Search Results - McDanel, Bradley

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  1. 1
    Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices

    Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices by Teerapittayanon, Surat, McDanel, Bradley, Kung, H. T.

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  2. 2
    FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding

    FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding by Qian Zhang, Sai, McDanel, Bradley, Kung, H. T.

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  3. 3
    Accelerating DNN Training with Structured Data Gradient Pruning

    Accelerating DNN Training with Structured Data Gradient Pruning by McDanel, Bradley, Dinh, Helia, Magallanes, John

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  4. 4
    Dynamic Patch Sampling for Efficient Training and Dynamic Inference in Vision Transformers

    Dynamic Patch Sampling for Efficient Training and Dynamic Inference in Vision Transformers by McDanel, Bradley, Ngoc Huynh, Chi Phuong

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  5. 5
    StitchNet: Composing Neural Networks from Pre-Trained Fragments

    StitchNet: Composing Neural Networks from Pre-Trained Fragments by Teerapittayanon, Surat, Comiter, Marcus, McDanel, Bradley, Kung, H.T.

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  6. 6
    Saturation RRAM Leveraging Bit-Level Sparsity Resulting from Term Quantization

    Saturation RRAM Leveraging Bit-Level Sparsity Resulting from Term Quantization by McDanel, Bradley, Zhang, Sai Qian, Kung, H. T.

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  7. 7
    AMUSD: Asynchronous Multi-Device Speculative Decoding for LLM Acceleration

    AMUSD: Asynchronous Multi-Device Speculative Decoding for LLM Acceleration by McDanel, Bradley

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  8. 8
    Systolic Building Block for Logic-on-Logic 3D-IC Implementations of Convolutional Neural Networks

    Systolic Building Block for Logic-on-Logic 3D-IC Implementations of Convolutional Neural Networks by Kung, H. T., McDanel, Bradley, Zhang, Sai Qian, Wang, C. T., Cai, Jin, Chen, C. Y., Chang, Victor C. Y., Chen, M. F., Sun, Jack Y. C., Yu, Douglas

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  9. 9
    Accelerating Vision Transformer Training via a Patch Sampling Schedule

    Accelerating Vision Transformer Training via a Patch Sampling Schedule by McDanel, Bradley, Huynh, Chi Phuong

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  10. 10
    Maestro: A Memory-on-Logic Architecture for Coordinated Parallel Use of Many Systolic Arrays

    Maestro: A Memory-on-Logic Architecture for Coordinated Parallel Use of Many Systolic Arrays by Kung, H. T., McDanel, Bradley, Zhang, Sai Qian, Dong, Xin, Chen, Chih Chiang

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  11. 11
    Accelerating DNN Training with Structured Data Gradient Pruning

    Accelerating DNN Training with Structured Data Gradient Pruning by McDanel, Bradley, Dinh, Helia, Magallanes, John

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  12. 12
    FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding

    FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding by Sai Qian Zhang, McDanel, Bradley, Kung, H T

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  13. 13
    Term Revealing: Furthering Quantization at Run Time on Quantized DNNs

    Term Revealing: Furthering Quantization at Run Time on Quantized DNNs by Kung, H T, McDanel, Bradley, Sai Qian Zhang

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  14. 14
    Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference

    Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference by McDanel, Bradley, Teerapittayanon, Surat, Kung, H T

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  15. 15
    BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks

    BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks by Teerapittayanon, Surat, McDanel, Bradley, Kung, H T

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  16. 16
    Embedded Binarized Neural Networks

    Embedded Binarized Neural Networks by McDanel, Bradley, Teerapittayanon, Surat, Kung, H T

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  17. 17
    Distributed Deep Neural Networks over the Cloud, the Edge and End Devices

    Distributed Deep Neural Networks over the Cloud, the Edge and End Devices by Teerapittayanon, Surat, McDanel, Bradley, Kung, H T

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  18. 18
    Full-stack Optimization for Accelerating CNNs with FPGA Validation

    Full-stack Optimization for Accelerating CNNs with FPGA Validation by McDanel, Bradley, Sai Qian Zhang, Kung, H T, Dong, Xin

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  19. 19
    Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization

    Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization by Kung, H T, McDanel, Bradley, Sai Qian Zhang

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  20. 20
    Sparse Coding Trees with application to emotion classification

    Sparse Coding Trees with application to emotion classification by Hsieh-Chung Chen, Comiter, Marcus Z., Kung, H. T., McDanel, Bradley

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