Sheng-Chun Kao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 27

Top Topics

Space Exploration

Structured Sparsity

Autonomous Learning

Genetic Algorithm

Top Venues

Publications

Rachid Karami, Hemanth Kota, Sheng-Chun Kao, Hyoukjun Kwon
NonGEMM Bench: Understanding the Performance Horizon of the Latest ML Workloads with NonGEMM Workloads. CoRR (2024)
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 (2024)
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 (2023)
Sheng-Chun Kao, Suvinay Subramanian, Gaurav Agrawal, Amir Yazdanbakhsh, Tushar Krishna
FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks. ASPLOS (2) (2023)
Sheng-Chun Kao, Michael Pellauer, Angshuman Parashar, Tushar Krishna
DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators. DATE (2022)
Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
A Formalism of DNN Accelerator Flexibility. SIGMETRICS (Abstracts) (2022)
Sheng-Chun Kao, Michael Pellauer, Angshuman Parashar, Tushar Krishna
DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators. CoRR (2022)
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) (2022)
Sheng-Chun Kao, Xiaoyu Huang, Tushar Krishna
DNNFuser: Generative Pre-Trained Transformer as a Generalized Mapper for Layer Fusion in DNN Accelerators. CoRR (2022)
Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
A Formalism of DNN Accelerator Flexibility. CoRR (2022)
Sheng-Chun Kao, Angshuman Parashar, Po-An Tsai, Tushar Krishna
Demystifying Map Space Exploration for NPUs. CoRR (2022)
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 (2022)
Sheng-Chun Kao, Angshuman Parashar, Po-An Tsai, Tushar Krishna
Demystifying Map Space Exploration for NPUs. IISWC (2022)
Sheng-Chun Kao, Tushar Krishna
MAGMA: An Optimization Framework for Mapping Multiple DNNs on Multiple Accelerator Cores. HPCA (2022)
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 (2021)
Sheng-Chun Kao, Tushar Krishna
Domain-specific Genetic Algorithm for Multi-tenant DNNAccelerator Scheduling. CoRR (2021)
Sheng-Chun Kao, Tushar Krishna
E3: A HW/SW Co-design Neuroevolution Platform for Autonomous Learning in Edge Device. ISPASS (2021)
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)
Sheng-Chun Kao, Suvinay Subramanian, Gaurav Agrawal, Tushar Krishna
ATTACC the Quadratic Bottleneck of Attention Layers. CoRR (2021)
Sheng-Chun Kao, Arun Ramamurthy, Tushar Krishna
Generative Design of Hardware-aware DNNs. CoRR (2020)
Sheng-Chun Kao, Tushar Krishna
GAMMA: Automating the HW Mapping of DNN Models on Accelerators via Genetic Algorithm. ICCAD (2020)
Sheng-Chun Kao, Geonhwa Jeong, Tushar Krishna
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning. MICRO (2020)
Sheng-Chun Kao, Arun Ramamurthy, Reed Williams, Tushar Krishna
Conditional Neural Architecture Search. CoRR (2020)
Sheng-Chun Kao, Geonhwa Jeong, Tushar Krishna
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning. CoRR (2020)
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)
Sheng-Chun Kao, Chao-Han Huck Yang, Pin-Yu Chen, Xiaoli Ma, Tushar Krishna
Reinforcement Learning based Interconnection Routing for Adaptive Traffic Optimization. CoRR (2019)
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) (2018)