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2020 – today
- 2024
[c24]Qijing Huang, Po-An Tsai, Joel S. Emer, Angshuman Parashar:
Mind the Gap: Attainable Data Movement and Operational Intensity Bounds for Tensor Algorithms. ISCA 2024: 150-166- [i8]Geonhwa Jeong, Po-An Tsai, Abhimanyu Rajeshkumar Bambhaniya, Stephen W. Keckler, Tushar Krishna:
Abstracting Sparse DNN Acceleration via Structured Sparse Tensor Decomposition. CoRR abs/2403.07953 (2024) - [i7]Geonhwa Jeong, Po-An Tsai, Stephen W. Keckler, Tushar Krishna:
SDQ: Sparse Decomposed Quantization for LLM Inference. CoRR abs/2406.13868 (2024) - 2023
- [j2]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:
Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing. ACM Trans. Comput. Syst. 41: 4:1-4:30 (2023) - [c23]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:
Accelerating Sparse Data Orchestration via Dynamic Reflexive Tiling. ASPLOS (3) 2023: 18-32 - [c22]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:
Accelerating Sparse Data Orchestration via Dynamic Reflexive Tiling (Extended Abstract). HOPC@SPAA 2023: 15-16 - [c21]Guyue Huang, Zhengyang Wang, Po-An Tsai, Chen Zhang, Yufei Ding, Yuan Xie:
RM-STC: Row-Merge Dataflow Inspired GPU Sparse Tensor Core for Energy-Efficient Sparse Acceleration. MICRO 2023: 338-352 - [c20]Yannan Nellie Wu, Po-An Tsai, Saurav Muralidharan, Angshuman Parashar, Vivienne Sze, Joel S. Emer:
HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity. MICRO 2023: 1106-1120 - [i6]Yannan Nellie Wu, Po-An Tsai, Saurav Muralidharan, Angshuman Parashar, Vivienne Sze, Joel S. Emer:
HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity. CoRR abs/2305.12718 (2023) - 2022
- [c19]Sheng-Chun Kao, Angshuman Parashar, Po-An Tsai, Tushar Krishna:
Demystifying Map Space Exploration for NPUs. IISWC 2022: 269-281 - [c18]Yunan Zhang, Po-An Tsai, Hung-Wei Tseng:
SIMD2: a generalized matrix instruction set for accelerating tensor computation beyond GEMM. ISCA 2022: 552-566 - [c17]Mark Horeni, Pooria Taheri, Po-An Tsai, Angshuman Parashar, Joel S. Emer, Siddharth Joshi:
Ruby: Improving Hardware Efficiency for Tensor Algebra Accelerators Through Imperfect Factorization. ISPASS 2022: 254-266 - [c16]Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel S. Emer:
Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling. MICRO 2022: 1377-1395 - [i5]Yunan Zhang, Po-An Tsai, Hung-Wei Tseng:
SIMD2: A Generalized Matrix Instruction Set for Accelerating Tensor Computation beyond GEMM. CoRR abs/2205.01252 (2022) - [i4]Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel S. Emer:
Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling. CoRR abs/2205.05826 (2022) - [i3]Sheng-Chun Kao, Angshuman Parashar, Po-An Tsai, Tushar Krishna:
Demystifying Map Space Exploration for NPUs. CoRR abs/2210.03731 (2022) - 2021
- [j1]Po-An Tsai, Andrés Sánchez, Christopher W. Fletcher, Daniel Sánchez:
Leaking Secrets Through Compressed Caches. IEEE Micro 41(3): 27-33 (2021) - [c15]Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna:
Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators. PACT 2021: 30-44 - [c14]Kartik Hegde, Po-An Tsai, Sitao Huang, Vikas Chandra, Angshuman Parashar, Christopher W. Fletcher:
Mind mappings: enabling efficient algorithm-accelerator mapping space search. ASPLOS 2021: 943-958 - [c13]Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel S. Emer:
Sparseloop: An Analytical, Energy-Focused Design Space Exploration Methodology for Sparse Tensor Accelerators. ISPASS 2021: 232-234 - [i2]Kartik Hegde, Po-An Tsai, Sitao Huang, Vikas Chandra, Angshuman Parashar, Christopher W. Fletcher:
Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search. CoRR abs/2103.01489 (2021) - [i1]Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna:
Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators. CoRR abs/2109.07419 (2021) - 2020
- [c12]Po-An Tsai, Andrés Sánchez, Christopher W. Fletcher, Daniel Sánchez:
Safecracker: Leaking Secrets through Compressed Caches. ASPLOS 2020: 1125-1140
2010 – 2019
- 2019
- [c11]Po-An Tsai, Daniel Sánchez:
Compress Objects, Not Cache Lines: An Object-Based Compressed Memory Hierarchy. ASPLOS 2019: 229-242 - 2018
- [c10]Nosayba El-Sayed, Anurag Mukkara, Po-An Tsai, Harshad Kasture, Xiaosong Ma, Daniel Sánchez:
KPart: A Hybrid Cache Partitioning-Sharing Technique for Commodity Multicores. HPCA 2018: 104-117 - [c9]Po-An Tsai, Yee Ling Gan, Daniel Sánchez:
Rethinking the Memory Hierarchy for Modern Languages. MICRO 2018: 203-216 - [c8]Po-An Tsai, Changping Chen, Daniel Sánchez:
Adaptive Scheduling for Systems with Asymmetric Memory Hierarchies. MICRO 2018: 641-654 - 2017
- [c7]Po-An Tsai, Nathan Beckmann, Daniel Sánchez:
Nexus: A New Approach to Replication in Distributed Shared Caches. PACT 2017: 166-179 - [c6]Po-An Tsai, Nathan Beckmann, Daniel Sánchez:
Jenga: Software-Defined Cache Hierarchies. ISCA 2017: 652-665 - 2016
- [c5]Yi Chia Chien, Po-An Tsai, Yu Ting Lin, Ssu Min Wu, Kuan Ting Chen, Yu Ting Han, Philip Hwang:
Uncertainty and Mental Workload Among Wayfinding Strategies. HCI (9) 2016: 556-565 - 2015
- [c4]Nathan Beckmann, Po-An Tsai, Daniel Sánchez:
Scaling distributed cache hierarchies through computation and data co-scheduling. HPCA 2015: 538-550 - [c3]Yu-Ching Lin, Po-An Tsai, Chun-Lin Lin, Kuan-Tsung Chang, Ming-Da Tsai:
Feature space optimization of multispectral imagery and LiDAR waveform data. IGARSS 2015: 589-592 - 2013
- [c2]Po-An Tsai, Yu-Hsin Kuo, En-Jui Chang, Hsien-Kai Hsin, An-Yeu Wu:
Hybrid path-diversity-aware adaptive routing with latency prediction model in Network-on-Chip systems. VLSI-DAT 2013: 1-4 - 2012
- [c1]Yu-Hsin Kuo, Po-An Tsai, Hao-Ping Ho, En-Jui Chang, Hsien-Kai Hsin, An-Yeu Andy Wu:
Path-Diversity-Aware Adaptive Routing in Network-on-Chip Systems. MCSoC 2012: 175-182
Coauthor Index
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last updated on 2024-10-21 21:30 CEST by the dblp team
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