All Projects → Libcudacxx → Similar Projects or Alternatives

1373 Open source projects that are alternatives of or similar to Libcudacxx

Thrust
The C++ parallel algorithms library.
Stars: ✭ 3,595 (+93.18%)
Mutual labels:  nvidia, gpu, cuda, cpp20, cxx11, cxx14, cxx17, cxx20, nvidia-hpc-sdk
cxx
🔌 Configuration-free utility for building, testing and packaging executables written in C++. Can auto-detect compilation flags based on includes, via the package system and pkg-config.
Stars: ✭ 87 (-95.33%)
Mutual labels:  cpp20, cpp23, cxx20, cxx23
Gmonitor
gmonitor is a GPU monitor (Nvidia only at the moment)
Stars: ✭ 169 (-90.92%)
Mutual labels:  nvidia, gpu, cuda
Genomeworks
SDK for GPU accelerated genome assembly and analysis
Stars: ✭ 215 (-88.45%)
Mutual labels:  nvidia, gpu, cuda
Cuda
Experiments with CUDA and Rust
Stars: ✭ 31 (-98.33%)
Mutual labels:  nvidia, gpu, cuda
Cudasift
A CUDA implementation of SIFT for NVidia GPUs (1.2 ms on a GTX 1060)
Stars: ✭ 555 (-70.18%)
Mutual labels:  nvidia, gpu, cuda
Coriander
Build NVIDIA® CUDA™ code for OpenCL™ 1.2 devices
Stars: ✭ 665 (-64.27%)
Mutual labels:  nvidia, llvm, gpu
Cub
Cooperative primitives for CUDA C++.
Stars: ✭ 883 (-52.55%)
Mutual labels:  nvidia, gpu, cuda
Deep Diamond
A fast Clojure Tensor & Deep Learning library
Stars: ✭ 288 (-84.52%)
Mutual labels:  nvidia, gpu, cuda
Parenchyma
An extensible HPC framework for CUDA, OpenCL and native CPU.
Stars: ✭ 71 (-96.18%)
Mutual labels:  nvidia, gpu, cuda
Nvidia Modded Inf
Modified nVidia .inf files to run drivers on all video cards, research & telemetry free drivers
Stars: ✭ 227 (-87.8%)
Mutual labels:  nvidia, gpu, cuda
Optix Path Tracer
OptiX Path Tracer
Stars: ✭ 60 (-96.78%)
Mutual labels:  nvidia, gpu, cuda
Cuml
cuML - RAPIDS Machine Learning Library
Stars: ✭ 2,504 (+34.55%)
Mutual labels:  nvidia, gpu, cuda
Gprmax
gprMax is open source software that simulates electromagnetic wave propagation using the Finite-Difference Time-Domain (FDTD) method for numerical modelling of Ground Penetrating Radar (GPR)
Stars: ✭ 268 (-85.6%)
Mutual labels:  nvidia, gpu, cuda
Komputation
Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.
Stars: ✭ 295 (-84.15%)
Mutual labels:  nvidia, gpu, cuda
Macos Egpu Cuda Guide
Set up CUDA for machine learning (and gaming) on macOS using a NVIDIA eGPU
Stars: ✭ 187 (-89.95%)
Mutual labels:  nvidia, gpu, cuda
Pyopencl
OpenCL integration for Python, plus shiny features
Stars: ✭ 790 (-57.55%)
Mutual labels:  nvidia, gpu, cuda
peakperf
Achieve peak performance on x86 CPUs and NVIDIA GPUs
Stars: ✭ 33 (-98.23%)
Mutual labels:  gpu, cuda, nvidia
opencv-cuda-docker
Dockerfiles for OpenCV compiled with CUDA, opencv_contrib modules and Python 3 bindings
Stars: ✭ 55 (-97.04%)
Mutual labels:  gpu, cuda, nvidia
uberswitch
A header-only, unobtrusive, almighty alternative to the C++ switch statement that looks just like the original.
Stars: ✭ 83 (-95.54%)
Mutual labels:  cxx11, cxx14, cxx17
Xmrminer
🐜 A CUDA based miner for Monero
Stars: ✭ 158 (-91.51%)
Mutual labels:  nvidia, gpu, cuda
Deep Learning Boot Camp
A community run, 5-day PyTorch Deep Learning Bootcamp
Stars: ✭ 1,270 (-31.76%)
Mutual labels:  nvidia, gpu, cuda
Plotoptix
Data visualisation in Python based on OptiX 7.2 ray tracing framework.
