GPGPU Parallel User-User Collaborative Filtering System in CUDA C
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Updated
Dec 28, 2017 - C++
GPGPU Parallel User-User Collaborative Filtering System in CUDA C
sample programs implemented using cuda (gpu)
Implementation of a linear classifier on the Google California Housing Data Set in CUDA
Easy GPU programming for Javascript, Python, and beyond!
Pip3 TensorFlow C++ Custom Ops (NVIDIA GPU) - prototype
Cross platform, cross vendor GPU code without the hassle of external tools or compilers.
Tools : CUDA C, Multicore Programming, Batch Scripting, MATLAB
bilibili视频【CUDA 12.1 并行编程入门(Rust语言版)】配套代码
Repo for programs used in LNCC Summer Program 2023, an event of the National Laboratory of Scientific Computing (LNCC)
An imperfect example of some light effects modeling using Metal.
Physically-based path tracer, capable of rendering globally illuminated scenes with the power of parallelization. Includes a denoiser that uses G-buffers to guide a smoothing filter.
Hardware accelerated Fractals
Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
Comprarison of vector operation using CPU vs GPU using Nvidia Cuda
⚡Code progressive and robust models with accurate predictions & powerful GPU/TPU analysis with TensorFlow
Exploration of Graphics Programming with Rust.
Cocaine is a multi-platform C library that can be used to accelerate large workloads/big data/anything really with the power of a GPU with ease. A .NET wrapper is available in the link below.
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