Krishna Giri Narra
Krishna Giri Narra
PhD, Google
Verified email at - Homepage
Cited by
Cited by
Summarizer: trading communication with computing near storage
G Koo, KK Matam, I Te, HVKG Narra, J Li, HW Tseng, S Swanson, ...
2017 50th Annual IEEE/ACM International Symposium on Microarchitecture …, 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, ...
arXiv preprint arXiv:1811.03617, 2018
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
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
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
Privacy-preserving inference in machine learning services using trusted execution environments
KG Narra, Z Lin, Y Wang, K Balasubramaniam, M Annavaram
arXiv preprint arXiv:1912.03485, 2019
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
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
Wave: A distributed scheduling framework for dispersed computing
P Sakulkar, P Ghosh, B Krishnamachari, S Avestimehr, M Annavaram
Technical Report, 2018
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