Stars: ✭ 252 (-86.46%)
Mutual labels:  nvidia, gpu, cuda
fameta-counter
Compile time counter that works with all major modern compilers
Stars: ✭ 34 (-98.17%)
Mutual labels:  cxx11, cxx14, cxx17
Cuda Api Wrappers
Thin C++-flavored wrappers for the CUDA Runtime API
Stars: ✭ 362 (-80.55%)
Mutual labels:  nvidia, gpu, cuda
Ilgpu
ILGPU JIT Compiler for high-performance .Net GPU programs
Stars: ✭ 374 (-79.9%)
Mutual labels:  nvidia, gpu, cuda
Lighthouse2
Lighthouse 2 framework for real-time ray tracing
Stars: ✭ 542 (-70.88%)
Mutual labels:  gpu, cuda
Cupy
NumPy & SciPy for GPU
Stars: ✭ 5,625 (+202.26%)
Mutual labels:  gpu, cuda
Stdgpu
stdgpu: Efficient STL-like Data Structures on the GPU
Stars: ✭ 531 (-71.47%)
Mutual labels:  gpu, cuda
Thundergbm
ThunderGBM: Fast GBDTs and Random Forests on GPUs
Stars: ✭ 586 (-68.51%)
Mutual labels:  gpu, cuda
Trtorch
PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT
Stars: ✭ 583 (-68.67%)
Mutual labels:  nvidia, cuda
Speedtorch
Library for faster pinned CPU <-> GPU transfer in Pytorch
Stars: ✭ 615 (-66.95%)
Mutual labels:  gpu, cuda
Gunrock
High-Performance Graph Primitives on GPUs
Stars: ✭ 718 (-61.42%)
Mutual labels:  gpu, cuda
Accelerate
Embedded language for high-performance array computations
Stars: ✭ 751 (-59.65%)
Mutual labels:  llvm, cuda
Tf Coriander
OpenCL 1.2 implementation for Tensorflow
Stars: ✭ 775 (-58.36%)
Mutual labels:  nvidia, gpu
Arrayfire Rust
Rust wrapper for ArrayFire
Stars: ✭ 525 (-71.79%)
Mutual labels:  gpu, cuda
Chainer
A flexible framework of neural networks for deep learning
Stars: ✭ 5,656 (+203.92%)
Mutual labels:  gpu, cuda
Ethereum nvidia miner
💰 USB flash drive ISO image for Ethereum, Zcash and Monero mining with NVIDIA graphics cards and Ubuntu GNU/Linux (headless)
Stars: ✭ 772 (-58.52%)
Mutual labels:  nvidia, cuda
Marian
Fast Neural Machine Translation in C++
Stars: ✭ 777 (-58.25%)
Mutual labels:  gpu, cuda
Wheels
Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)
Stars: ✭ 891 (-52.12%)
Mutual labels:  gpu, cuda
Scikit Cuda
Python interface to GPU-powered libraries
Stars: ✭ 803 (-56.85%)
Mutual labels:  gpu, cuda
Jetsonjs
Embed a JavaScript/WebGL application on a Nvidia Jetson TX2 and stream the results through websockets. It does not rely on CUDA/Jetpack. HDMI touchscreen, virtual keyboard, GPIO control, wifi config are included.
Stars: ✭ 18 (-99.03%)
Mutual labels:  nvidia, gpu
Neanderthal
Fast Clojure Matrix Library
Stars: ✭ 927 (-50.19%)
Mutual labels:  gpu, cuda
Graphvite
GraphVite: A General and High-performance Graph Embedding System
Stars: ✭ 865 (-53.52%)
Mutual labels:  gpu, cuda
Gpudashboard
A simple dashboard for NVIDIA GPU
Stars: ✭ 37 (-98.01%)
Mutual labels:  nvidia, gpu
Nvidia libs test
Tests and benchmarks for cudnn (and in the future, other nvidia libraries)
Stars: ✭ 36 (-98.07%)
Mutual labels:  gpu, cuda
Qualia2.0
Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.
Stars: ✭ 41 (-97.8%)
Mutual labels:  gpu, cuda
Rustacuda
Rusty wrapper for the CUDA Driver API
Stars: ✭ 511 (-72.54%)
Mutual labels:  gpu, cuda
Numba
NumPy aware dynamic Python compiler using LLVM
Stars: ✭ 7,090 (+280.98%)
Mutual labels:  llvm, cuda
Carlsim3
CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.
Stars: ✭ 52 (-97.21%)
Mutual labels:  gpu, cuda
Multiple Smi
Python bindings for pyNVML and psutil library over network
Stars: ✭ 49 (-97.37%)
Mutual labels:  nvidia, gpu
Heteroflow
Concurrent CPU-GPU Programming using Task Models
Stars: ✭ 57 (-96.94%)
Mutual labels:  gpu, cuda
Ggnn
GGNN: State of the Art Graph-based GPU Nearest Neighbor Search
Stars: ✭ 63 (-96.61%)
Mutual labels:  gpu, cuda
Tsne Cuda
GPU Accelerated t-SNE for CUDA with Python bindings
Stars: ✭ 1,120 (-39.82%)
Mutual labels:  gpu, cuda
Arboretum
Gradient Boosting powered by GPU(NVIDIA CUDA)
Stars: ✭ 64 (-96.56%)
Mutual labels:  gpu, cuda
Pycuda
CUDA integration for Python, plus shiny features
Stars: ✭ 1,112 (-40.25%)
Mutual labels:  gpu, cuda
Cudart.jl
Julia wrapper for CUDA runtime API
Stars: ✭ 75 (-95.97%)
Mutual labels:  gpu, cuda
Nplusminer
NPlusMiner + GUI | NVIDIA/AMD/CPU miner | AI | Autoupdate | MultiRig remote management
Stars: ✭ 75 (-95.97%)
Mutual labels:  nvidia, gpu
Mpr
Reference implementation for "Massively Parallel Rendering of Complex Closed-Form Implicit Surfaces" (SIGGRAPH 2020)
Stars: ✭ 84 (-95.49%)
Mutual labels:  gpu, cuda
Waifu2x Ncnn Vulkan
waifu2x converter ncnn version, runs fast on intel / amd / nvidia GPU with vulkan
Stars: ✭ 1,258 (-32.4%)
Mutual labels:  nvidia, gpu
1-60 of 1373 similar projects