Pinned Repositories
CNN
Implementation of a simple CNN using CUDA
CNN2
Concise neural network with C++ and CUDA
gpgpu-sim
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.
MLP
Multilayer Perceptron classifying MNIST dataset using CUDA to accelerate
MLP2
Example C++ CUDA implementation for training Neural Network on MNIST dataset
root
A Variable Precision GPU Architecture for Deep Learning
sim-dl-runner
Manage execution of deep learning programs on GPGPU-Sim
variable-precision-gpu's Repositories
variable-precision-gpu/CNN
Implementation of a simple CNN using CUDA
variable-precision-gpu/CNN2
Concise neural network with C++ and CUDA
variable-precision-gpu/MLP
Multilayer Perceptron classifying MNIST dataset using CUDA to accelerate
variable-precision-gpu/sim-dl-runner
Manage execution of deep learning programs on GPGPU-Sim
variable-precision-gpu/gpgpu-sim
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.
variable-precision-gpu/MLP2
Example C++ CUDA implementation for training Neural Network on MNIST dataset
variable-precision-gpu/root
A Variable Precision GPU Architecture for Deep Learning