Books

• D. Chinnery and K. Keutzer, Closing the power gap between ASIC \& custom: tools and techniques for low power design, Springer Science \& Business Media, 2008.
• D. Chinnery and K. Keutzer, Closing the Gap Between ASIC & Custom: Tools and Techniques for Low Power ASIC Design, New York, NY: Springer Business+Media, LLC, 2007.
• M. Gries and K. W. Keutzer, Eds., Building ASIPs: The MESCAL Methodology, New York: Springer, 2005.
• P. Chen, D. A. Kirkpatrick, and K. W. Keutzer, Static Crosstalk-Noise Analysis: For Deep Sub-Micron Digital Designs, Norwell, MA: Kluwer Academic Publishers, 2004.
• D. Chinnery and K. Keutzer, Closing the Gap Between ASIC & Custom: Tools and Techniques for High-Performance ASIC Design, Boston, MA: Kluwer Academic Publishers, 2002.

Book chapters or sections

• M. Anderson, B. Catanzaro, J. Chong, E. Gonina, K. Keutzer, C. Lai, M. W. Moskewicz, M. Murphy, B. Su, and K. Keutzer, "PALLAS: Mapping Applications onto Manycore," in Multiprocessor System-on-Chip: Hardware Design and Tool Integration, Springer, 2010, pp. 89-114.
• K. Keutzer and K. Ravindran, "Technology mapping," in Encyclopedia of Algorithms, M. Y. Kao, Ed., Springer Reference, Berlin, Germany: Springer, 2008, pp. 944-946.

Articles in journals or magazines

• Y. You, Z. Zhang, C. Hsieh, J. Demmel, and K. Keutzer, "Fast deep neural network training on distributed systems and cloud TPUs," IEEE Transactions on Parallel and Distributed Systems, vol. 30, no. 11, pp. 2449--2462, Nov. 2019.
• Z. Yao, A. Gholami, Q. Lei, K. Keutzer, and M. W. Mahoney, "Hessian-based analysis of large batch training and robustness to adversaries," Advances in Neural Information Processing Systems, vol. 31, pp. 4949--4959, Dec. 2018.
• F. N. Iandola, S. Han, M. W. Moskewicz, K. Ashraf, W. J. Dally, and K. Keutzer, "SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and< 0.5 MB model size," arXiv preprint arXiv:1602.07360, 2016.
• E. Gonina, G. Friedland, E. Battenberg, P. Koanantakool, M. Driscoll, E. Georganas, and K. Keutzer, "Scalable Multimedia Content Analysis on Parallel Platforms Using Python," ACM Trans. Multimedia Comput. Commun. Appl., vol. 10, no. 2, pp. 18:1--18:22, Feb. 2014.
• B. Catanzaro, A. Fox, K. Keutzer, D. A. Patterson, and B. Su, "Ubiquitous Parallel Computing from Berkeley, Illinois and Stanford," IEEE Micro, vol. 30, no. 2, pp. 41-55, March 2010.
• J. Shalf, K. Asanović, D. A. Patterson, K. Keutzer, T. Mattson, and K. A. Yelick, "The Manycore Revolution: Will the HPC Community Lead or Follow?," SciDAC Review, pp. 40-49, 2009.
