Krishna Giri Narra 个人学术档案

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	总计	2019 年至今
引用	375	354
h 指数	7	7
i10 指数	6	6

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Murali AnnavaramUSC在 usc.edu 的电子邮件经过验证
Salman AvestimehrDean's Professor and Director of USC-Amazon Center on Trustworthy AI, USC在 usc.edu 的电子邮件经过验证
Kiran Kumar MatamResearch Scientist, Facebook在 usc.edu 的电子邮件经过验证
Gunjae KooAssociate Professor, Korea University在 korea.ac.kr 的电子邮件经过验证
Mingchao YuBabylonChain Inc.在 babylonchain.io 的电子邮件经过验证
Mehrdad KiamariUniversity of Southern California在 usc.edu 的电子邮件经过验证
Hung-Wei TsengUniversity of California, Riverside在 ucr.edu 的电子邮件经过验证
Ganesh AnanthanarayananPrincipal Researcher at Microsoft在 microsoft.com 的电子邮件经过验证
Songze LiAssistant Professor, Hong Kong University of Science and Technology在 ust.hk 的电子邮件经过验证
Nam Sung KimW.J. ‘Jerry’ Sanders III – AMD, Inc. Endowed Chair Professor and Fellow of ACM/IEEE在 illinois.edu 的电子邮件经过验证
Alexander SchwingUniversity of Illinois at Urbana-Champaign在 illinois.edu 的电子邮件经过验证
Janki BhimaniFlorida International University在 fiu.edu 的电子邮件经过验证
Shankar Ganesh RamasubramanianIntel Corporation在 intel.com 的电子邮件经过验证
Kamakoti VeezhinathanProfessor, Department of Computer Science, IIT Madras在 cse.iitm.ac.in 的电子邮件经过验证

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Krishna Giri Narra

PhD, Google

在 google.com 的电子邮件经过验证 - 首页

Machine Learning Distributed Systems Computer Architecture


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Summarizer: trading communication with computing near storage G Koo, KK Matam, T I, HVKG Narra, J Li, HW Tseng, S Swanson, ... Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017	160	2017
Gradiveq: Vector quantization for bandwidth-efficient gradient aggregation in distributed cnn training M Yu, Z Lin, K Narra, S Li, Y Li, NS Kim, A Schwing, M Annavaram, ... Advances in Neural Information Processing Systems 31, 2018	77	2018
Origami inference: private inference using hardware enclaves KG Narra, Z Lin, Y Wang, K Balasubramanian, M Annavaram 2021 IEEE 14th International Conference on Cloud Computing (CLOUD), 78-84, 2021	42*	2021
Slack squeeze coded computing for adaptive straggler mitigation KG Narra, Z Lin, M Kiamari, S Avestimehr, M Annavaram Proceedings of the International Conference for High Performance Computing …, 2019	37*	2019
Enhancing SSDs with multi-stream: What? why? how? J Bhimani, J Yang, Z Yang, N Mi, NHVK Giri, R Pandurangan, C Choi, ... 2017 IEEE 36th International Performance Computing and Communications …, 2017	21	2017
Collage inference: Using coded redundancy for lowering latency variation in distributed image classification systems HVKG Narra, Z Lin, G Ananthanarayanan, S Avestimehr, M Annavaram 2020 IEEE 40th International Conference on Distributed Computing Systems …, 2020	17*	2020
Private ad modeling with DP-SGD C Denison, B Ghazi, P Kamath, R Kumar, P Manurangsi, KG Narra, ... arXiv preprint arXiv:2211.11896, 2022	9	2022
Train where the data is: A case for bandwidth efficient coded training Z Lin, KG Narra, M Yu, S Avestimehr, M Annavaram arXiv preprint arXiv:1910.10283, 2019	4	2019
Wave: A distributed scheduling framework for dispersed computing P Sakulkar, P Ghosh, A Knezevic, J Wang, Q Nguyen, J Tran, ... USC Auton. Netw. Res. Group, Univ. Southern California, Los Angeles, CA, USA …, 2018	4	2018
Training Differentially Private Ad Prediction Models with Semi-Sensitive Features L Chua, Q Cui, B Ghazi, C Harrison, P Kamath, W Krichene, R Kumar, ... arXiv preprint arXiv:2401.15246, 2024	2	2024
Generating synthetic benchmark circuits for accelerated life testing of field programmable gate arrays using genetic algorithm and particle swarm optimization L Srivani, NHVK Giri, S Ganesh, V Kamakoti Applied Soft Computing 27, 179-190, 2015	2	2015

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