Sheng-Chun Kao

31 papers A* 2A 3B 2Journal 17Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
Progressive Gradient Flow for Robust N:M Sparsity Training in Transformers.
CPAL
Abhimanyu Rajeshkumar Bambhaniya, Amir Yazdanbakhsh, Suvinay Subramanian, Sheng-Chun Kao, Shivani Agrawal, Utku Evci, Tushar Krishna
2025 B conf
Understanding the Performance Horizon of the Latest ML Workloads with NonGEMM Workloads.
ISPASS
Rachid Karami, Sheng-Chun Kao, Hyoukjun Kwon
2024 — conf
Jaxpruner: A Concise Library for Sparsity Research.
CPAL
Joo Hyung Lee, Wonpyo Park, Nicole Mitchell, Jonathan Pilault, Johan Samir Obando Ceron, Han-Byul Kim, Namhoon Lee, Elias Frantar, Yun Long, Amir Yazdanbakhsh, Woohyun Han, Shivani Agrawal, Suvinay Subramanian, Xin Wang, Sheng-Chun Kao, Xingyao Zhang, Trevor Gale, Aart J. C. Bik, Milen Ferev, Zhonglin Han, Hong-Seok Kim, Yann N. Dauphin, Gintare Karolina Dziugaite, Pablo Samuel Castro, Utku Evci
2024 J jnl
NonGEMM Bench: Understanding the Performance Horizon of the Latest ML Workloads with NonGEMM Workloads.
CoRR
Rachid Karami, Hemanth Kota, Sheng-Chun Kao, Hyoukjun Kwon
2024 J jnl
Progressive Gradient Flow for Robust N: M Sparsity Training in Transformers.
CoRR
Abhimanyu Rajeshkumar Bambhaniya, Amir Yazdanbakhsh, Suvinay Subramanian, Sheng-Chun Kao, Shivani Agrawal, Utku Evci, Tushar Krishna
2023 — conf
FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks.
ASPLOS (2)
Sheng-Chun Kao, Suvinay Subramanian, Gaurav Agrawal, Amir Yazdanbakhsh, Tushar Krishna
2023 J jnl
JaxPruner: A concise library for sparsity research.
CoRR
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 J. C. Bik, Woohyun Han, Milen Ferev, Zhonglin Han, Hong-Seok Kim, Yann N. Dauphin, Karolina Dziugaite, Pablo Samuel Castro, Utku Evci
2022 — conf
A Formalism of DNN Accelerator Flexibility.
SIGMETRICS (Abstracts)
Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
2022 J jnl
A Formalism of DNN Accelerator Flexibility.
CoRR
Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
2022 J jnl
A Formalism of DNN Accelerator Flexibility.
Proc. ACM Meas. Anal. Comput. Syst.
Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
2022 J jnl
DNNFuser: Generative Pre-Trained Transformer as a Generalized Mapper for Layer Fusion in DNN Accelerators.
CoRR
Sheng-Chun Kao, Xiaoyu Huang, Tushar Krishna
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 A conf
DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators.
DATE
Sheng-Chun Kao, Michael Pellauer, Angshuman Parashar, Tushar Krishna
2022 J jnl
DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators.
CoRR
Sheng-Chun Kao, Michael Pellauer, Angshuman Parashar, Tushar Krishna
2022 — —
Domain-aware Genetic Algorithms for Hardware and Mapping Optimization for Efficient DNN Acceleration.
Sheng-Chun Kao
2022 A* conf
MAGMA: An Optimization Framework for Mapping Multiple DNNs on Multiple Accelerator Cores.
HPCA
Sheng-Chun Kao, Tushar Krishna
2022 J jnl
Training Recipe for N: M Structured Sparsity with Decaying Pruning Mask.
CoRR
Sheng-Chun Kao, Amir Yazdanbakhsh, Suvinay Subramanian, Shivani Agrawal, Utku Evci, Tushar Krishna
2021 J jnl
ATTACC the Quadratic Bottleneck of Attention Layers.
CoRR
Sheng-Chun Kao, Suvinay Subramanian, Gaurav Agrawal, Tushar Krishna
2021 J jnl
Domain-specific Genetic Algorithm for Multi-tenant DNNAccelerator Scheduling.
CoRR
Sheng-Chun Kao, Tushar Krishna
2021 B conf
E3: A HW/SW Co-design Neuroevolution Platform for Autonomous Learning in Edge Device.
ISPASS
Sheng-Chun Kao, Tushar Krishna
2021 A conf
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats.
IPDPS
Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon Euhyun Moon, Sivasankaran Rajamanickam, Tushar Krishna
2021 J jnl
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats.
CoRR
Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon Euhyun Moon, Sivasankaran Rajamanickam, Tushar Krishna
2020 J jnl
Conditional Neural Architecture Search.
CoRR
Sheng-Chun Kao, Arun Ramamurthy, Reed Williams, Tushar Krishna
2020 A* conf
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning.
MICRO
Sheng-Chun Kao, Geonhwa Jeong, Tushar Krishna
2020 J jnl
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning.
CoRR
Sheng-Chun Kao, Geonhwa Jeong, Tushar Krishna
2020 A conf
GAMMA: Automating the HW Mapping of DNN Models on Accelerators via Genetic Algorithm.
ICCAD
Sheng-Chun Kao, Tushar Krishna
2020 J jnl
Generative Design of Hardware-aware DNNs.
CoRR
Sheng-Chun Kao, Arun Ramamurthy, Tushar Krishna
2019 J jnl
Reinforcement Learning based Interconnection Routing for Adaptive Traffic Optimization.
CoRR
Sheng-Chun Kao, Chao-Han Huck Yang, Pin-Yu Chen, Xiaoli Ma, Tushar Krishna
2019 — conf
Reinforcement learning based interconnection routing for adaptive traffic optimization.
NOCS
Sheng-Chun Kao, Chao-Han Huck Yang, Pin-Yu Chen, Xiaoli Ma, Tushar Krishna
2018 J jnl
Dynamically Updatable Ternary Segmented Aging Bloom Filter for OpenFlow-Compliant Low-Power Packet Processing.
IEEE/ACM Trans. Netw.
Sheng-Chun Kao, Ding-Yuan Lee, Ting-Sheng Chen, An-Yeu Wu