• K. You, J. Chong, Y. Yi, E. Gonina, C. Hughes, Y. Chen, W. Sung, and K. Keutzer, "Parallel Scalability in Speech Recognition: Inference engine in large vocabulary continuous speech recognition," IEEE Signal Processing Magazine, vol. 26, no. 6, pp. 124-135, Nov. 2009.
• K. Asanović, R. Bodik, J. Demmel, T. Keaveny, K. Keutzer, N. Morgan, D. A. Patterson, K. Sen, J. Wawrzynek, D. Wessel, and K. A. Yelick, "A View of the Parallel Computing Landscape," Communications of the ACM, vol. 52, no. 10, pp. 56-67, Oct. 2009.
• K. You, J. Chong, Y. Yi, E. Gonina, C. J. Hughes, Y. Chen, W. Sung, and K. Keutzer, "Parallel scalability in speech recognition," IEEE Signal Processing Magazine, vol. 26, no. 6, pp. 124--135, June 2009.
• W. Hwu, K. Keutzer, and T. G. Mattson, "The concurrency challenge," IEEE Design and Test of Computers, vol. 25, no. 4, pp. 312-320, July 2008.
• D. I. August, K. Keutzer, S. Malik, and A. R. Newton, "A disciplined approach to the development of platform architectures," Microelectronics J., vol. 33, no. 11, pp. 881-890, Nov. 2002.
• R. E. Bryant, K. T. Cheng, A. B. Kahng, K. Keutzer, W. Maly, A. R. Newton, L. Pileggi, J. M. Rabaey, and A. L. Sangiovanni-Vincentelli, "Limitations and challenges of computer aided design technology for CMOS VLSI (Invited Paper)," Proc. IEEE, vol. 89, no. 3, pp. 341-365, March 2001.
• K. Keutzer, S. Malik, A. R. Newton, J. M. Rabaey, and A. L. Sangiovanni-Vincentelli, "System-level design: Orthogonalization of concerns and platform-based design," IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems, vol. 19, no. 12, pp. 1523-1543, Dec. 2000.
• K. Keutzer, S. Malik, A. R. Newton, J. M. Rabaey, and A. L. Sangiovanni-Vincentelli, "Invited Paper: System-level design: Orthogonalization of concerns and platform-based design," IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems, vol. 19, no. 12, pp. 1523-1543, Dec. 2000.
• D. August, K. Keutzer, S. Malik, and A. R. Newton, "Programmable ASICs to reduce costs," EE Times, Nov. 2000.
• S. Liao, S. Devadas, K. Keutzer, S. Tjiang, and A. Wang, "Storage assignment to decrease code size," SIGPLAN Notices, vol. 30, no. 6, pp. 186-195, June 1995.
• L. Lavagno, K. Keutzer, and A. L. Sangiovanni-Vincentelli, "Synthesis of hazard-free asynchronous circuits with bounded wire delays," IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems, vol. 14, no. 1, pp. 61-86, Jan. 1995.

