Amar Phanishayee
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
16
Active years
2006–2025
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ASPLOS | Forecasting GPU Performance for Deep Learning Training and Inference. | Seonho Lee, Amar Phanishayee, Divya Mahajan |
| 2025 | ICML | Auto-reconfiguration for Latency Minimization in CPU-based DNN Serving. | Ankit Bhardwaj, Amar Phanishayee, Deepak Narayanan, Ryan Stutsman |
| 2025 | ISCA | Scaling Llama 3 Training with Efficient Parallelism Strategies. | Weiwei Chu, Xinfeng Xie, Jiecao Yu, Jie Wang, Amar Phanishayee, Chunqiang Tang, Yuchen Hao, Jianyu Huang, Mustafa Ozdal, Jun Wang, Vedanuj Goswami, Naman Goyal, Abhishek Kadian, Andrew Gu, Chris Cai, Feng Tian, Xiaodong Wang, Min Si, Pavan Balaji, Ching-Hsiang Chu, Jongsoo Park |
| 2024 | EuroSys | Blox: A Modular Toolkit for Deep Learning Schedulers. | Saurabh Agarwal, Amar Phanishayee, Shivaram Venkataraman |
| 2024 | ICML | MGit: A Model Versioning and Management System. | Wei Hao, Daniel Mendoza, Rafael Mendes, Deepak Narayanan, Amar Phanishayee, Asaf Cidon, Junfeng Yang |
| 2024 | ICML | DjVu: KV-cache Streaming for Fast, Fault-tolerant Generative LLM Serving. | Foteini Strati, Sara McAllister, Amar Phanishayee, Jakub Tarnawski, Ana Klimovic |
| 2024 | ICML | Integrated Hardware Architecture and Device Placement Search. | Irene Wang, Jakub Tarnawski, Amar Phanishayee, Divya Mahajan |
| 2022 | OSDI | Looking Beyond GPUs for DNN Scheduling on Multi-Tenant Clusters. | Jayashree Mohan, Amar Phanishayee, Janardhan Kulkarni, Vijay Chidambaram |
| 2021 | FAST | CheckFreq: Frequent, Fine-Grained DNN Checkpointing. | Jayashree Mohan, Amar Phanishayee, Vijay Chidambaram |
| 2021 | HotOS | Doing more with less: training large DNN models on commodity servers for the masses. | Youjie Li, Amar Phanishayee, Derek Murray, Nam Sung Kim |
| 2021 | ICML | Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size. | Jack Kosaian, Amar Phanishayee, Matthai Philipose, Debadeepta Dey, Rashmi Vinayak |
| 2021 | ICML | Memory-Efficient Pipeline-Parallel DNN Training. | Deepak Narayanan, Amar Phanishayee, Kaiyu Shi, Xie Chen, Matei Zaharia |
| 2021 | SC | Efficient large-scale language model training on GPU clusters using megatron-LM. | Deepak Narayanan, Mohammad Shoeybi, Jared Casper, Patrick LeGresley, Mostofa Patwary, Vijay Korthikanti, Dmitri Vainbrand, Prethvi Kashinkunti, Julie Bernauer, Bryan Catanzaro, Amar Phanishayee, Matei Zaharia |
| 2020 | ICML | The Non-IID Data Quagmire of Decentralized Machine Learning. | Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip B. Gibbons |
| 2020 | NSDI | Themis: Fair and Efficient GPU Cluster Scheduling. | Kshiteej Mahajan, Arjun Balasubramanian, Arjun Singhvi, Shivaram Venkataraman, Aditya Akella, Amar Phanishayee, Shuchi Chawla |
| 2020 | OSDI | Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads. | Deepak Narayanan, Keshav Santhanam, Fiodar Kazhamiaka, Amar Phanishayee, Matei Zaharia |
| 2020 | USENIX | Daydream: Accurately Estimating the Efficacy of Optimizations for DNN Training. | Hongyu Zhu, Amar Phanishayee, Gennady Pekhimenko |
| 2019 | USENIX | Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads. | Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, Junjie Qian, Wencong Xiao, Fan Yang |
| 2019 | SOSP | PipeDream: generalized pipeline parallelism for DNN training. | Deepak Narayanan, Aaron Harlap, Amar Phanishayee, Vivek Seshadri, Nikhil R. Devanur, Gregory R. Ganger, Phillip B. Gibbons, Matei Zaharia |
