variable-precision-gpu

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1. CNN CNNPublic

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   Implementation of a simple CNN using CUDA

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2. gpgpu-sim gpgpu-simPublic

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   GPGPU-Sim provides a detailed simulation model of a contemporary GPU running CUDA and/or OpenCL workloads and now includes an integrated (and validated) energy model, GPUWattch.

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3. MLP MLPPublic

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   Multilayer Perceptron classifying MNIST dataset using CUDA to accelerate

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4. sim-dl-runner sim-dl-runnerPublic

   Manage execution of deep learning programs on GPGPU-Sim

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5. CNN2 CNN2Public

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   Concise neural network with C++ and CUDA

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6. MLP2 MLP2Public

   Forked from jpowie01/CUDA-DNN-MNIST

   Example C++ CUDA implementation for training Neural Network on MNIST dataset

   Jupyter Notebook