يعرض 1 - 10 نتائج من 45 نتيجة بحث عن '"Lin, Zhongyi"', وقت الاستعلام: 1.04s تنقيح النتائج
  1. 1
    تقرير
    Towards Universal Performance Modeling for Machine Learning Training on Multi-GPU Platforms

    المؤلفون: Lin, Zhongyi, Sun, Ning, Bhattacharya, Pallab, Feng, Xizhou, Feng, Louis, Owens, John D.

    مصطلحات موضوعية: Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Machine Learning, Computer Science - Performance

    URL الوصول: http://arxiv.org/abs/2404.12674

    أضف إلى المفضلة
  2. 2
    مؤتمر
    Building a Performance Model for Deep Learning Recommendation Model Training on GPUs

    المؤلفون: Lin, Zhongyi, Feng, Louis, Ardestani, Ehsan K., Lee, Jaewon, Lundell, John, Kim, Changkyu, Kejariwal, Arun, Owens, John D.

    المصدر: 2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics (HiPC) HIPC High Performance Computing, Data, and Analytics (HiPC), 2022 IEEE 29th International Conference on. :48-58 Dec, 2022

    Relation: 2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics (HiPC)

    Full Text Finder
    أضف إلى المفضلة
  3. 3
    تقرير
    Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks

    المؤلفون: Liang, Mingyu, Fu, Wenyin, Feng, Louis, Lin, Zhongyi, Panakanti, Pavani, Zheng, Shengbao, Sridharan, Srinivas, Delimitrou, Christina

    مصطلحات موضوعية: Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Artificial Intelligence

    URL الوصول: http://arxiv.org/abs/2301.04122

    أضف إلى المفضلة
  4. 4
    مؤتمر
    Accelerating DNN Inference with GraphBLAS and the GPU

    المؤلفون: Wang, Xiaoyun, Lin, Zhongyi, Yang, Carl, Owens, John D.

    المصدر: 2019 IEEE High Performance Extreme Computing Conference (HPEC) High Performance Extreme Computing Conference (HPEC), 2019 IEEE. :1-6 Sep, 2019

    Relation: 2019 IEEE High Performance Extreme Computing Conference (HPEC)

    Full Text Finder
    أضف إلى المفضلة
  5. 5
    مؤتمر
    Benchmarking Deep Learning Frameworks with FPGA-suitable Models on a Traffic Sign Dataset

    المؤلفون: Lin, Zhongyi, Ota, Jeffrey M., Owens, John D., Muyan-Ozcelik, Pnar

    المصدر: 2018 IEEE Intelligent Vehicles Symposium (IV) Intelligent Vehicles Symposium (IV), 2018 IEEE. :1197-1203 Jun, 2018

    Relation: 2018 IEEE Intelligent Vehicles Symposium (IV)

    أضف إلى المفضلة
  6. 6
    دورية أكاديمية
    Towards Flexible and Compiler-Friendly Layer Fusion for CNNs on Multicore CPUs

    المؤلفون: Lin, Zhongyi, Georganas, Evangelos, Owens, John D.

    وصف الملف: application/pdf

    URL الوصول: https://escholarship.org/uc/item/9v75738g

    أضف إلى المفضلة
  7. 7
    دورية أكاديمية
    Disentangling land model uncertainty via Matrix-based Ensemble Model Inter-comparison Platform (MEMIP)

    المؤلفون: Liao, Cuijuan, Chen, YizhaoAff2, Aff3, IDs13717021003568_cor2, Wang, Jingmeng, Liang, Yishuang, Huang, Yansong, Lin, Zhongyi, Lu, Xingjie, Huang, Yuanyuan, Tao, Feng, Lombardozzi, Danica, Arneth, Almut, Goll, Daniel S., Jain, Atul, Sitch, Stephen, Lin, Yanluan, Xue, Wei, Huang, Xiaomeng, Luo, YiqiAff13, IDs13717021003568_cor18

    المصدر: Ecological Processes. 11(1)

    Find this article in full text from Springer Verlag. Find this article in full text from ProQuest Full Text Finder
    أضف إلى المفضلة
  8. 8
    دورية أكاديمية
    Benchmarking Deep Learning Frameworks and Investigating FPGA Deployment for Traffic Sign Classification and Detection

    المؤلفون: Lin, Zhongyi, Yih, Matthew, Ota, Jeffrey M., Owens, John D., Muyan-Ozcelik, Pinar

    المصدر: IEEE Transactions on Intelligent Vehicles. 4(3)

    مصطلحات موضوعية: Field Programmable Gate Arrays (FPGAs), Intelligent Vehicles, Machine Learning, Computational and Artificial Intelligent, Image Processing

    وصف الملف: application/pdf

    URL الوصول: https://escholarship.org/uc/item/4sk284kw

    أضف إلى المفضلة
  9. 9
    Performance Modeling and Optimization for Machine Learning Workloads

    المؤلفون: Lin, Zhongyi

    مصطلحات موضوعية: Computer engineering, Electrical engineering, CPU, GPU, Machine Learning, Parallel Computing, Performance Modeling

    وصف الملف: application/pdf

    URL الوصول: https://escholarship.org/uc/item/3w91w6pz

    أضف إلى المفضلة
  10. 10
    Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks

    المؤلفون: Liang, Mingyu, Fu, Wenyin, Feng, Louis, Lin, Zhongyi, Panakanti, Pavani, Zheng, Shengbao, Sridharan, Srinivas, Delimitrou, Christina

    مصطلحات موضوعية: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Artificial Intelligence, Distributed, Parallel, and Cluster Computing (cs.DC)

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29bdce97a5c2dc849fc33d51a7d18917

    أضف إلى المفضلة
أدوات البحث: أحصل على تغذية RSS – أرسل هذا البحث بالبريد الإلكتروني – حفظ البحث – جدول التنبيهات: لا شيء