A backpropagation neural network implemented in CUDA
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Updated
Feb 5, 2017 - Cuda
A backpropagation neural network implemented in CUDA
Conway's genetic laws computed in parallel with OpenMP and OpenCL. With benchmarks for OpenMP, OpenCL (CPU & GPU) as well as sequential execution.
Repositorio dedicado a la asignatura de GPUs y Aceleradores
It's C++ helloworld-like program with OpenCL. Two matrices are multiplied by cpu or gpu.
Parallel identification of strongly connected components on GPU
AnvilKit tames Metal. Very much WIP.
just a repo to collect my stuff related to gpu computing
MedTune infrastructure tools kit - Bare metal & cloud
GPU-enabled Image classification python app with 102 flower classes
CUDA examples
Parallelized histogram equalization for gray scale images using GPUs in CUDA C++ in a consumer-producer aproach (streams, RDMA, InfiBands)
A library for simplified distributed computing across any heterogeneous architectures (cpu + gpu), with tensor support, and polymorphic data layouts for optimal performance! Ripple enables you to scale quickly without sacrificing performance!
Demonstration of GPU-accelerated statistical functions in ATS
TensorFlow neural style transfert computed on GPU
Parallel Computations on GPU - Project - N-Body-OpenACC
LeNet-5
Custom YOLO V5 Model .Deployed model .API enabled.
Agent based slime simulation - Actually this framework can be useful for any kind of agent-based simulation, as boids and similar. Made with OpenFrameworks.
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