Krishna Teja Chitty-Venkata
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
8
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | PagedEviction: Structured Block-wise KV Cache Pruning for Efficient Large Language Model Inference. | Krishna Teja Chitty-Venkata, Jie Ye, Siddhisanket Raskar, Anthony Kougkas, Xian-He Sun, Murali Emani, Venkatram Vishwanath, Bogdan Nicolae |
| 2026 | HPDC | PKAS: Predictive KVCache-Aware Scheduling for Faster LLM and Transformer Inferences. | Jie Ye, Avinash Maurya, Krishna Teja Chitty-Venkata, Bogdan Nicolae, Anthony Kougkas, Xian-He Sun |
| 2025 | ICCV | MoPEQ: Mixture of Mixed Precision Quantized Experts. | Krishna Teja Chitty-Venkata, Jie Ye, Murali Emani |
| 2025 | ICIP | Langvision-Lora-Nas: Neural Architecture Search for Variable Lora Rank In Vision Language Models. | Krishna Teja Chitty-Venkata, Murali Emani, Venkatram Vishwanath |
| 2025 | SC | MoE-Inference-Bench: Performance Evaluation of Mixture of Expert Large Language and Vision Models. | Krishna Teja Chitty-Venkata, Sylvia Howland, Golara Azar, Daria Soboleva, Natalia Vassilieva, Siddhisanket Raskar, Murali Emani, Venkatram Vishwanath |
| 2024 | EuroPar | 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 |
| 2024 | SC | 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, Murali Emani, Venkatram Vishwanath |
| 2022 | HPDC | Efficient Design Space Exploration for Sparse Mixed Precision Neural Architectures. | Krishna Teja Chitty-Venkata, Murali Emani, Venkatram Vishwanath, Arun K. Somani |
| 2021 | ICIP | Searching Architecture and Precision for U-net based Image Restoration Tasks. | Krishna Teja Chitty-Venkata, Arun K. Somani, Sreenivas Kothandaraman |
| 2020 | HPCC | Calibration Data-based CNN Filter Pruning for Efficient Layer Fusion. | Krishna Teja Chitty-Venkata, Arun K. Somani |
| 2020 | PRDC | Model Compression on Faulty Array-based Neural Network Accelerator. | Krishna Teja Chitty-Venkata, Arun K. Somani |