Articles in conference proceedings

• C. J. Reed, R. Gupta, S. Li, S. Brockman, C. Funk, B. Clipp, K. Keutzer, S. Candido, M. Uyttendaele, and T. Darrell, "Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning," in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023, pp. 4088-4099.
• S. Shen, Z. Yao, A. Gholami, M. Mahoney, and K. Keutzer, "Powernorm: Rethinking batch normalization in transformers," in International Conference on Machine Learning, 2020, pp. 8741--8751.
• Y. Cai, Z. Yao, Z. Dong, A. Gholami, M. W. Mahoney, and K. Keutzer, "Zeroq: A novel zero shot quantization framework," in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp. 13169--13178.
• Y. You, J. Li, S. Reddi, J. Hseu, S. Kumar, S. Bhojanapalli, X. Song, J. Demmel, K. Keutzer, and C. Hsieh, "Large batch optimization for deep learning: Training bert in 76 minutes," in International Conference on Learning Representations, 2020.
• P. Jain, A. Jain, A. Nrusimha, A. Gholami, P. Abbeel, K. Keutzer, I. Stoica, and J. Gonzalez, "Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization," in Proceedings of Machine Learning and Systems 2020, Machine Learning and Systems, 2020, pp. 497--511.
• S. Shen, Z. Dong, J. Ye, L. Ma, Z. Yao, A. Gholami, M. W. Mahoney, and K. Keutzer, "Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT.," in AAAI, 2020, pp. 8815--8821.
• S. Zhao, B. Li, X. Yue, Y. Gu, P. Xu, R. Hu, H. Chai, and K. Keutzer, "Multi-source domain adaptation for semantic segmentation," in Advances in Neural Information Processing Systems, 2019, pp. 7287--7300.
• X. Yue, Y. Zhang, S. Zhao, A. L. Sangiovanni-Vincentelli, K. Keutzer, and B. Gong, "Domain randomization and pyramid consistency: Simulation-to-real generalization without accessing target domain data," in Proceedings of the IEEE International Conference on Computer Vision, 2019, pp. 2100--2110.
• Z. Dong, Z. Yao, A. Gholami, M. W. Mahoney, and K. Keutzer, "Hawq: Hessian aware quantization of neural networks with mixed-precision," in Proceedings of the IEEE International Conference on Computer Vision, 2019, pp. 293--302.
• Z. Yao, A. Gholami, P. Xu, K. Keutzer, and M. W. Mahoney, "Trust region based adversarial attack on neural networks," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019, pp. 11350--11359.
• B. Wu, X. Dai, P. Zhang, Y. Wang, F. Sun, Y. Wu, Y. Tian, P. Vajda, Y. Jia, and K. Keutzer, "Fbnet: Hardware-aware efficient convnet design via differentiable neural architecture search," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019, pp. 10734--10742.
• B. Wu, X. Zhou, S. Zhao, X. Yue, and K. Keutzer, "Squeezesegv2: Improved model structure and unsupervised domain adaptation for road-object segmentation from a lidar point cloud," in 2019 International Conference on Robotics and Automation (ICRA), 2019, pp. 4376--4382.
• A. Gholami, K. Kwon, B. Wu, Z. Tai, X. Yue, P. Jin, S. Zhao, and K. Keutzer, "Squeezenext: Hardware-aware neural network design," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018, pp. 1638--1647.
• Y. You, Z. Zhang, C. Hsieh, J. Demmel, and K. Keutzer, "Imagenet training in minutes," in Proceedings of the 47th International Conference on Parallel Processing, 2018, pp. 1--10.
• A. Gholami, A. Azad, P. Jin, K. Keutzer, and A. Buluç, "Integrated Model, Batch, and Domain Parallelism in Training Neural Networks," in SPAA'18: 30th ACM Symposium on Parallelism in Algorithms and Architectures, 2018.
• P. Jin, K. Keutzer, and S. Levine, "Regret minimization for partially observable deep reinforcement learning," in International conference on machine learning, 2018, pp. 2342--2351.
• S. Zhao, G. Ding, Q. Huang, T. Chua, B. W. Schuller, and K. Keutzer, "Affective Image Content Analysis: A Comprehensive Survey.," in IJCAI, 2018, pp. 5534--5541.
• A. Gholami, A. Azad, P. Jin, K. Keutzer, and A. Buluc, "Integrated model, batch, and domain parallelism in training neural networks," in Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures, 2018, pp. 77--86.
