processing Symposium, 2021.[Github]
• Abenezer Wudenhe and Hung-Wei Tseng. TPUPoint: Automatically Characterizing Hardware Accelerated Data Center Machine Learning Program Behavior. In the 2021 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2021). 2021.[Github]
• Yu-Ching Hu, Murtuza Lokhandwala, Te I and Hung-Wei Tseng. Varifocal Storage: Dynamic Multi-Resolution Data Storage. In IEEE Micro (Micro Toppicks from Computer Architecture Conferences), 2020. [Micro TopPicks]
• Yu-Ching Hu, Murtuza Lokhandwala, Te I and Hung-Wei Tseng. Dynamic Multi-Resolution Data Storage. In the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2019. [Best Paper Honorable Mention]
• Kiran Kumar Matam, Gunjae Koo, Haipeng Zha, Hung-Wei Tseng and Murali Anavarum. GraphSSD: Graph Semantics Aware SSD. In the 46th International Symposium on Computer Architecture, ISCA 2019.
• Te I, Murtuza Lokhandwala, Yu-Ching Hu, and Hung-Wei Tseng. Pensieve: a Machine Learning Assisted SSD Layer for Extending the Lifetime. In IEEE International Conference on Computer Design (ICCD 2018). October, 2018.
• Hung-Wei Tseng, Qianchen Zhao, Yuxiao Zhou, Mark Gahagan and Steven Swanson. Morpheus: Exploring the Potential of Near-Data Processing for Creating Application Objects in Heterogeneous Computing. SIGOPS Operating Systems Review, volume 51(2):71 — 83, August 2018.
• Gunjae Koo, Kiran Kumar Matam, Te I, Hema Venkata Krishna Giri Narra, Jing Li, Steven Swanson, Murali Annavaram, and Hung-Wei Tseng. Summarizer: Trading Bandwidth with Computing Near Storage. In 50th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2017
• Yanqin Jin, Hung-Wei Tseng, Steven Swanson and Yannis Papakonstantinou. KAML: A Flexible, High-Performance Key-Value SSD. In 23rd International Symposium on High Performance Computer Architecture (HPCA 2017). February 2017.
• Jing Li, Hung-Wei Tseng, Chunbin Lin, Steven Swanson, and Yannis Papakonstantinou. HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics. Proceedings of VLDB Endowment, Volume 9(14), 2016.
• Yang Liu, Hung-Wei Tseng, Mark Gahagan, Jing Li, Yanqin Jin and Steven Swanson. Hippogriff: Efficiently Moving Data in Heterogeneous Computing Systems. In 34th IEEE International Conference on Computer Design (ICCD 2016). Oct. 2016.
• Yang Liu, Hung-Wei Tseng and Steven Swanson. SPMario: Scale Up MapReduce with I/O-Oriented Scheduling for the GPU. In 34th IEEE International Conference on Computer Design (ICCD 2016). Oct. 2016.