Gonzalez, Joseph E.

Apache Spark: A unified engine for big data processing

Zaharia, M., Xin, R. S., Wendell, P., Das, T., Armbrust, M., Dave, A., Meng, X., Rosen, J., Venkataraman, S., Franklin, M. J., et al. (2016) · Communications of the ACM

Cloud Computing and Resource ManagementAdvanced Database Systems and Queries

Cited by 2,757

Efficient Memory Management for Large Language Model Serving with PagedAttention

Kwon, W., Li, Z., Zhuang, S., Sheng, Y., Zheng, L., Yu, C. H., Gonzalez, J., Zhang, H., & Stoica, I. (2023) · Proceedings of the 29th Symposium on Operating Systems Principles

Natural Language Processing TechniquesTopic Modeling

Cited by 1,817

Efficient Memory Management for Large Language Model Serving with PagedAttention

Kwon, W., Li, Z., Zhuang, S., Sheng, Y., Zheng, L., Yu, C. H., Gonzalez, J. E., Zhang, H., & Stoica, I. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 1,802

Carbon Emissions and Large Neural Network Training

Patterson, D., Gonzalez, J., Le, Q., Liang, C., Munguia, L.-M., Rothchild, D., So, D., Texier, M., & Dean, J. (2021) · arXiv

Green IT and SustainabilityEnergy Efficiency in Computing

Cited by 486

RLlib: Abstractions for Distributed Reinforcement Learning

Liang, E., Liaw, R., Moritz, P., Nishihara, R., Fox, R., Goldberg, K., Gonzalez, J. E., Jordan, M. I., & Stoica, I. (2017) · arXiv

Reinforcement Learning in RoboticsParallel Computing and Optimization Techniques

Cited by 473

Clipper: A Low-Latency Online Prediction Serving System

Crankshaw, D., Wang, X., Zhou, G., Franklin, M. J., Gonzalez, J. E., & Stoica, I. (2016) · arXiv

Cloud Computing and Resource ManagementData Stream Mining Techniques

Cited by 415

The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink

Patterson, D., Gonzalez, J., Holzle, U., Le, Q., Liang, C., Munguia, L.-M., Rothchild, D., So, D. R., Texier, M., & Dean, J. (2022) · Computer

Green IT and SustainabilityEnergy Efficiency in Computing

Cited by 400

RAFT: Adapting Language Model to Domain Specific RAG

Zhang, T., Patil, S. G., Jain, N., Shen, S., Zaharia, M., Stoica, I., & Gonzalez, J. E. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 286

A Berkeley View of Systems Challenges for AI

Stoica, I., Song, D., Popa, R. A., Patterson, D., Mahoney, M. W., Katz, R., Joseph, A. D., Jordan, M., Hellerstein, J. M., Gonzalez, J. E., et al. (2017) · arXiv

Artificial Intelligence ApplicationsAdvanced Neural Network Applications

Cited by 171

SGLang: Efficient Execution of Structured Language Model Programs

Zheng, L., Yin, L., Xie, Z., Sun, C., Huang, J., Yu, C. H., Cao, S., Kozyrakis, C., Stoica, I., Gonzalez, J. E., et al. (2023) · arXiv

Natural Language Processing TechniquesParallel Computing and Optimization Techniques

Cited by 145

Contrastive Code Representation Learning

Jain, P., Jain, A., Zhang, T., Abbeel, P., Gonzalez, J. E., & Stoica, I. (2020) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 129

Contrastive Code Representation Learning

Jain, P., Jain, A., Zhang, T., Abbeel, P., Gonzalez, J., & Stoica, I. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Software Engineering ResearchTopic Modeling

Cited by 129

Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning

Zheng, L., Li, Z., Zhang, H., Zhuang, Y., Chen, Z., Huang, Y., Wang, Y., Xu, Y., Zhuo, D., Xing, E. P., et al. (2022) · arXiv

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 124

Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data

Sundaresan, P., Grannen, J., Thananjeyan, B., Balakrishna, A., Laskey, M., Stone, K., Gonzalez, J. E., & Goldberg, K. (2020) · 2020 IEEE International Conference on Robotics and Automation (ICRA)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 107

A Fog Robotics Approach to Deep Robot Learning: Application to Object Recognition and Grasp Planning in Surface Decluttering

Tanwani, A. K., Mor, N., Kubiatowicz, J., Gonzalez, J. E., & Goldberg, K. (2019) · 2019 International Conference on Robotics and Automation (ICRA)

IoT and Edge/Fog ComputingRobotics and Automated Systems

Cited by 87

FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU

Sheng, Y., Zheng, L., Yuan, B., Li, Z., Ryabinin, M., Fu, D. Y., Xie, Z., Chen, B., Barrett, C., Gonzalez, J. E., et al. (2023) · arXiv

Parallel Computing and Optimization TechniquesNatural Language Processing Techniques

Cited by 86

Safety Augmented Value Estimation From Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks

Thananjeyan, B., Balakrishna, A., Rosolia, U., Li, F., McAllister, R., Gonzalez, J. E., Levine, S., Borrelli, F., & Goldberg, K. (2020) · IEEE Robotics and Automation Letters

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 83

MemGPT: Towards LLMs as Operating Systems

Packer, C., Wooders, S., Lin, K., Fang, V., Patil, S. G., Stoica, I., & Gonzalez, J. E. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 64

BEV-Seg: Bird's Eye View Semantic Segmentation Using Geometry and Semantic Point Cloud

Ng, M. H., Radia, K., Chen, J., Wang, D., Gog, I., & Gonzalez, J. E. (2020) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 40

LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Zheng, L., Chiang, W.-L., Sheng, Y., Li, T., Zhuang, S., Wu, Z., Zhuang, Y., Li, Z., Lin, Z., Xing, E. P., et al. (2023) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 27

Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies

Sundaresan*, P., Grannen*, J., Thananjeyan, B., Balakrishna, A., Ichnowski, J., Novoseller, E., Hwang, M., Laskey, M., Gonzalez, J., & Goldberg, K. (2021) · Robotics: Science and Systems XVII

Robot Manipulation and LearningSoft Robotics and Applications

Cited by 26

Disentangling Dense Multi-Cable Knots

Viswanath, V., Grannen, J., Sundaresan, P., Thananjeyan, B., Balakrishna, A., Novoseller, E., Ichnowski, J., Laskey, M., Gonzalez, J. E., & Goldberg, K. (2021) · 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Robot Manipulation and LearningSoft Robotics and Applications

Cited by 21

RouteLLM: Learning to Route LLMs with Preference Data

Ong, I., Almahairi, A., Wu, V., Chiang, W.-L., Wu, T., Gonzalez, J. E., Kadous, M. W., & Stoica, I. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 15

The Wisdom of Hindsight Makes Language Models Better Instruction Followers

Zhang, T., Liu, F., Wong, J., Abbeel, P., & Gonzalez, J. E. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 13