Phanishayee, Amar

9 publications

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

ICML 2024 DéjàVu: KV-Cache Streaming for Fast, Fault-Tolerant Generative LLM Serving Foteini Strati, Sara Mcallister, Amar Phanishayee, Jakub Tarnawski, Ana Klimovic

ICML 2024 Integrated Hardware Architecture and Device Placement Search Irene Wang, Jakub Tarnawski, Amar Phanishayee, Divya Mahajan

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

ICML 2021 Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size Jack Kosaian, Amar Phanishayee, Matthai Philipose, Debadeepta Dey, Rashmi Vinayak

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

NeurIPS 2020 Efficient Algorithms for Device Placement of DNN Graph Operators Jakub M Tarnawski, Amar Phanishayee, Nikhil Devanur, Divya Mahajan, Fanny Nina Paravecino

ICML 2020 The Non-IID Data Quagmire of Decentralized Machine Learning Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip Gibbons