Publications

Found 14 results
Author Title Type [ Year(Desc)]
Filters: Author is Kurt Keutzer  [Clear All Filters]
2008
Asanović, K., Bodik R., Demmel J., Keaveny T., Keutzer K., Kubiatowicz J. D., et al. (2008).  The Parallel Computing Laboratory at UC Berkeley: A Research Agenda Based on the Berkeley View.
2009
Shalf, J., Asanović K., Patterson D., Keutzer K., Mattson T.., & Yelick K. (2009).  The Manycore Revolution: Will HPC Lead or Follow?. 40-49.
Catanzaro, B., Kamil S., Lee Y., Asanović K., Demmel J., Keutzer K., et al. (2009).  SEJITS: Getting Poductivity AND Performance with Selective Embedded JIT Specialization.
Asanović, K., Bodik R., Demmel J., Keaveny T., Keutzer K., Kubiatowicz J. D., et al. (2009).  A View of the Parallel Computing Landscape. Communications of the ACM. 52(10), 56-67.
Asanović, K., Bodik R., Demmel J., Keaveny T., Keutzer K., Kubiatowicz J. D., et al. (2009).  A View of the Parallel Computing Landscape. Communications of the ACM. 52(10), 56-67.
2011
Gonina, E., Friedland G., Cook H., & Keutzer K. (2011).  Fast Speaker Diarization Using a High-Level Scripting Language.
2014
Iandola, F., Moskewicz M., Karayev S., Girshick R., Darrell T., & Keutzer K. (2014).  DenseNet: Implementing Efficient ConvNet Descriptor Pyramids.
Gonina, E., Friedland G., Battenberg E., Koanantakool P., Driscoll M., Georganas E., et al. (2014).  Scalable Multimedia Content Analysis on Parallel Platforms Using Python. ACM Transactions on Multimedia Computing. 10(2), 
2015
Ashraf, K., Elizalde B. Martinez, Iandola F., Moskewicz M., Bernd J., Friedland G., et al. (2015).  Audio-Based Multimedia Event Detection with DNNs and Sparse Sampling. 611-614.
2016
Moskewicz, M. W., Jannesari A., & Keutzer K. (2016).  A Metaprogramming and Autotuning Framework for Deploying Deep Learning Applications. arXiv preprint arXiv:1611.06945.
2021
Yao, Z., Dong Z., Zheng Z., Gholami A., Yu J., Tan E., et al. (2021).  HAWQV3: Dyadic Neural Network Quantization.
Kim, S., Gholami A., Yao Z., Mahoney M., & Keutzer K. (2021).  I-BERT: Integer-only BERT Quantization.
2022
Kwon, W., Kim S., Mahoney M. W., Hassoun J., Keutzer K., & Gholami A. (2022).  A Fast Post-Training Pruning Framework for Transformers. NeurIPS.
Kim, S., Gholami A., Shaw A., Lee N., Mangalam K., Malik J., et al. (2022).  Squeezeformer: An Efficient Transformer for Automatic Speech Recognition. NeurIPS.