Po-An Tsai - RankMe

41 papers A* 15B 4C 1Journal 14Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	EMPIRIC: Exploring Missing Pieces in KV Cache Compression for Reducing Computation, Storage, and Latency in Long-Context LLM Inference. ACM SIGOPS Oper. Syst. Rev. Payman Behnam, Yaosheng Fu, Ritchie Zhao, Po-An Tsai, Zhiding Yu, Alexey Tumanov
2025	—	`conf`	Enabling Unstructured Sparse Acceleration on Structured Sparse Accelerators. MLSys Geonhwa Jeong, Po-An Tsai, Abhimanyu Rajeshkumar Bambhaniya, Stephen W. Keckler, Tushar Krishna
2025	J	`jnl`	Orders in Chaos: Enhancing Large-Scale MoE LLM Serving with Data Movement Forecasting. CoRR Zhongkai Yu, Yue Guan, Zihao Yu, Chenyang Zhou, Shuyi Pei, Yangwook Kang, Yufei Ding, Po-An Tsai
2025	A*	`conf`	RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression. ICML Payman Behnam, Yaosheng Fu, Ritchie Zhao, Po-An Tsai, Zhiding Yu, Alexey Tumanov
2025	J	`jnl`	RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression. CoRR Payman Behnam, Yaosheng Fu, Ritchie Zhao, Po-An Tsai, Zhiding Yu, Alexey Tumanov
2025	J	`jnl`	Utility-Driven Speculative Decoding for Mixture-of-Experts. CoRR Anish Saxena, Po-An Tsai, Hritvik Taneja, Aamer Jaleel, Moinuddin Qureshi
2024	J	`jnl`	Abstracting Sparse DNN Acceleration via Structured Sparse Tensor Decomposition. CoRR Geonhwa Jeong, Po-An Tsai, Abhimanyu Rajeshkumar Bambhaniya, Stephen W. Keckler, Tushar Krishna
2024	A*	`conf`	Mind the Gap: Attainable Data Movement and Operational Intensity Bounds for Tensor Algorithms. ISCA Qijing Huang, Po-An Tsai, Joel S. Emer, Angshuman Parashar
2024	J	`jnl`	SDQ: Sparse Decomposed Quantization for LLM Inference. CoRR Geonhwa Jeong, Po-An Tsai, Stephen W. Keckler, Tushar Krishna
2024	A*	`conf`	Sparsepipe: Sparse Inter-operator Dataflow Architecture with Cross-Iteration Reuse. MICRO Yunan Zhang, Po-An Tsai, Hung-Wei Tseng
2023	—	`conf`	Accelerating Sparse Data Orchestration via Dynamic Reflexive Tiling (Extended Abstract). HOPC@SPAA 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	—	`conf`	Accelerating Sparse Data Orchestration via Dynamic Reflexive Tiling. ASPLOS (3) 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	A*	`conf`	HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity. MICRO Yannan Nellie Wu, Po-An Tsai, Saurav Muralidharan, Angshuman Parashar, Vivienne Sze, Joel S. Emer
2023	J	`jnl`	HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity. CoRR Yannan Nellie Wu, Po-An Tsai, Saurav Muralidharan, Angshuman Parashar, Vivienne Sze, Joel S. Emer
2023	A*	`conf`	RM-STC: Row-Merge Dataflow Inspired GPU Sparse Tensor Core for Energy-Efficient Sparse Acceleration. MICRO Guyue Huang, Zhengyang Wang, Po-An Tsai, Chen Zhang, Yufei Ding, Yuan Xie
2023	J	`jnl`	Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing. ACM Trans. Comput. Syst. Michael Pellauer, Jason Clemons, Vignesh Balaji, Neal Clayton Crago, Aamer Jaleel, Donghyuk Lee, Mike O'Connor, Anghsuman Parashar, Sean Treichler, Po-An Tsai, Stephen W. Keckler, Joel S. Emer
2022	—	`conf`	Demystifying Map Space Exploration for NPUs. IISWC Sheng-Chun Kao, Angshuman Parashar, Po-An Tsai, Tushar Krishna
2022	J	`jnl`	Demystifying Map Space Exploration for NPUs. CoRR Sheng-Chun Kao, Angshuman Parashar, Po-An Tsai, Tushar Krishna
