kriegalex / vscode-cudaLinks
CUDA C++ syntax support & snippets for VSCode
☆21Updated 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:
- Scalable GPU Kernel Fission/Fusion Transformation for Memory-Bound Kernels☆14Updated 10 years ago
- THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE.☆85Updated last year
- CSR-based SpGEMM on nVidia and AMD GPUs☆46Updated 9 years ago
- An unofficial cuda assembler, for all generations of SASS, hopefully :)☆84Updated 2 years ago
- A Deep Learning Framework customized for Sunway TaihuLight☆41Updated 7 years ago
- Optimized half precision gemm assembly kernels (deprecated due to ROCm)☆47Updated 8 years ago
- a c++/cuda template library for tensor lazy evaluation☆164Updated 2 years ago
- A GPU benchmark suite for assessing on-chip GPU memory bandwidth☆109Updated 8 years ago
- Online CUDA Occupancy Calculator☆81Updated 4 years ago
- Subpart source code of of deepcore v0.7☆27Updated 5 years ago
- TVM stack: exploring the incredible explosion of deep-learning frameworks and how to bring them together☆64Updated 7 years ago
- CUDA Tensor Transpose (cuTT) library☆53Updated 8 years ago
- ☆71Updated 11 years ago
- CUDA implementation of the fundamental sum reduce operation. Aims to be as optimized as reasonable.☆39Updated 8 years ago
- Fast CUDA Kernels for ResNet Inference.☆182Updated 6 years ago
- Emulating DMA Engines on GPUs for Performance and Portability☆41Updated 10 years ago
- flexible-gemm conv of deepcore☆17Updated 6 years ago
- tophub autotvm log collections☆69Updated 3 years ago
- Source code that accompanies The CUDA Handbook.☆559Updated 3 months ago
- TensorFlow and TVM integration☆36Updated 5 years ago
- Artifact for 'Register Optimizations for Stencils on GPUs'☆10Updated 7 years ago
- Instructions, Docker images, and examples for Nsight Compute and Nsight Systems☆134Updated 5 years ago
- Multiple 1-stencil implementations using nvidia cuda.☆13Updated 8 years ago
- Learning and practice of high performance computing (CUDA, Vulkan, OpenCL, OpenMP, TBB, SSE/AVX, NEON, MPI, coroutines, etc. )☆62Updated 9 months ago
- study of cutlass☆22Updated last year
- Kernel Fusion and Runtime Compilation Based on NNVM☆72Updated 9 years ago
- Example of using pytorch's open device registration API☆31Updated 3 years ago
- MatMul Performance Benchmarks for a Single CPU Core comparing both hand engineered and codegen kernels.☆138Updated 2 years ago
- Samples demonstrating how to use the Compute Sanitizer Tools and Public API☆93Updated 2 years ago
- project implements minimal functionality for real-time 3D cardiac electrophysiology simulation☆16Updated 9 years ago