Narayanan, Deepak

8 publications

ICML 2025 Auto-Reconfiguration for Latency Minimization in CPU-Based DNN Serving Ankit Bhardwaj, Amar Phanishayee, Deepak Narayanan, Ryan Stutsman

ICML 2024 MGit: A Model Versioning and Management System Wei Hao, Daniel Mendoza, Rafael Mendes, Deepak Narayanan, Amar Phanishayee, Asaf Cidon, Junfeng Yang

NeurIPS 2023 Cheaply Estimating Inference Efficiency Metrics for Autoregressive Transformer Models Deepak Narayanan, Keshav Santhanam, Peter Henderson, Rishi Bommasani, Tony Lee, Percy Liang

TMLR 2023 Holistic Evaluation of Language Models Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D Manning, Christopher Re, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel Orr, Lucia Zheng, Mert Yuksekgonul, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Andrew Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda

NeurIPS 2023 Holistic Evaluation of Text-to-Image Models Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Fei-Fei Li, Jiajun Wu, Stefano Ermon, Percy Liang

ICMLW 2023 Implementing Block-Sparse Matrix Multiplication Kernels Using Triton Priya Mishra, Trevor Gale, Matei Zaharia, Cliff Young, Deepak Narayanan

ICML 2021 Memory-Efficient Pipeline-Parallel DNN Training Deepak Narayanan, Amar Phanishayee, Kaiyu Shi, Xie Chen, Matei Zaharia

NeurIPS 2021 Piper: Multidimensional Planner for DNN Parallelization Jakub M Tarnawski, Deepak Narayanan, Amar Phanishayee