Krishna Teja Chitty-Venkata

Orcid: 0000-0002-3027-1915

Affiliations:
  • Iowa State University, Ames, IA, USA


According to our database1, Krishna Teja Chitty-Venkata authored at least 12 papers between 2019 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
A survey of techniques for optimizing transformer inference.
J. Syst. Archit., November, 2023

Neural Architecture Search Survey: A Hardware Perspective.
ACM Comput. Surv., 2023

Neural Architecture Search Benchmarks: Insights and Survey.
IEEE Access, 2023

Differentiable Neural Architecture, Mixed Precision and Accelerator Co-Search.
IEEE Access, 2023

2022
Neural Architecture Search for Transformers: A Survey.
IEEE Access, 2022

Efficient Design Space Exploration for Sparse Mixed Precision Neural Architectures.
Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

2021
Searching Architecture and Precision for U-net based Image Restoration Tasks.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Array-Aware Neural Architecture Search.
Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021

2020
Model Compression on Faulty Array-based Neural Network Accelerator.
Proceedings of the 25th IEEE Pacific Rim International Symposium on Dependable Computing, 2020

Calibration Data-based CNN Filter Pruning for Efficient Layer Fusion.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

Array Aware Training/Pruning: Methods for Efficient Forward Propagation on Array-based Neural Network Accelerators.
Proceedings of the 31st IEEE International Conference on Application-specific Systems, 2020

2019
Impact of Structural Faults on Neural Network Performance.
Proceedings of the 30th IEEE International Conference on Application-specific Systems, 2019


  Loading...