| 2026 | ISCA | Patterns Behind Chaos: Forecasting Data Movement for Efficient Large-Scale Moe LLM Inference. | Zhongkai Yu, Yue Guan, Zihao Yu, Chenyang Zhou, Zhengding Hu, Shuyi Pei, Yangwook Kang, Yufei Ding, Po-An Tsai |
| 2025 | ICML | RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression. | Payman Behnam, Yaosheng Fu, Ritchie Zhao, Po-An Tsai, Zhiding Yu, Alexey Tumanov |
| 2024 | ISCA | Mind the Gap: Attainable Data Movement and Operational Intensity Bounds for Tensor Algorithms. | Qijing Huang, Po-An Tsai, Joel S. Emer, Angshuman Parashar |
| 2024 | MICRO | Sparsepipe: Sparse Inter-operator Dataflow Architecture with Cross-Iteration Reuse. | Yunan Zhang, Po-An Tsai, Hung-Wei Tseng |
| 2023 | ASPLOS | Accelerating Sparse Data Orchestration via Dynamic Reflexive Tiling. | Toluwanimi O. Odemuyiwa, Hadi Asghari Moghaddam, Michael Pellauer, Kartik Hegde, Po-An Tsai, Neal Clayton Crago, Aamer Jaleel, John D. Owens, Edgar Solomonik, Joel S. Emer, Christopher W. Fletcher |
| 2023 | MICRO | RM-STC: Row-Merge Dataflow Inspired GPU Sparse Tensor Core for Energy-Efficient Sparse Acceleration. | Guyue Huang, Zhengyang Wang, Po-An Tsai, Chen Zhang, Yufei Ding, Yuan Xie |
| 2023 | MICRO | HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity. | Yannan Nellie Wu, Po-An Tsai, Saurav Muralidharan, Angshuman Parashar, Vivienne Sze, Joel S. Emer |
| 2022 | ISCA | SIMD | Yunan Zhang, Po-An Tsai, Hung-Wei Tseng |
| 2022 | ISPASS | Ruby: Improving Hardware Efficiency for Tensor Algebra Accelerators Through Imperfect Factorization. | Mark Horeni, Pooria Taheri, Po-An Tsai, Angshuman Parashar, Joel S. Emer, Siddharth Joshi |
| 2022 | MICRO | Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling. | Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel S. Emer |
| 2021 | ASPLOS | Mind mappings: enabling efficient algorithm-accelerator mapping space search. | Kartik Hegde, Po-An Tsai, Sitao Huang, Vikas Chandra, Angshuman Parashar, Christopher W. Fletcher |
| 2021 | ISPASS | Sparseloop: An Analytical, Energy-Focused Design Space Exploration Methodology for Sparse Tensor Accelerators. | Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel S. Emer |
| 2020 | ASPLOS | Safecracker: Leaking Secrets through Compressed Caches. | Po-An Tsai, Andrs Snchez, Christopher W. Fletcher, Daniel Snchez |
| 2019 | ASPLOS | Compress Objects, Not Cache Lines: An Object-Based Compressed Memory Hierarchy. | Po-An Tsai, Daniel Snchez |
| 2018 | HPCA | KPart: A Hybrid Cache Partitioning-Sharing Technique for Commodity Multicores. | Nosayba El-Sayed, Anurag Mukkara, Po-An Tsai, Harshad Kasture, Xiaosong Ma, Daniel Snchez |
| 2018 | MICRO | Adaptive Scheduling for Systems with Asymmetric Memory Hierarchies. | Po-An Tsai, Changping Chen, Daniel Snchez |
| 2018 | MICRO | Rethinking the Memory Hierarchy for Modern Languages. | Po-An Tsai, Yee Ling Gan, Daniel Snchez |
| 2017 | ISCA | Jenga: Software-Defined Cache Hierarchies. | Po-An Tsai, Nathan Beckmann, Daniel Snchez |
| 2016 | HCI | Uncertainty and Mental Workload Among Wayfinding Strategies. | Yi Chia Chien, Po-An Tsai, Yu Ting Lin, Ssu Min Wu, Kuan Ting Chen, Yu Ting Han, T. K. Philip Hwang |
| 2015 | HPCA | Scaling distributed cache hierarchies through computation and data co-scheduling. | Nathan Beckmann, Po-An Tsai, Daniel Snchez |
| 2015 | IGARSS | Feature space optimization of multispectral imagery and LiDAR waveform data. | Yu-Ching Lin, Po-An Tsai, Chun-Lin Lin, Kuan-Tsung Chang, Ming-Da Tsai |