• B. Wu, A. Wan, X. Yue, P. Jin, S. Zhao, N. Golmant, A. Gholaminejad, J. Gonzalez, and K. Keutzer, "Shift: A zero flop, zero parameter alternative to spatial convolutions," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 9127--9135.
• B. Wu, A. Wan, X. Yue, and K. Keutzer, "Squeezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud," in 2018 IEEE International Conference on Robotics and Automation (ICRA), 2018, pp. 1887--1893.
• F. Iandola and K. Keutzer, "small neural nets are beautiful: enabling embedded systems with small deep-neural-network architectures," in 2017 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ ISSS), 2017, pp. 1--10.
• B. Wu, F. Iandola, P. H. Jin, and K. Keutzer, "Squeezedet: Unified, small, low power fully convolutional neural networks for real-time object detection for autonomous driving," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017, pp. 129--137.
• F. N. Iandola, M. W. Moskewicz, K. Ashraf, and K. Keutzer, "Firecaffe: near-linear acceleration of deep neural network training on compute clusters," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 2592--2600.
• E. Gonina, G. Friedland, H. Cook, and K. Keutzer, "Fast Speaker Diarization using a High-Level Scripting Language," in Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, ASRU'11, 2011.
• J. Chong, E. Gonina, K. You, and K. Keutzer, "Exploring Recognition Network Representations for Efficient Speech Inference on Highly Parallel Platforms," in Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010, pp. 1489-1492.
• N. Sundaram, T. Brox, and K. Keutzer, "Dense point trajectories by GPU-accelerated large displacement optical flow," in European conference on computer vision, 2010, pp. 438--451.
• D. Kolossa, J. Chong, S. Zeiler, and K. Keutzer, "Efficient Manycore CHMM Speech Recognition for Audiovisual and Multistream Data," in Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010, pp. 2698-2701.
• J. Chong, E. Gonina, and K. Keutzer, "Monte Carlo Methods," in 2nd Annual Conference on Parallel Programming Patterns (ParaPLoP'10), 2010.
• M. Dixon, J. Chong, and K. Keutzer, "Acceleration of Market Value-at-Risk Estimation," in Proceedings of the 2nd Workshop on High Performance Computational Finance, WHPCF '09, New York, NY, USA: ACM, 2009, pp. 5:1--5:8.
• K. You, J. Chong, Y. Yi, E. Gonina, C. Hughes, Y. Chen, W. Sung, and K. Keutzer, "Parallel Scalability in Speech Recognition: Inference engine in large vocabulary continuous speech recognition," in IEEE Signal Processing Magazine, Vol. 26, 2009, pp. 124-135.
• J. Chong, E. Gonina, Y. Yi, and K. Keutzer, "A Fully Data Parallel WFST-based Large Vocabulary Continuous Speech Recognition on a Graphics Processing Unit," in Proceedings of the 10th Annual Conference of the International Speech Communication Association (InterSpeech), 2009, pp. 1183–1186.
• J. Chong, E. Gonina, Y. Yi, and K. Keutzer, "A Fully Data Parallel WFST-based Large Vocabulary Continuous Speech Recognition on a Graphics Processing Unit," in Proceedings of the 10th Annual Conference of the International Speech Communication Association (InterSpeech), 2009, pp. 1183–1186.
• B. C. Catanzaro, S. A. Kamil, Y. Lee, K. Asanović, J. Demmel, K. Keutzer, J. Shalf, K. A. Yelick, and A. Fox, "SEJITS: Getting productivity and performance with selective embedded JIT specialization," in Proceedings First Workshop on Programming Models for Emerging Architectures, 2009.
• B. Catanzaro, N. Sundaram, and K. Keutzer, "Fast support vector machine training and classification on graphics processors," in Proceedings of the 25th international conference on Machine learning, 2008, pp. 104--111.
• B. C. Catanzaro, N. Sundaram, and K. Keutzer, "Fast support vector machine training and classification on graphics processors," in Proc. 25th Intl. Conf. on Machine Learning (ICML 2008), A. McCallum and S. Roweis, Eds., ACM International Conference Proceeding Series, Vol. 307, New York, NY: The Association for Computing Machinery, Inc., 2008, pp. 104-111.
