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2020 – today
- 2024
[i15]Abhimanyu Rajeshkumar Bambhaniya, Amir Yazdanbakhsh, Suvinay Subramanian, Sheng-Chun Kao, Shivani Agrawal, Utku Evci, Tushar Krishna:
Progressive Gradient Flow for Robust N: M Sparsity Training in Transformers. CoRR abs/2402.04744 (2024)- [i14]Rachid Karami, Hemanth Kota, Sheng-Chun Kao, Hyoukjun Kwon:
NonGEMM Bench: Understanding the Performance Horizon of the Latest ML Workloads with NonGEMM Workloads. CoRR abs/2404.11788 (2024) - 2023
- [c10]Sheng-Chun Kao, Suvinay Subramanian, Gaurav Agrawal, Amir Yazdanbakhsh, Tushar Krishna:
FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks. ASPLOS (2) 2023: 295-310 - [i13]Joo Hyung Lee, Wonpyo Park, Nicole Mitchell, Jonathan Pilault, Johan S. Obando-Ceron, Han-Byul Kim, Namhoon Lee, Elias Frantar, Yun Long, Amir Yazdanbakhsh, Shivani Agrawal, Suvinay Subramanian, Xin Wang, Sheng-Chun Kao, Xingyao Zhang, Trevor Gale, Aart Bik, Woohyun Han, Milen Ferev, Zhonglin Han, Hong-Seok Kim, Yann N. Dauphin, Karolina Dziugaite, Pablo Samuel Castro, Utku Evci:
JaxPruner: A concise library for sparsity research. CoRR abs/2304.14082 (2023) - 2022
- [b1]Sheng-Chun Kao:
Domain-aware Genetic Algorithms for Hardware and Mapping Optimization for Efficient DNN Acceleration. Georgia Institute of Technology, Atlanta, GA, USA, 2022 - [j2]Sheng-Chun Kao, Hyoukjun Kwon
, Michael Pellauer, Angshuman Parashar, Tushar Krishna:
A Formalism of DNN Accelerator Flexibility. Proc. ACM Meas. Anal. Comput. Syst. 6(2): 41:1-41:23 (2022) - [c9]Sheng-Chun Kao, Michael Pellauer, Angshuman Parashar, Tushar Krishna:
DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators. DATE 2022: 232-237 - [c8]Sheng-Chun Kao, Tushar Krishna:
MAGMA: An Optimization Framework for Mapping Multiple DNNs on Multiple Accelerator Cores. HPCA 2022: 814-830 - [c7]Sheng-Chun Kao, Angshuman Parashar, Po-An Tsai, Tushar Krishna:
Demystifying Map Space Exploration for NPUs. IISWC 2022: 269-281 - [c6]Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna:
A Formalism of DNN Accelerator Flexibility. SIGMETRICS (Abstracts) 2022: 53-54 - [i12]Sheng-Chun Kao, Xiaoyu Huang, Tushar Krishna:
DNNFuser: Generative Pre-Trained Transformer as a Generalized Mapper for Layer Fusion in DNN Accelerators. CoRR abs/2201.11218 (2022) - [i11]Sheng-Chun Kao, Michael Pellauer, Angshuman Parashar, Tushar Krishna:
DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators. CoRR abs/2201.11220 (2022) - [i10]Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna:
A Formalism of DNN Accelerator Flexibility. CoRR abs/2206.02987 (2022) - [i9]Sheng-Chun Kao, Amir Yazdanbakhsh, Suvinay Subramanian, Shivani Agrawal, Utku Evci, Tushar Krishna:
Training Recipe for N: M Structured Sparsity with Decaying Pruning Mask. CoRR abs/2209.07617 (2022) - [i8]Sheng-Chun Kao, Angshuman Parashar, Po-An Tsai, Tushar Krishna:
Demystifying Map Space Exploration for NPUs. CoRR abs/2210.03731 (2022) - 2021
- [c5]Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon Euhyun Moon, Sivasankaran Rajamanickam, Tushar Krishna:
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats. IPDPS 2021: 1014-1024 - [c4]Sheng-Chun Kao, Tushar Krishna:
E3: A HW/SW Co-design Neuroevolution Platform for Autonomous Learning in Edge Device. ISPASS 2021: 288-298 - [i7]Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon Euhyun Moon, Sivasankaran Rajamanickam, Tushar Krishna:
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats. CoRR abs/2103.10452 (2021) - [i6]Sheng-Chun Kao, Tushar Krishna:
Domain-specific Genetic Algorithm for Multi-tenant DNNAccelerator Scheduling. CoRR abs/2104.13997 (2021) - [i5]Sheng-Chun Kao, Suvinay Subramanian, Gaurav Agrawal, Tushar Krishna:
ATTACC the Quadratic Bottleneck of Attention Layers. CoRR abs/2107.06419 (2021) - 2020
- [c3]Sheng-Chun Kao, Tushar Krishna:
GAMMA: Automating the HW Mapping of DNN Models on Accelerators via Genetic Algorithm. ICCAD 2020: 44:1-44:9 - [c2]Sheng-Chun Kao, Geonhwa Jeong, Tushar Krishna:
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning. MICRO 2020: 622-636 - [i4]Sheng-Chun Kao, Arun Ramamurthy, Tushar Krishna:
Generative Design of Hardware-aware DNNs. CoRR abs/2006.03968 (2020) - [i3]Sheng-Chun Kao, Arun Ramamurthy, Reed Williams, Tushar Krishna:
Conditional Neural Architecture Search. CoRR abs/2006.03969 (2020) - [i2]Sheng-Chun Kao, Geonhwa Jeong, Tushar Krishna:
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning. CoRR abs/2009.02010 (2020)
2010 – 2019
- 2019
- [c1]Sheng-Chun Kao, Chao-Han Huck Yang, Pin-Yu Chen, Xiaoli Ma, Tushar Krishna:
Reinforcement learning based interconnection routing for adaptive traffic optimization. NOCS 2019: 17:1-17:2 - [i1]Sheng-Chun Kao, Chao-Han Huck Yang, Pin-Yu Chen, Xiaoli Ma, Tushar Krishna:
Reinforcement Learning based Interconnection Routing for Adaptive Traffic Optimization. CoRR abs/1908.04484 (2019) - 2018
- [j1]Sheng-Chun Kao, Ding-Yuan Lee, Ting-Sheng Chen, An-Yeu Wu:
Dynamically Updatable Ternary Segmented Aging Bloom Filter for OpenFlow-Compliant Low-Power Packet Processing. IEEE/ACM Trans. Netw. 26(2): 1004-1017 (2018)
Coauthor Index
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last updated on 2024-05-23 21:28 CEST by the dblp team
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