Impact of Structural Faults on Neural Network Performance. - Krishna Teja Chitty-Venkata; Arun K. Somani (ASAP, 2019)

Array Aware Training/Pruning: Methods for Efficient Forward Propagation on Array-based Neural Network Accelerators. - Krishna Teja Chitty-Venkata; Arun K. Somani (ASAP, 2020)

Calibration Data-based CNN Filter Pruning for Efficient Layer Fusion. - Krishna Teja Chitty-Venkata; Arun K. Somani (HPCC/DSS/SmartCity, 2020)

Model Compression on Faulty Array-based Neural Network Accelerator. - Krishna Teja Chitty-Venkata; Arun K. Somani (PRDC, 2020)

Array-Aware Neural Architecture Search. - Krishna Teja Chitty-Venkata; Arun K. Somani (ASAP, 2021)

Searching Architecture and Precision for U-net based Image Restoration Tasks. - Krishna Teja Chitty-Venkata; Arun K. Somani; Sreenivas Kothandaraman (ICIP, 2021)

Efficient Design Space Exploration for Sparse Mixed Precision Neural Architectures. - Krishna Teja Chitty-Venkata; Murali Emani; Venkatram Vishwanath; Arun K. Somani (HPDC, 2022)

Neural Architecture Search for Transformers: A Survey. - Krishna Teja Chitty-Venkata; Murali Emani; Venkatram Vishwanath; Arun K. Somani (IEEE Access, 2022)

Differentiable Neural Architecture, Mixed Precision and Accelerator Co-Search. - Krishna Teja Chitty-Venkata; Yiming Bian; Murali Emani; Venkatram Vishwanath; Arun K. Somani (IEEE Access, 2023)

Neural Architecture Search Benchmarks: Insights and Survey. - Krishna Teja Chitty-Venkata; Murali Emani; Venkatram Vishwanath; Arun K. Somani (IEEE Access, 2023)

Neural Architecture Search Survey: A Hardware Perspective. - Krishna Teja Chitty-Venkata; Arun K. Somani (ACM Comput. Surv., 2023)

A survey of techniques for optimizing transformer inference. - Krishna Teja Chitty-Venkata; Sparsh Mittal; Murali Emani; Venkatram Vishwanath; Arun K. Somani (J. Syst. Archit., 2023)

WActiGrad: Structured Pruning for Efficient Finetuning and Inference of Large Language Models on AI Accelerators. - Krishna Teja Chitty-Venkata; Varuni Katti Sastry; Murali Emani; Venkatram Vishwanath; Sanjif Shanmugavelu; Sylvia Howland (Euro-Par (2), 2024)

LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators. - Krishna Teja Chitty-Venkata; Siddhisanket Raskar; Bharat Kale; Farah Ferdaus; Aditya Tanikanti; Ken Raffenetti; Valerie Taylor 001; Murali Emani; Venkatram Vishwanath (SC Workshops, 2024)

BaKlaVa - Budgeted Allocation of KV cache for Long-context Inference. - Ahmed Burak Gulhan; Krishna Teja Chitty-Venkata; Murali Emani; Mahmut T. Kandemir; Venkatram Vishwanath (CoRR, 2025)