kriegalex / vscode-cudaLinks
CUDA C++ syntax support & snippets for VSCode
☆20Updated 4 years ago
Alternatives and similar repositories for vscode-cuda
Users that are interested in vscode-cuda are comparing it to the libraries listed below
Sorting:
- THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE.☆84Updated last year
- Learning and practice of high performance computing (CUDA, Vulkan, OpenCL, OpenMP, TBB, SSE/AVX, NEON, MPI, coroutines, etc. )☆61Updated 6 months ago
- CSR-based SpGEMM on nVidia and AMD GPUs☆46Updated 9 years ago
- Online CUDA Occupancy Calculator☆80Updated 3 years ago
- CUDA Tensor Transpose (cuTT) library☆53Updated 8 years ago
- CUDA implementation of the fundamental sum reduce operation. Aims to be as optimized as reasonable.☆39Updated 8 years ago
- Samples demonstrating how to use the Compute Sanitizer Tools and Public API☆88Updated last year
- A GPU benchmark suite for assessing on-chip GPU memory bandwidth☆106Updated 8 years ago
- A Deep Learning Framework customized for Sunway TaihuLight☆41Updated 6 years ago
- Efficient Top-K implementation on the GPU☆186Updated 6 years ago
- This is a tuned sparse matrix dense vector multiplication(SpMV) library☆21Updated 9 years ago
- Distributed Communication-Optimal Matrix-Matrix Multiplication Algorithm☆209Updated 4 months ago
- An unofficial cuda assembler, for all generations of SASS, hopefully :)☆84Updated 2 years ago
- CSR5-based SpMV on CPUs, GPUs and Xeon Phi☆107Updated last year
- study of cutlass☆22Updated 10 months ago
- A highly efficient library for GEMM operations on Sunway TaihuLight☆18Updated 5 years ago
- Emulating DMA Engines on GPUs for Performance and Portability☆41Updated 10 years ago
- Instructions, Docker images, and examples for Nsight Compute and Nsight Systems☆132Updated 5 years ago
- ☆14Updated 3 years ago
- Efficient Distributed GPU Programming for Exascale, an SC/ISC Tutorial☆301Updated 3 weeks ago
- Efficient SpGEMM on GPU using CUDA and CSR☆57Updated 2 years ago
- MatMul Performance Benchmarks for a Single CPU Core comparing both hand engineered and codegen kernels.☆134Updated 2 years ago
- a c++/cuda template library for tensor lazy evaluation☆163Updated 2 years ago
- portDNN is a library implementing neural network algorithms written using SYCL☆113Updated last year
- TVM stack: exploring the incredible explosion of deep-learning frameworks and how to bring them together☆64Updated 7 years ago
- Dissecting NVIDIA GPU Architecture☆105Updated 3 years ago
- Matrix multiplication on GPUs for matrices stored on a CPU. Similar to cublasXt, but ported to both NVIDIA and AMD GPUs.☆32Updated 5 months ago
- CLTune: An automatic OpenCL & CUDA kernel tuner☆182Updated 2 years ago
- A GPU benchmark tool for evaluating GPUs and CPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL, OpenMP)☆421Updated 8 months ago
- Intel Data Parallel C++ (and SYCL 2020) Tutorial.☆95Updated 3 years ago