| FAWN: A Fast Array of Wimpy Nodes DG Andersen, J Franklin, M Kaminsky, A Phanishayee, L Tan, ... SOSP 2009: Proceedings of the ACM SIGOPS 22nd Symposium on Operating Systems …, 2009 | 708 | 2009 |
| Safe and effective fine-grained TCP retransmissions for datacenter communication V Vasudevan, A Phanishayee, H Shah, E Krevat, DG Andersen, ... SIGCOMM 2009: 39 (4), 303-314, 2009 | 520 | 2009 |
| Measurement and Analysis of TCP Throughput Collapse in Cluster-based Storage Systems. A Phanishayee, E Krevat, V Vasudevan, DG Andersen, GR Ganger, ... FAST 2008: 6th USENIX Conference on File and Storage Technologies 8, 1-14, 2008 | 335 | 2008 |
| ProjecToR: Agile Reconfigurable Data Center Interconnect M Ghobadi, R Mahajan, A Phanishayee, N Devanur, J Kulkarni, ... SIGCOMM 2016, 216-229, 2016 | 209 | 2016 |
| On application-level approaches to avoiding TCP throughput collapse in cluster-based storage systems E Krevat, V Vasudevan, A Phanishayee, DG Andersen, GR Ganger, ... Proceedings of the 2nd international workshop on Petascale data storage …, 2007 | 92 | 2007 |
| TBD: Benchmarking and Analyzing Deep Neural Network Training H Zhu, M Akrout, B Zheng, A Pelegris, A Phanishayee, B Schroeder, ... IISWC 2018 - International Symposium on Workload Characterization - arXiv …, 2018 | 84 | 2018 |
| PipeDream: generalized pipeline parallelism for DNN training D Narayanan, A Harlap, A Phanishayee, V Seshadri, NR Devanur, ... SOSP 2019: Proceedings of the 27th ACM Symposium on Operating Systems …, 2019 | 82 | 2019 |
| PipeDream: Fast and efficient pipeline parallel DNN training A Harlap, D Narayanan, A Phanishayee, V Seshadri, N Devanur, ... arXiv preprint arXiv:1806.03377, 2018 | 80 | 2018 |
| Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads M Jeon, S Venkataraman, A Phanishayee, J Qian, W Xiao, F Yang USENIX ATC 2019 (arXiv preprint arXiv:1901.05758), 2019 | 78* | 2019 |
| Atomic In-place Updates for Non-volatile Main Memories with Kamino-Tx A Memaripour, A Badam, A Phanishayee, Y Zhou, R Alagappan, ... EuroSys 2017: Twelfth European Conference on Computer Systems, 499-512, 2017 | 72 | 2017 |
| Ditto: a system for opportunistic caching in multi-hop wireless networks FR Dogar, A Phanishayee, H Pucha, O Ruwase, DG Andersen Mobicom 2008: Proceedings of the 14th ACM international conference on Mobile …, 2008 | 70 | 2008 |
| Gist: Efficient Data Encoding for Deep Neural Network Training A Jain, A Phanishayee, J Mars, L Tang, G Pekhimenko ISCA 2018: Proceedings of The 45th International Symposium on Computer …, 2018 | 63 | 2018 |
| Bolt: Data management for connected homes T Gupta, RP Singh, A Phanishayee, J Jung, R Mahajan NSDI 2014: Proceedings of the 11th USENIX Symposium on Networked Systems …, 2014 | 57 | 2014 |
| Ricochet: Lateral Error Correction for Time-Critical Multicast. M Balakrishnan, KP Birman, A Phanishayee, S Pleisch NSDI 2007: Proceedings of the 4th USENIX Symposium on Networked Systems …, 2007 | 56 | 2007 |
| Parameter hub: a rack-scale parameter server for distributed deep neural network training L Luo, J Nelson, L Ceze, A Phanishayee, A Krishnamurthy SOCC 2018: Proceedings of the ACM Symposium on Cloud Computing, 41-54, 2018 | 51 | 2018 |
| FAWN: A fast array of wimpy nodes DG Andersen, J Franklin, M Kaminsky, A Phanishayee, L Tan, ... Communications of the ACM 54 (7), 101-109, 2011 | 51 | 2011 |
| FAWNdamentally Power-efficient Clusters. V Vasudevan, J Franklin, DG Andersen, A Phanishayee, L Tan, ... HotOS 2009: 12th Workshop on Hot Topics in Operating Systems 9, 22-22, 2009 | 41 | 2009 |
| The non-IID data quagmire of decentralized machine learning K Hsieh, A Phanishayee, O Mutlu, PB Gibbons ICML 2020: International Conference on Machine Learning (arXiv preprint …, 2019 | 40 | 2019 |
| Chaining For Flexible And High-Performance Key-Value Systems A Phanishayee CMU-CS-12-139, 2012 | 33 | 2012 |
| Flex-KV: Enabling high-performance and flexible KV systems A Phanishayee, DG Andersen, H Pucha, A Povzner, W Belluomini MBDS 2012: Proceedings of the 2012 workshop on Management of Big Data …, 2012 | 27 | 2012 |
David G. AndersenProfessor of Computer Science, Carnegie Mellon UniversityVerifierad e-postadress på cs.cmu.edu