2022	B	`conf`	Ruby: Improving Hardware Efficiency for Tensor Algebra Accelerators Through Imperfect Factorization. ISPASS Mark Horeni, Pooria Taheri, Po-An Tsai, Angshuman Parashar, Joel S. Emer, Siddharth Joshi
2022	A*	`conf`	SIMD ISCA Yunan Zhang, Po-An Tsai, Hung-Wei Tseng
2022	J	`jnl`	SIMD CoRR Yunan Zhang, Po-An Tsai, Hung-Wei Tseng
2022	A*	`conf`	Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling. MICRO Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel S. Emer
2022	J	`jnl`	Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling. CoRR Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel S. Emer
2021	J	`jnl`	Leaking Secrets Through Compressed Caches. IEEE Micro Po-An Tsai, Andrés Sánchez, Christopher W. Fletcher, Daniel Sánchez
2021	J	`jnl`	Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search. CoRR Kartik Hegde, Po-An Tsai, Sitao Huang, Vikas Chandra, Angshuman Parashar, Christopher W. Fletcher
2021	A*	`conf`	Mind mappings: enabling efficient algorithm-accelerator mapping space search. ASPLOS Kartik Hegde, Po-An Tsai, Sitao Huang, Vikas Chandra, Angshuman Parashar, Christopher W. Fletcher
2021	B	`conf`	Sparseloop: An Analytical, Energy-Focused Design Space Exploration Methodology for Sparse Tensor Accelerators. ISPASS Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel S. Emer
2021	B	`conf`	Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators. PACT Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna
2021	J	`jnl`	Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators. CoRR Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna
2020	A*	`conf`	Safecracker: Leaking Secrets through Compressed Caches. ASPLOS Po-An Tsai, Andrés Sánchez, Christopher W. Fletcher, Daniel Sánchez
2019	A*	`conf`	Compress Objects, Not Cache Lines: An Object-Based Compressed Memory Hierarchy. ASPLOS Po-An Tsai, Daniel Sánchez
2018	A*	`conf`	Adaptive Scheduling for Systems with Asymmetric Memory Hierarchies. MICRO Po-An Tsai, Changping Chen, Daniel Sánchez
2018	A*	`conf`	KPart: A Hybrid Cache Partitioning-Sharing Technique for Commodity Multicores. HPCA Nosayba El-Sayed, Anurag Mukkara, Po-An Tsai, Harshad Kasture, Xiaosong Ma, Daniel Sánchez
2018	A*	`conf`	Rethinking the Memory Hierarchy for Modern Languages. MICRO Po-An Tsai, Yee Ling Gan, Daniel Sánchez
2017	A*	`conf`	Jenga: Software-Defined Cache Hierarchies. ISCA Po-An Tsai, Nathan Beckmann, Daniel Sánchez
2017	B	`conf`	Nexus: A New Approach to Replication in Distributed Shared Caches. PACT Po-An Tsai, Nathan Beckmann, Daniel Sánchez
2016	—	`conf`	Uncertainty and Mental Workload Among Wayfinding Strategies. HCI (9) Yi Chia Chien, Po-An Tsai, Yu Ting Lin, Ssu Min Wu, Kuan Ting Chen, Yu Ting Han, T. K. Philip Hwang
2015	C	`conf`	Feature space optimization of multispectral imagery and LiDAR waveform data. IGARSS Yu-Ching Lin, Po-An Tsai, Chun-Lin Lin, Kuan-Tsung Chang, Ming-Da Tsai
2015	A*	`conf`	Scaling distributed cache hierarchies through computation and data co-scheduling. HPCA Nathan Beckmann, Po-An Tsai, Daniel Sánchez
2013	—	`conf`	Hybrid path-diversity-aware adaptive routing with latency prediction model in Network-on-Chip systems. VLSI-DAT Po-An Tsai, Yu-Hsin Kuo, En-Jui Chang, Hsien-Kai Hsin, An-Yeu Wu
2012	—	`conf`	Path-Diversity-Aware Adaptive Routing in Network-on-Chip Systems. MCSoC Yu-Hsin Kuo, Po-An Tsai, Hao-Ping Ho, En-Jui Chang, Hsien-Kai Hsin, An-Yeu Andy Wu