| 2018 | CLOUD | Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training. | Liang Luo, Jacob Nelson, Luis Ceze, Amar Phanishayee, Arvind Krishnamurthy |
| 2018 | ISCA | Gist: Efficient Data Encoding for Deep Neural Network Training. | Animesh Jain, Amar Phanishayee, Jason Mars, Lingjia Tang, Gennady Pekhimenko |
| 2017 | EuroSys | Atomic In-place Updates for Non-volatile Main Memories with Kamino-Tx. | Amir Saman Memaripour, Anirudh Badam, Amar Phanishayee, Yanqi Zhou, Ramnatthan Alagappan, Karin Strauss, Steven Swanson |
| 2017 | NSDI | RAIL: A Case for Redundant Arrays of Inexpensive Links in Data Center Networks. | Danyang Zhuo, Monia Ghobadi, Ratul Mahajan, Amar Phanishayee, Xuan Kelvin Zou, Hang Guan, Arvind Krishnamurthy, Thomas E. Anderson |
| 2016 | SIGCOMM | ProjecToR: Agile Reconfigurable Data Center Interconnect. | Monia Ghobadi, Ratul Mahajan, Amar Phanishayee, Nikhil R. Devanur, Janardhan Kulkarni, Gireeja Ranade, Pierre-Alexandre Blanche, Houman Rastegarfar, Madeleine Glick, Daniel C. Kilper |
| 2016 | USENIX | Beam: Ending Monolithic Applications for Connected Devices. | Chenguang Shen, Rayman Preet Singh, Amar Phanishayee, Aman Kansal, Ratul Mahajan |
| 2015 | HotOS | A Case for Ending Monolithic Apps for Connected Devices. | Rayman Preet Singh, Chenguang Shen, Amar Phanishayee, Aman Kansal, Ratul Mahajan |
| 2014 | NSDI | Bolt: Data Management for Connected Homes. | Trinabh Gupta, Rayman Preet Singh, Amar Phanishayee, Jaeyeon Jung, Ratul Mahajan |
| 2013 | SIGCOMM | HomeLab: a platform for conducting experiments with connected devices in the home. | Rayman Preet Singh, A. J. Bernheim Brush, Evgeni Filippov, Danny Huang, Ratul Mahajan, Khurshed Mazhar, Amar Phanishayee, Arjmand Samuel |
| 2009 | CoNEXT | Scaling all-pairs overlay routing. | David A. Sontag, Yang Zhang, Amar Phanishayee, David G. Andersen, David R. Karger |
| 2009 | HotOS | FAWNdamentally Power-efficient Clusters. | Vijay Vasudevan, Jason Franklin, David G. Andersen, Amar Phanishayee, Lawrence Tan, Michael Kaminsky, Iulian Moraru |
| 2009 | SIGCOMM | Safe and effective fine-grained TCP retransmissions for datacenter communication. | Vijay Vasudevan, Amar Phanishayee, Hiral Shah, Elie Krevat, David G. Andersen, Gregory R. Ganger, Garth A. Gibson, Brian Mueller |
| 2009 | SOSP | FAWN: a fast array of wimpy nodes. | David G. Andersen, Jason Franklin, Michael Kaminsky, Amar Phanishayee, Lawrence Tan, Vijay Vasudevan |
| 2008 | FAST | Measurement and Analysis of TCP Throughput Collapse in Cluster-based Storage Systems. | Amar Phanishayee, Elie Krevat, Vijay Vasudevan, David G. Andersen, Gregory R. Ganger, Garth A. Gibson, Srinivasan Seshan |
| 2008 | MOBICOM | Ditto: a system for opportunistic caching in multi-hop wireless networks. | Fahad R. Dogar, Amar Phanishayee, Himabindu Pucha, Olatunji Ruwase, David G. Andersen |
| 2007 | NSDI | Ricochet: Lateral Error Correction for Time-Critical Multicast. | Mahesh Balakrishnan, Kenneth P. Birman, Amar Phanishayee, Stefan Pleisch |
| 2007 | SC | On application-level approaches to avoiding TCP throughput collapse in cluster-based storage systems. | Elie Krevat, Vijay Vasudevan, Amar Phanishayee, David G. Andersen, Gregory R. Ganger, Garth A. Gibson, Srinivasan Seshan |
| 2006 | SRDS | PLATO: Predictive Latency-Aware Total Ordering. | Mahesh Balakrishnan, Ken Birman, Amar Phanishayee |