AndiH / CUDA-CMakeLinks
CMake Examples (CMake, CMake+CUDA, CMake+CUDA+PandaRoot)
☆42Updated 12 years ago
Alternatives and similar repositories for CUDA-CMake
Users that are interested in CUDA-CMake are comparing it to the libraries listed below
Sorting:
- A portable high-level API with CUDA or OpenCL back-end☆54Updated 7 years ago
- Example of how to use CUDA with CMake >= 3.8☆70Updated 2 months ago
- A Light-weight and Fast Template Matrix Library☆134Updated 12 years ago
- A machine vision library written in SYCL and C++ that shows performance-portable implementation of graph algorithms☆162Updated last year
- K-d tree implementation in C++☆58Updated 12 years ago
- CMake module collection☆30Updated 10 years ago
- This repository contains components that will support percolation via OpenCL and CUDA☆32Updated 3 years ago
- CMake find module for Intel Threading Building Blocks☆90Updated 7 years ago
- Execution primitives for C++☆153Updated 5 years ago
- Flexible Library for Efficient Numerical Solutions☆127Updated 2 months ago
- C++ convenience classes to be used with CUDA code, for both the host and the kerlel parts.☆55Updated 6 years ago
- Multi-dimensional C++ arrays which store objects in a Struct-of-Arrays (SoA) memory layout for efficient vectorization and zero address g…☆36Updated 4 years ago
- A GPU-based LZSS compression algorithm, highly tuned for NVIDIA GPGPUs and for streaming data, leveraging the respective strengths of CPU…☆35Updated 9 years ago
- Numerical optimization in C++☆40Updated 11 years ago
- Communication-Minimizing 2D Convolution in GPU Registers☆30Updated 11 years ago
- Launching collective tasks in bulk☆37Updated 5 years ago
- NumPy-compatible multidimensional arrays in C++☆163Updated 10 months ago
- Set of basic classes (vector, matrix, images and memory array) for CPU and GPU☆17Updated 4 years ago
- Easy to run kernels using OpenCL☆185Updated 4 months ago
- A class for performing principal component analysis using Eigen library☆30Updated 8 years ago
- Multi-dimensional array programming framework for C++ and multi-GPU CUDA applications☆28Updated 8 years ago
- Simple utilities to enable code reuse and portability between CUDA C/C++ and standard C/C++.☆348Updated 3 years ago
- This example builds on the parallel-forall repo separate compilation example by adding CMake to it.☆17Updated 7 years ago
- Compute morton keys using a look-up table generated at compile-time.☆31Updated 8 years ago
- A matrix and array operation library on GPU with Eigen compatible interface☆98Updated 7 years ago
- libkdtree++ is an STL-like C++ template container implementation of k-dimensional space sorting, using a kd-tree. It sports a theoretical…☆73Updated 6 months ago
- Parallel Tasking Library (PTL) - Lightweight C++11 mutilthreading tasking system featuring thread-pool, task-groups, and lock-free task q…☆48Updated 9 months ago
- Utilities for CUDA programming☆41Updated 6 years ago
- HDF5 C++ wrapper☆38Updated last year
- data-parallel out-of-core library☆50Updated last week