Sheng-Chun Kao

According to our database, Sheng-Chun Kao authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

NonGEMM Bench: Understanding the Performance Horizon of the Latest ML Workloads with NonGEMM Workloads.

Rachid Karami, Hemanth Kota, Sheng-Chun Kao, Hyoukjun Kwon

CoRR, 2024

Progressive Gradient Flow for Robust N: M Sparsity Training in Transformers.

Abhimanyu Rajeshkumar Bambhaniya, Amir Yazdanbakhsh, Suvinay Subramanian, Sheng-Chun Kao, Shivani Agrawal, Utku Evci, Tushar Krishna

CoRR, 2024

2023

JaxPruner: A concise library for sparsity research.

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

CoRR, 2023

FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks.

Sheng-Chun Kao, Suvinay Subramanian, Gaurav Agrawal, Amir Yazdanbakhsh, Tushar Krishna

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Domain-aware Genetic Algorithms for Hardware and Mapping Optimization for Efficient DNN Acceleration.

Sheng-Chun Kao

PhD thesis, 2022

A Formalism of DNN Accelerator Flexibility.

Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna

Proc. ACM Meas. Anal. Comput. Syst., 2022

Training Recipe for N: M Structured Sparsity with Decaying Pruning Mask.

Sheng-Chun Kao, Amir Yazdanbakhsh, Suvinay Subramanian, Shivani Agrawal, Utku Evci, Tushar Krishna

CoRR, 2022

DNNFuser: Generative Pre-Trained Transformer as a Generalized Mapper for Layer Fusion in DNN Accelerators.

Sheng-Chun Kao, Xiaoyu Huang, Tushar Krishna

CoRR, 2022

Demystifying Map Space Exploration for NPUs.

Sheng-Chun Kao, Angshuman Parashar, Po-An Tsai, Tushar Krishna

Proceedings of the IEEE International Symposium on Workload Characterization, 2022

MAGMA: An Optimization Framework for Mapping Multiple DNNs on Multiple Accelerator Cores.

Sheng-Chun Kao, Tushar Krishna

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators.

Sheng-Chun Kao, Michael Pellauer, Angshuman Parashar, Tushar Krishna

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

ATTACC the Quadratic Bottleneck of Attention Layers.

Sheng-Chun Kao, Suvinay Subramanian, Gaurav Agrawal, Tushar Krishna

CoRR, 2021

Domain-specific Genetic Algorithm for Multi-tenant DNNAccelerator Scheduling.

Sheng-Chun Kao, Tushar Krishna

CoRR, 2021

E3: A HW/SW Co-design Neuroevolution Platform for Autonomous Learning in Edge Device.

Sheng-Chun Kao, Tushar Krishna

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

Extending Sparse Tensor Accelerators to Support Multiple Compression Formats.

Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon Euhyun Moon, Sivasankaran Rajamanickam, Tushar Krishna

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2020

Conditional Neural Architecture Search.

Sheng-Chun Kao, Arun Ramamurthy, Reed Williams, Tushar Krishna

CoRR, 2020

Generative Design of Hardware-aware DNNs.

Sheng-Chun Kao, Arun Ramamurthy, Tushar Krishna

CoRR, 2020

ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning.

Sheng-Chun Kao, Geonhwa Jeong, Tushar Krishna

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

GAMMA: Automating the HW Mapping of DNN Models on Accelerators via Genetic Algorithm.

Sheng-Chun Kao, Tushar Krishna

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

2019

Reinforcement learning based interconnection routing for adaptive traffic optimization.

Sheng-Chun Kao, Chao-Han Huck Yang, Pin-Yu Chen, Xiaoli Ma, Tushar Krishna

Proceedings of the 13th IEEE/ACM International Symposium on Networks-on-Chip, 2019

2018

Dynamically Updatable Ternary Segmented Aging Bloom Filter for OpenFlow-Compliant Low-Power Packet Processing.

Sheng-Chun Kao, Ding-Yuan Lee, Ting-Sheng Chen, An-Yeu Wu

IEEE/ACM Trans. Netw., 2018