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Venkataraman, Shivaram

  1. numpywren: serverless linear algebra
    2018/10/23 by Vaishaal Shankar, Shankar, Vaishaal, Karl Krauth +14 · 3 voices · 4 citations
    Computer Science · #cs.DC
  2. Occupy the Cloud: Distributed Computing for the 99%
    2017/02/13 by Eric Jonas, Qifan Pu, Jonas, Eric +7 · 1 voice · 9 citations
    Computer Science · #Advanced Data Storage Technologies #Cloud Computing and Resource Management #IoT and Edge/Fog Computing #cs.DC
  3. Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads
    2019/01/17 by Myeongjae Jeon, Jeon, Myeongjae, Shivaram Venkataraman +9 · 28 citations
    Computer Science · #Cloud Computing and Resource Management #Distributed #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Parallel #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  4. Themis: Fair and Efficient GPU Cluster Scheduling
    2019/07/02 by Kshiteej Mahajan, Mahajan, Kshiteej, Arjun Balasubramanian +11 · 12 citations
    Computer Science · #Cloud Computing and Resource Management #Distributed #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Parallel #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  5. AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning
    2021/02/02 by Yuhan Liu, Saurabh Agarwal, Liu, Yuhan +3 · 9 citations
    Computer Science · #Topic Modeling #Advanced Neural Network Applications #Machine Learning and Data Classification
  6. LlamaTune: Sample-Efficient DBMS Configuration Tuning
    2022/03/10 by Konstantinos Kanellis, Cong Ding, Kanellis, Konstantinos +9 · 9 citations
    Computer Science · #Cloud Computing and Resource Management #Data Stream Mining Techniques #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning and Data Classification
  7. Blink: Fast and Generic Collectives for Distributed ML
    2019/10/11 by Guanhua Wang, Wang, Guanhua, Shivaram Venkataraman +9 · 8 citations
    Computer Science · #Advanced Neural Network Applications #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Parallel Computing and Optimization Techniques #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  8. Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning
    2022/09/30 by Zheng, Pengfei, Pan, Rui, Khan, Tarannum +2 · 6 citations
    #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)
  9. Decoding Speculative Decoding
    2024/02/02 by Minghao Yan, Yan, Minghao, Saurabh Agarwal +3 · 9 citations
    Computer Science · #Cellular Automata and Applications #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  10. MLlib: Machine Learning in Apache Spark
    2015/05/26 by Meng, Xiangrui, Bradley, Joseph, Yavuz, Burak +13 · 3 citations
    #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical Software (cs.MS) #Parallel #and Cluster Computing (cs.DC)
  11. Not All GPUs Are Created Equal: Characterizing Variability in Large-Scale, Accelerator-Rich Systems
    2022/08/23 by Prasoon Sinha, Sinha, Prasoon, Akhil Guliani +9 · 5 citations
    Computer Science · #Advanced Data Storage Technologies #Cloud Computing and Resource Management #Distributed #FOS: Computer and information sciences #Parallel #Parallel Computing and Optimization Techniques #and Cluster Computing (cs.DC)
  12. BagPipe: Accelerating Deep Recommendation Model Training
    2022/02/24 by Saurabh Agarwal, Agarwal, Saurabh, Ziyi Zhang +4 · 4 citations
    Computer Science · #Caching and Content Delivery #Cloud Computing and Resource Management #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  13. Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification
    2020/10/29 by Agarwal, Saurabh, Wang, Hongyi, Lee, Kangwook +2 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. Scaling Inference-Efficient Language Models
    2025/01/30 by Bian, Song, Yan, Minghao, Venkataraman, Shivaram · 7 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  15. KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics
    2016/10/29 by Sparks, Evan R., Venkataraman, Shivaram, Kaftan, Tomer +2 · 1 citation
    #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  16. Breaking Locality Accelerates Block Gauss-Seidel
    2017/01/14 by Tu, Stephen, Venkataraman, Shivaram, Wilson, Ashia C. +3 · 1 citation
    #FOS: Mathematics #Numerical Analysis (math.NA) #Optimization and Control (math.OC)
  17. On the Utility of Gradient Compression in Distributed Training Systems
    2021/02/28 by Saurabh Agarwal, Agarwal, Saurabh, Hongyi Wang +5 · 2 citations
    Computer Science · Medicine · #Stochastic Gradient Optimization Techniques #Advanced MRI Techniques and Applications #Medical Imaging Techniques and Applications
  18. Accelerating Deep Learning Inference via Freezing
    2020/02/07 by Adarsh Kumar, Arjun Balasubramanian, Kumar, Adarsh +5 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
  19. Accelerating Deep Learning Inference via Learned Caches
    2021/01/18 by Balasubramanian, Arjun, Kumar, Adarsh, Liu, Yuhan +3 · 1 citation
    #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Performance (cs.PF) #and Cluster Computing (cs.DC)
  20. Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs
    2025/10/21 by Song Bian, Tao Yu, Bian, Song +5 · 1 voice
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.LG
  21. Incremental IVF Index Maintenance for Streaming Vector Search
    2024/11/01 by Mohoney, Jason, Pacaci, Anil, Chowdhury, Shihabur Rahman +7 · 2 citations
    #Artificial Intelligence (cs.AI) #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  22. MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks
    2022/02/04 by Waleffe, Roger, Mohoney, Jason, Rekatsinas, Theodoros +1 · 1 citation
    #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  23. Does compressing activations help model parallel training?
    2023/01/06 by Song Bian, Bian, Song, Dacheng Li +7 · 1 citation
    Computer Science · #Algorithms and Data Compression #Machine Learning and Data Classification #Generative Adversarial Networks and Image Synthesis
  24. Blox: A Modular Toolkit for Deep Learning Schedulers
    2023/12/19 by Agarwal, Saurabh, Phanishayee, Amar, Venkataraman, Shivaram · 2 citations
    #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)
  25. PAL: A Variability-Aware Policy for Scheduling ML Workloads in GPU Clusters
    2024/08/21 by Jain, Rutwik, Tran, Brandon, Chen, Keting +2 · 2 citations
    #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)
  26. GraphSnapShot: Caching Local Structure for Fast Graph Learning
    2024/06/25 by Liu, Dong, Waleffe, Roger, Jiang, Meng +1 · 2 citations
    #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Social and Information Networks (cs.SI) #and Cluster Computing (cs.DC)
  27. CHAI: Clustered Head Attention for Efficient LLM Inference
    2024/03/12 by Saurabh Agarwal, Bilge Acun, Agarwal, Saurabh +12 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis
  28. Eva: Cost-Efficient Cloud-Based Cluster Scheduling
    2025/03/10 by Chang, Tzu-Tao, Venkataraman, Shivaram · 1 citation
    #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)
  29. Quake: Adaptive Indexing for Vector Search
    2025/06/03 by Jason Mohoney, Devesh Sarda, Mohoney, Jason +13 · 3 citations
    Computer Science · #Advanced Database Systems and Queries #Data Management and Algorithms #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Information Retrieval and Search Behavior
  30. Mirage: Towards Low-interruption Services on Batch GPU Clusters with Reinforcement Learning
    2023/06/25 by Ding, Qiyang, Zheng, Pengfei, Kudari, Shreyas +2 · 1 citation
    #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)