• J. Chong, Y. Yi, A. Faria, N. Satish, and K. Keutzer, "Data-Parallel Large Vocabulary Continuous Speech Recognition on Graphics Processors," in Proceedings of the 1st Annual Workshop on Emerging Applications and Many Core Architecture, 2008, pp. 23-35.
• J. Chong, Y. Yi, A. Faria, N. Satish, and K. Keutzer, "Data-Parallel Large Vocabulary Continuous Speech Recognition on Graphics Processors," in Proceedings of the 1st Annual Workshop on Emerging Applications and Many Core Architecture, 2008, pp. 23-35.
• B. Catanzaro, N. Sundaram, and K. Keutzer, "Fast support vector machine training and classification on graphics processors," in ICML '08: Proceedings of the 25th international conference on Machine learning, New York, NY, USA: ACM, 2008, pp. 104--111.
• B. Catanzaro, K. Keutzer, and B. Y. Su, "Parallelizing CAD: A timely research agenda for EDA," in Proc. 45th ACM/IEEE Design Automation Conf. (DAC 2008), New York, NY: The Association for Computing Machinery, Inc., 2008, pp. 12-17.
• S. Sapatnekar, E. Haritan, K. Keutzer, A. Devgan, D. A. Kirkpatrick, S. Meier, D. Pryor, and T. Spyrou, "Reinventing EDA with manycore processors," in Proc. 45th ACM/IEEE Design Automation Conf. (DAC 2008), New York, NY: The Association of Computing Machinery, Inc., 2008, pp. 126-127.
• J. Chong, Y. Yi, A. Faria, N. Satish, and K. Keutzer, "Data-Parallel Large Vocabulary Continuous Speech Recognition on Graphics Processors," in Proceedings of the 1st Annual Workshop on Emerging Applications and Many Core Architecture (EAMA), 2008, pp. 23--35.
• J. Chong, N. R. Satish, B. C. Catanzaro, K. Ravindran, and K. Keutzer, "Efficient parallelization of H.264 decoding with macro block level scheduling," in Proc. 2007 Intl. Conf. on Multimedia and Expo (ICME 2007), Piscataway, NJ: IEEE Press, 2007, pp. 1874-1877.
• F. Bacchini, G. Spirakis, J. A. Carballo, A. de Geus, F. C. Hsu, K. Keutzer, and K. Yamada, "Megatrends and EDA 2017 (Panel Session)," in Proc. 44th Design Automation Conf. (DAC 2007), New York, NY: The Association for Computing Machinery, Inc., 2007, pp. 21-22.
• N. R. Satish, K. Ravindran, and K. Keutzer, "A decomposition-based constraint optimization approach for statically scheduling task graphs with communication delays to multiprocessors," in Proc. 10th Design, Automation and Test in Europe Conf. and Exhibition (DATE 2007), R. Lauwereins and J. Madsen, Eds., San Jose, CA: EDA Consortium, 2007, pp. 57-62.
• Y. Jin, N. R. Satish, K. Ravindran, and K. Keutzer, "An Automated Exploration Framework for FPGA-based Soft Multiprocessor Systems," in Proceedings of the 3rd IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis (CODES), ACM Press, 2005, pp. 273-278.
• K. Ravindran, N. R. Satish, Y. Jin, and K. Keutzer, "An FPGA-based Soft Multiprocessor for IPv4 Packet Forwarding," in 15th International Conference on Field Programmable Logic and Applications (FPL), 2005, pp. 487-492.
• K. Keutzer, S. Malik, and A. R. Newton, "From ASIC to ASIP: The next design discontinuity," in Proc. 2002 IEEE Conf. on Computer Design, Los Alamitos, CA: IEEE Computer Society Press, 2002, pp. 84-90.
• K. Keutzer and A. R. Newton, "The MARCO/DARPA Gigascale Silicon Research Center (Plenary Talk)," in Proc. 1999 Intl. Conf. on Computer Design (ICCD '99), Los Alamitos, CA: IEEE Computer Society Press, 1999, pp. 14-19.
• D. Sylvester and K. Keutzer, "Getting to the bottom of deep submicron," in 1998 IEEE/ACM Intl. Conf. on Computer-Aided Design. Digest of Technical Papers, New York, NY: ACM, 1998, pp. 203-11.
• K. Keutzer, A. R. Newton, and N. V. Shenoy, "The future of logic synthesis and physical design in deep-submicron process geometries," in Proc. 1997 Intl. Symp. on Physical Design, New York, NY: ACM, Inc., 1997, pp. 218-224.
• A. Ghosh, S. Devadas, K. Keutzer, and J. White, "Estimation of average switching activity in combinational and sequential circuits," in Proc. 29th ACM/IEEE Conf. on Design Automation, Los Alamitos, CA: IEEE Computer Society Press, 1992, pp. 253-259.
• K. Keutzer, "DAGON: Technology binding and local optimization by DAG matching," in Proc. 24th ACM/IEEE Conf. on Design Automation, Piscataway, NJ: IEEE, 1987, pp. 341-347.

