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245 search results found

A scalable parallel implementation of Empirical Dynamic Modeling

Pla Reverse Gui ⭐ 8

PySide6-based GUI for Seed Cracking and RNG w/o CFW assistance in Pokemon: Legends Arceus

CUDA Finite Difference Library

The Clex Elixir package wraps the excellent Erlang NIF provided by tonyrog/cl

Gpu Desktop Calculator ⭐ 7

Viscoplastic Lbm ⭐ 7

LBM (Lattice Boltzmann method) software for flow simulation, using GPU acceleration

A CUDA implementation of the transpose-free Quasi-Minimal Residual method

Gpuschool2018 ⭐ 7

Material for the July 2018 "Introduction to GPU programming" summer school at the University of Warwick

Image Captioning ⭐ 7

Image Captioning is the process of generating textual description of an image.It uses both Natural language Processing and Computer Vision to generate the captions.

StiffMa: Fast finite element STIFFness MAtrix generation in MATLAB by using GPU computing.

Open Source Code for Advanced Radiation Simulation

GPU accelerated earth observation data processors

Cuda Proj Tmpl ⭐ 7

A minimal cmake based project skeleton for developping a CUDA application

Gpu Normal Computation ⭐ 7

Performing normal computation for big point clouds on the gpu using openCL

Ats Stats ⭐ 7

Demonstration of GPU-accelerated statistical functions in ATS

Julia Shaders Threejs ⭐ 7

Visualizador de shaders fractal Julia & Mandelbrot con Three.js

hopfield network implementation in C++

Gpu Cuda Self Organising Maps ⭐ 7

🧠 💡 📈 A project based in High Performance Computing. This project was built using CUDA (Compute Unified Device Architecture), C++ (C Plus Plus), C, CMake and JetBrains CLion. The scenario of the project was a GPU-based implementation of the Self-Organising-Maps (S.O.M.) algorithm for Artificial Neural Networks (A.N.N.), with the support of CUDA (Compute Unified Device Architecture), using its offered parallel optimisations and tunings. The final goal of the project was to test the several GPU

Course materials for AMS 250 (Introduction to High Performance Computing) at UC Santa Cruz

Containers Benchs ⭐ 6

Just a bunch of methods and scripts to test performances within containers

Tgvdenoising ⭐ 6

TGV based method for image denoising

Deep Learning Thesis ⭐ 6

Implementation of Thesis: Multimodal Emotion Recognition using Deep Learning Techniques: A novel system for real-world Emotion Recognition

Ai Edge Computing Tiny Embedded ⭐ 6

Videostabilization ⭐ 6

Video stabilization is a software-based approach (using OpenCV and its CUDA backend) in real-time to eliminating environmental effects (wind, heavy vehicle etc.) and enhance the visual performance that degrade video streaming quality.

Uraniumcompute ⭐ 6

A GPU accelerated parallel task scheduler for C++ and .NET

Mongo Musicbrainz ⭐ 6

DPLASMA is a highly optimized, accelerator-aware, implementation of a dense linear algebra package for distributed heterogeneous systems. It is designed to deliver sustained performance for distributed systems where each node featuring multiple sockets of multicore processors, and if available, accelerators, using the PaRSEC runtime as a backend.

Adaptiveopticscontrol ⭐ 6

Adaptive Optics Control Computation Engine (AOCCE)

Cuda Exercises Ntua ⭐ 6

Lab exercise of Parallel Processing course in NTUA regarding CUDA programming

The fastest gravitational (quasar) microlensing code on the planet. A parallel Barnes-Hut tree code optimized for GPUs, written in OpenCL

Hadoop Ai ⭐ 6

A Hadoop Version with GPU support for better AI job scheduling

SYCL accelerated BLAKE3 Hash Implementation

GPU-based DNA sequence alignment program using Smith-Waterman

Tensor math framework for machine learning

Julia.metal ⭐ 5

🎇 Render Julia Sets in real-time with Metal API on macOS

Mesh Reconstruction ⭐ 5

Reconstruct mesh from point cloud data generated by 3D scanner

A quick tool to compare GPU SKUs, and find the best provider for a given GPU!

Cuda Programming Tutorial ⭐ 5

Get started with CUDA programming

Multi-GPU Betweenness Centrality

A custom developed artificial neural network, which can grow over time and doesn't require normalization of input-values, within an as-a-Service structure.

Lbm2d_opencl ⭐ 5

D2Q9 BGK Lattice Boltzmann code written in OpenCL and Modern Fortran.

Bwlock Gpu ⭐ 5

Protecting Real-Time GPU Kernels on Integrated CPU-GPU SoC Platforms

Df Parallel ⭐ 5

Comparison of Dataframe libraries for parallel processing of large tabular files on CPU and GPU.

Convolutional Neural Network ⭐ 5

Computer vision framework based on deep learning and GPU programming

Cuda Toolkit ⭐ 5

🧶🌙 𝗖𝗨𝗗𝗔 𝗲𝘅𝗮𝗺𝗽𝗹𝗲𝘀 𝗳𝗼𝗿 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗿𝗼𝗯𝗹𝗲𝗺𝘀

201-245 of 245 search results

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