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Pekhimenko, Gennady

  1. MLPerf Inference Benchmark
    2019/11/06 by Reddi, Vijay Janapa, Cheng, Christine, Kanter, David +44 · 40 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Performance (cs.PF)
  2. Distributed Deep Learning in Open Collaborations
    2021/06/18 by Michael Diskin, Alexey Bukhtiyarov, Diskin, Michael +29 · 1 voice · 9 citations
    #cs.LG #cs.DC
  3. MLPerf Training Benchmark
    2019/10/02 by Peter Mattson, Mattson, Peter, Christine Cheng +71 · 33 citations
    Computer Science · #Advanced Neural Network Applications #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Performance (cs.PF)
  4. Automatic Horizontal Fusion for GPU Kernels
    2020/07/02 by Li, Ao, Zheng, Bojian, Pekhimenko, Gennady +1 · 8 citations
    #Distributed #FOS: Computer and information sciences #Parallel #Programming Languages (cs.PL) #and Cluster Computing (cs.DC)
  5. A Runtime-Based Computational Performance Predictor for Deep Neural Network Training
    2021/01/31 by Geoffrey X. Yu, Yubo Gao, Yu, Geoffrey X. +5 · 8 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Performance (cs.PF) #Stochastic Gradient Optimization Techniques
  6. Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices
    2021/03/04 by Max Ryabinin, Ryabinin, Max, Eduard Gorbunov +5 · 5 citations
    Computer Science · Neuroscience · #Advanced Neural Network Applications #Brain Tumor Detection and Classification #Distributed #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Parallel #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  7. Priority-based Parameter Propagation for Distributed DNN Training
    2019/05/10 by Anand Jayarajan, Jinliang Wei, Jayarajan, Anand +7 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Parallel #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  8. Daydream: Accurately Estimating the Efficacy of Optimizations for DNN Training
    2020/06/05 by Hongyu Zhu, Zhu, Hongyu, Amar Phanishayee +3 · 3 citations
    Computer Science · #Advanced Neural Network Applications #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Parallel Computing and Optimization Techniques #Performance (cs.PF) #Software Testing and Debugging Techniques #and Cluster Computing (cs.DC)
  9. IOS: Inter-Operator Scheduler for CNN Acceleration
    2020/11/02 by Yaoyao Ding, Ligeng Zhu, Ding, Yaoyao +7 · 3 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  10. A Framework for Accelerating Bottlenecks in GPU Execution with Assist Warps
    2016/02/03 by Nandita Vijaykumar, Gennady Pekhimenko, Vijaykumar, Nandita +17 · 2 citations
    Computer Science · #Advanced Data Storage Technologies #Cloud Computing and Resource Management #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Parallel Computing and Optimization Techniques
  11. The Synergy of Speculative Decoding and Batching in Serving Large Language Models
    2023/10/28 by Qidong Su, Christina Giannoula, Su, Qidong +3 · 4 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
  12. RowClone: Accelerating Data Movement and Initialization Using DRAM
    2018/05/07 by Vivek Seshadri, Seshadri, Vivek, Yoongu Kim +19 · 2 citations
    Computer Science · #Advanced Data Storage Technologies #Embedded Systems Design Techniques #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Parallel Computing and Optimization Techniques
  13. APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
    2024/06/19 by Dong, Honghua, Su, Qidong, Gao, Yubo +5 · 4 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Programming Languages (cs.PL)
  14. Tally: Non-Intrusive Performance Isolation for Concurrent Deep Learning Workloads
    2024/10/09 by Zhao, Wei, Jayarajan, Anand, Pekhimenko, Gennady · 3 citations
    #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)
  15. Seesaw: High-throughput LLM Inference via Model Re-sharding
    2025/03/09 by Su, Qidong, Zhao, Wei, Li, Xin +6 · 6 citations
    #Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)
  16. PyGim: An Efficient Graph Neural Network Library for Real Processing-In-Memory Architectures
    2024/02/26 by Christina Giannoula, Pei‐Ming Yang, Giannoula, Christina +15 · 3 citations
    Engineering · Computer Science · #Advanced Memory and Neural Computing #Neural Networks and Applications #Machine Learning and ELM
  17. Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation
    2025/04/17 by Yaoyao Ding, Ding, Yaoyao, Bohan Hou +13 · 4 citations
    Computer Science · #Parallel Computing and Optimization Techniques #Advanced Neural Network Applications #Natural Language Processing Techniques
  18. RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads
    2021/02/08 by Gleeson, James, Krishnan, Srivatsan, Gabel, Moshe +3 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE)
  19. Tempo: Accelerating Transformer-Based Model Training through Memory Footprint Reduction
    2022/10/19 by Muralidhar Andoorveedu, Andoorveedu, Muralidhar, Zhanda Zhu +5 · 1 citation
    Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel Computing and Optimization Techniques #Performance (cs.PF) #Topic Modeling
  20. Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
    2023/07/27 by Renbo Tu, Colin White, Tu, Renbo +11 · 1 citation
    Engineering · Physics and Astronomy · #Advanced Numerical Analysis Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Nanofluid Flow and Heat Transfer #Numerical Analysis (math.NA)
  21. HybridTier: an Adaptive and Lightweight CXL-Memory Tiering System
    2023/12/08 by Song, Kevin, Yang, Jiacheng, Wang, Zixuan +3 · 1 citation
    #Distributed #FOS: Computer and information sciences #Operating Systems (cs.OS) #Parallel #and Cluster Computing (cs.DC)
  22. TorchProbe: Fuzzing Dynamic Deep Learning Compilers
    2023/10/30 by Qidong Su, Chuqin Geng, Su, Qidong +5 · 1 citation
    Computer Science · #Software Testing and Debugging Techniques #Software Engineering Research #Adversarial Robustness in Machine Learning
  23. Horizontally Fused Training Array: An Effective Hardware Utilization Squeezer for Training Novel Deep Learning Models
    2021/02/03 by Shang Wang, Wang, Shang, Pei‐Ming Yang +7 · 1 citation
    Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Stochastic Gradient Optimization Techniques
  24. Minuet: Accelerating 3D Sparse Convolutions on GPUs
    2023/12/01 by Jiacheng Yang, Yang, Jiacheng, Christina Giannoula +9 · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #Distributed #FOS: Computer and information sciences #Image and Video Quality Assessment #Machine Learning (cs.LG) #Parallel #Performance (cs.PF) #and Cluster Computing (cs.DC)
  25. DPQuant: Efficient and Differentially-Private Model Training via Dynamic Quantization Scheduling
    2025/09/03 by Yubo Gao, Renbo Tu, Gao, Yubo +5 · 1 citation
    Computer Science · #Privacy-Preserving Technologies in Data #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications
  26. TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories
    2025/07/28 by Dong, Honghua, Yang, Jiacheng, Deng, Xun +4 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Programming Languages (cs.PL) #Software Engineering (cs.SE)