mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2025-04-24 16:51:22 +01:00
35 lines
1.5 KiB
Markdown
35 lines
1.5 KiB
Markdown
# eigenvalues - Eigenvalues
|
|
|
|
## Description
|
|
|
|
The computation of all or a subset of all eigenvalues is an important problem in Linear Algebra, statistics, physics, and many other fields. This sample demonstrates a parallel implementation of a bisection algorithm for the computation of all eigenvalues of a tridiagonal symmetric matrix of arbitrary size with CUDA.
|
|
|
|
## Key Concepts
|
|
|
|
Linear Algebra
|
|
|
|
## Supported SM Architectures
|
|
|
|
[SM 5.0 ](https://developer.nvidia.com/cuda-gpus) [SM 5.2 ](https://developer.nvidia.com/cuda-gpus) [SM 5.3 ](https://developer.nvidia.com/cuda-gpus) [SM 6.0 ](https://developer.nvidia.com/cuda-gpus) [SM 6.1 ](https://developer.nvidia.com/cuda-gpus) [SM 7.0 ](https://developer.nvidia.com/cuda-gpus) [SM 7.2 ](https://developer.nvidia.com/cuda-gpus) [SM 7.5 ](https://developer.nvidia.com/cuda-gpus) [SM 8.0 ](https://developer.nvidia.com/cuda-gpus) [SM 8.6 ](https://developer.nvidia.com/cuda-gpus) [SM 8.7 ](https://developer.nvidia.com/cuda-gpus) [SM 8.9 ](https://developer.nvidia.com/cuda-gpus) [SM 9.0 ](https://developer.nvidia.com/cuda-gpus)
|
|
|
|
## Supported OSes
|
|
|
|
Linux, Windows
|
|
|
|
## Supported CPU Architecture
|
|
|
|
x86_64, armv7l
|
|
|
|
## CUDA APIs involved
|
|
|
|
### [CUDA Runtime API](http://docs.nvidia.com/cuda/cuda-runtime-api/index.html)
|
|
cudaMalloc, cudaDeviceSynchronize, cudaMemcpy, cudaFree
|
|
|
|
## Prerequisites
|
|
|
|
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
|
|
|
|
## References (for more details)
|
|
|
|
[whitepaper](./doc/eigenvalues.pdf)
|