Technical Reports

• Y. You, Z. Zhang, C. Hsieh, J. Demmel, and K. Keutzer, "ImageNet Training in Minutes," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2020-18, Jan. 2020.
• Y. You, J. Demmel, K. Keutzer, C. Hsieh, C. Ying, and J. Hseu, "Large-Batch Training for LSTM and Beyond," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2018-138, Nov. 2018.
• M. Anderson, F. Iandola, and K. Keutzer, "Quantifying the Energy Efficiency of Object Recognition and Optical Flow," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2014-184, Nov. 2014.
• D. Sheffield, M. Anderson, and K. Keutzer, "Automatic Generation Of Application-Specific Accelerators for FPGAs from Python Loop Nests," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2012-203, Oct. 2012.
• J. Chong, E. Gonina, D. Kolossa, S. Zeiler, and K. Keutzer, "An Automatic Speech Recognition Application Framework for Highly Parallel Implementations on the GPU," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2012-47, April 2012.
• F. Hedayati, J. Chong, and K. Keutzer, "Recognition of Tibetan Wood Block Prints with Generalized Hidden Markov and Kernelized Modified Quadratic Distance Function," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2010-138, Nov. 2010.
• M. Anderson, G. Ballard, J. Demmel, and K. Keutzer, "Communication-Avoiding QR Decomposition for GPUs," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2010-131, Oct. 2010.
• B. Catanzaro, M. Garland, and K. Keutzer, "Copperhead: Compiling an Embedded Data Parallel Language," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2010-124, Sep. 2010.
• N. Sundaram, T. Brox, and K. Keutzer, "Dense Point Trajectories by GPU-accelerated Large Displacement Optical Flow," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2010-104, July 2010.
• B. Catanzaro, S. A. Kamil, Y. Lee, K. Asanović, J. Demmel, K. Keutzer, J. Shalf, K. A. Yelick, and A. Fox, "SEJITS: Getting Productivity and Performance With Selective Embedded JIT Specialization," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2010-23, March 2010.
• J. Chong, Y. Yi, A. Faria, N. R. Satish, and K. Keutzer, "Data-Parallel Large Vocabulary Continuous Speech Recognition on Graphics Processors," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2008-69, May 2008.
• N. R. Satish, K. Ravindran, and K. Keutzer, "Scheduling Task Dependence Graphs with Variable Task Execution Times onto Heterogeneous Multiprocessors," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2008-42, April 2008.
• K. Asanović, R. Bodik, J. Demmel, T. Keaveny, K. Keutzer, J. D. Kubiatowicz, E. A. Lee, N. Morgan, G. Necula, D. A. Patterson, K. Sen, J. Wawrzynek, D. Wessel, and K. A. Yelick, "The Parallel Computing Laboratory at U.C. Berkeley: A Research Agenda Based on the Berkeley View," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2008-23, March 2008.
• M. Murphy, K. Keutzer, L. Oliker, C. Rowen, and J. Shalf, "Evaluating Architectures for Application-Specific Parallel Scientific Computing Systems," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2008-13, Feb. 2008.
• B. C. Catanzaro, N. Sundaram, and K. Keutzer, "Fast Support Vector Machine Training and Classification on Graphics Processors," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2008-11, Feb. 2008.
• K. Asanović, R. Bodik, B. C. Catanzaro, J. J. Gebis, P. Husbands, K. Keutzer, D. A. Patterson, W. L. Plishker, J. Shalf, S. W. Williams, and K. A. Yelick, "The Landscape of Parallel Computing Research: A View from Berkeley," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2006-183, Dec. 2006.
• A. C. Mihal, C. Sauer, and K. Keutzer, "Designing a Sub-RISC Multi-Gigabit Regular Expression Processor," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2006-119, Sep. 2006.
• N. Satish, K. Ravindran, M. Moskewicz, D. Chinnery, and K. Keutzer, "Evaluating the Effectiveness of Statistical Gate Sizing for Power Optimization," EECS Department, University of California, Berkeley, Tech. Rep. UCB/ERL M05/28, Aug. 2005.
• C. Sauer, M. Gries, C. Kulkarni, and K. Keutzer, "Performance Analysis of the Peripheral-Processor Interaction in Embedded Systems," EECS Department, University of California, Berkeley, Tech. Rep. UCB/ERL M03/26, June 2003.
• J. Weber, M. W. Moskewicz, M. Low, and K. Keutzer, "Multi-View Operation-level DesignSupporting the Design of Irregular ASIPs," EECS Department, University of California, Berkeley, Tech. Rep. UCB/ERL M03/12, April 2003.
• N. Shah, W. Plishker, and K. Keutzer, "A Programming Model for Network Processors," EECS Department, University of California, Berkeley, Tech. Rep. UCB/ERL M02/35, Nov. 2002.
• P. Chong, M. Prasad, and K. Keutzer, "Why Is ATPG Easy?," EECS Department, University of California, Berkeley, Tech. Rep. UCB/ERL M99/9, Feb. 1999.
• K. Keutzer, L. Lavagno, and A. L. Sangiovanni-Vincentelli, "Synthesis for Testability Techniques for Asynchronous Circuits," EECS Department, University of California, Berkeley, Tech. Rep. UCB/ERL M91/77, Sep. 1991.
• L. Lavagno, K. Keutzer, and A. L. Sangiovanni-Vincentelli, "Synthesis of Verifiably Hazard-Free Asynchronous Control Circuits," EECS Department, University of California, Berkeley, Tech. Rep. UCB/ERL M90/99, Nov. 1990.

