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Accelerate Machine Learning Workloads using TVM and OpenCL ML SDK on Qualcomm AdrenoTM GPUs

Published:18 April 2023Publication History

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References

  1. [1] Tianqi Chen, et al, TVM: An Automated End-to-End Optimizing Compiler for Deep Learning, OSDI 2018.Google ScholarGoogle Scholar
  2. [2] Qualcomm Technologies, Inc., Qualcomm® SnapdragonTM Mobile Platform OpenCL General Programming and Optimization (80-NB295-11 C), 2017. https://developer.qualcomm.com/qfile/33472/80-nb295-11 c.pdfGoogle ScholarGoogle Scholar
  3. [3] Qualcomm Technologies, Inc., OpenCL ML SDK https://developer.qualcomm.com/blog/accelerate-your-models-our-opencl-ml-sdkGoogle ScholarGoogle Scholar
  4. [4] Zhi Chen and Cody Yu, Amazon Web Services, Inc, Bring Your Own Codegen https://tvm.apache.org/2020/07/15/how-to-bring-your-own-codegen-to-tvmGoogle ScholarGoogle Scholar
  5. [5] Jiang, Bolan & Lin, Jeng-Hau & Golikeri, Adarsh & He, Li & Wang, Hongqiang & Bourd, Alex. (2020). Training Machine Learning Network on Adreno Mobile GPUs Using OpenCL. 1-2. 10.1145/3388333.3388666.Google ScholarGoogle Scholar
  6. [6] He, Li & Wang, Hongqiang & Golikeri, Adarsh & Bourd, Alex & Adarshg, Iih. (2020). TVM for Adreno GPUs. 1-2. 10.1145/3388333.3388667.Google ScholarGoogle Scholar
  7. [7] Reddy, Siva & Wang, Hongqiang & Golikeri, Adarsh & Bourd, Alex. (2021). Machine learning training with Tensor Virtual Machine (TVM) and Adreno GPUs. 1. 10.1145/3456669.3456702.Google ScholarGoogle Scholar
  8. [8] Reddy, Siva & Wang, Hongqiang & Bourd, Alex & Golikeri, Adarsh & Calidas, Balaji. (2022). OpenCLML Integration with TVM. 1-1. 10.1145/3529538.3530003.Google ScholarGoogle Scholar

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          IWOCL '23: Proceedings of the 2023 International Workshop on OpenCL
          April 2023
          133 pages
          ISBN:9798400707452
          DOI:10.1145/3585341

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          Publication History

          • Published: 18 April 2023

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