al42and / cuda-smiLinks
Simple utility to show nVidia GPU memory usage wrt. CUDA device IDs.
☆40Updated 8 years ago
Alternatives and similar repositories for cuda-smi
Users that are interested in cuda-smi are comparing it to the libraries listed below
Sorting:
- Boost.Python interface for NumPy; now deprecated in factor of the version in Boost.Python itself.☆149Updated 7 years ago
- Python Binding to NVRTC☆79Updated 11 months ago
- NumPy-compatible multidimensional arrays in C++☆161Updated 11 months ago
- Fork of magma to include more BLAS☆28Updated 8 years ago
- Library to manipulate tensors on the GPU.☆189Updated 2 years ago
- Utilities and example for using CMake to build Cython modules - migrated to scikit-build☆162Updated 5 years ago
- A portable high-level API with CUDA or OpenCL back-end☆55Updated 7 years ago
- Matrix library for CUDA in C++ and Python☆196Updated 8 years ago
- ArrayFire's Machine Learning Library.☆105Updated 6 years ago
- Boost::Python wrapper for parts of the Eigen c++ library☆33Updated 2 years ago
- Python wrappers for the NVIDIA cuDNN libraries☆141Updated 8 years ago
- Multi-core CPU implementation of deep learning for 2D and 3D sliding window convolutional networks (ConvNets).☆94Updated 8 years ago
- Scientific library for high-precision computations and research☆49Updated 7 years ago
- The Operator Vectorization Library, or OVL, is a python productivity library for defining high performance custom operators for the Tenso…☆68Updated 8 years ago
- Training a Tensorflow graph in C++☆26Updated 8 years ago
- A demonstration of a SWIG wrapper for a C++ library containing Eigen matrix types for use with Python and NumPy☆51Updated 3 years ago
- Microway's improved version of GPU Burn☆89Updated last year
- C++ library for numerical arrays and tensor objects and operations with them, designed to allow Matlab-style programming.☆52Updated 2 years ago
- Example python (numpy) -- CUDA installable package with a C-extension library☆143Updated 6 years ago
- Generating Families of Practical Fast Matrix Multiplication Algorithms☆12Updated 8 years ago
- Code examples for CUDA and OpenACC☆34Updated last year
- A Raspberry Pi GPU-accelerated implementation of the GEMM matrix-multiply function☆88Updated 11 years ago
- Convolutional neural networks C++ framework with CPU and GPU (CUDA) backends☆182Updated 6 years ago
- CMake Examples (CMake, CMake+CUDA, CMake+CUDA+PandaRoot)☆42Updated 12 years ago
- A Light-weight and Fast Template Matrix Library☆134Updated 12 years ago
- Greentea LibDNN - a universal convolution implementation supporting CUDA and OpenCL☆137Updated 8 years ago
- kmeans☆55Updated 9 years ago
- ViNN - an OpenCL accelerated neural networks library☆33Updated 9 years ago
- Tools and extensions for CUDA profiling☆65Updated 5 years ago
- Range-based for loops to iterate over a range of numbers or values☆35Updated 8 years ago