Talks or presentations

• J. Cong, K. Keutzer, and G. Martin, "High-level CAD and architecture (Invited Talk)," presented at Pre-Conference Workshop on Grand Challenges in FPGA Research: 15th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGS 2007), Monterey, CA, Feb. 2007.

Ph.D. Theses

• S. Shen, "Efficient and Scalable Large Multimodal Models," T. Darrell and K. Keutzer, Eds., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2024-186, Aug. 2024.
• M. Murphy, "Parallelism, Patterns, and Performance in Iterative MRI Reconstruction," M. Lustig and K. Keutzer, Eds., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2011-134, Dec. 2011.

Masters Reports

• R. Gupta, C. Reed, S. Li, S. Brockman, C. Funk, B. Clipp, K. Keutzer, S. Candido, M. Uyttendaele, and T. Darrell, "Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2023-263, Dec. 2023.
• B. Yu, "Treating Models Better for Language-agnostic Understanding," K. Keutzer and J. DeNero, Eds., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2023-148, May 2023.
• N. Lee, K. Keutzer, and G. K. Anumanchipalli, "Exploring the Limits of Small Language Models," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2023-141, May 2023.
• S. Kim, S. Shen, D. Thorsley, A. Gholami, W. Kwon, J. Hassoun, and K. Keutzer, "Learned Token Pruning for Efficient Transformer Inference," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2023-119, May 2023.
• T. Wattanawong and K. Keutzer, "Hardware Software Co-design and Architectural Optimization of Deep Learning Models for Natural Language Processing," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2023-92, May 2023.
• K. Miao, C. Reed, A. Gokul, S. Petryk, R. Singh, K. Keutzer, J. Gonzalez, and T. Darrell, "Knowledge-Guided Self-Supervised Vision Transformers for Medical Imaging," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2022-56, May 2022.
• D. Wan, P. Jain, and T. Zhang, "Masked Layer Distillation: Fast and Robust Training Through Knowledge Transfer Normalization," J. Gonzalez and K. Keutzer, Eds., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2021-243, Dec. 2021.
• K. Keutzer and B. G. Song, "Driving dataset in the wild: Various driving scenes," J. Chuang, Ed., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2016-92, May 2016.
• F. Hedayati, J. Chong, and K. Keutzer, "Recognition of Tibetan Wood Block Prints with Generalized Hidden Markov and Kernelized Modified Quadratic Distance Function," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2010-139, Nov. 2010.