xnd-project / cuda-benchmarksLinks
Collection of CUDA benchmarks, with a focus on unified vs. explicit memory management.
☆20Updated 6 years ago
Alternatives and similar repositories for cuda-benchmarks
Users that are interested in cuda-benchmarks are comparing it to the libraries listed below
Sorting:
- Learning and practice of high performance computing (CUDA, Vulkan, OpenCL, OpenMP, TBB, SSE/AVX, NEON, MPI, coroutines, etc. )☆62Updated 10 months ago
- Learn OpenCL step by step.☆138Updated 3 years ago
- a c++/cuda template library for tensor lazy evaluation☆164Updated 2 years ago
- THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE.☆85Updated last year
- clone of https://code.google.com/p/opencl-book-samples (there's an official repo here https://github.com/bgaster/opencl-book-samples)☆48Updated 12 years ago
- flexible-gemm conv of deepcore☆17Updated 6 years ago
- tophub autotvm log collections☆69Updated 3 years ago
- Benchmark of TVM quantized model on CUDA☆112Updated 5 years ago
- Fast CUDA Kernels for ResNet Inference.☆182Updated 6 years ago
- Code for testing the native float16 matrix multiplication performance on Tesla P100 and V100 GPU based on cublasHgemm☆35Updated 6 years ago
- heterogeneity-aware-lowering-and-optimization☆257Updated 2 years ago
- ICML2017 MEC: Memory-efficient Convolution for Deep Neural Network C++实现(非官方)☆17Updated 6 years ago
- how to design cpu gemm on x86 with avx256, that can beat openblas.☆73Updated 6 years ago
- ☆26Updated 9 years ago
- Winograd-based convolution implementation in OpenCL☆28Updated 9 years ago
- ☆43Updated 8 years ago
- An unofficial cuda assembler, for all generations of SASS, hopefully ：）☆84Updated 2 years ago
- A GPU benchmark suite for assessing on-chip GPU memory bandwidth☆109Updated 8 years ago
- ☆97Updated 4 years ago
- CUDA Tensor Transpose (cuTT) library☆53Updated 8 years ago
- CLTune: An automatic OpenCL & CUDA kernel tuner☆185Updated 3 years ago
- Subpart source code of of deepcore v0.7☆27Updated 5 years ago
- A way to use cuda to accelerate top k algorithm☆30Updated 8 years ago
- CUDA official sample codes☆371Updated 10 years ago
- Example of how to use CUDA with CMake >= 3.8☆70Updated 8 months ago
- TVM stack: exploring the incredible explosion of deep-learning frameworks and how to bring them together☆64Updated 7 years ago
- ☆10Updated 5 years ago
- Instructions, Docker images, and examples for Nsight Compute and Nsight Systems☆135Updated 5 years ago
- Tengine gemm tutorial, step by step☆13Updated 4 years ago
- study of cutlass☆22Updated last year