Max Matrix Size for GPU Acceleration

18 次查看（过去 30 天）
Jason
Jason 2013-3-19
Will the amount of on card GPU memory significantly limit the benefits of GPU acceleration for very large matrix multiplication? Specifically, I need to multiply matrices (double precision) with between 2 and 4 x 10^9 elements which takes 16-32GB of memory. Will I see a significant increase in performance by installing a single Nvidia GTX Titan with 6GB of memory, or will the large matrix size negate the benefits of GPU acceleration?

请先登录，再回答此问题。

采纳的回答

Edric Ellis
Edric Ellis 2013-3-19
The gpuArray support in Parallel Computing Toolbox cannot support arrays larger than the physical memory of your GPU, so you will not be able to use this support directly. You might be able to write a 'divide and conquer' algorithm to implement the matrix multiplication using the GPU to perform the actual multiplications, however whether this beats the multi-threaded CPU implementation in MATLAB would depend a lot not only on the GPU you have, but also the speed of the PCI bus.

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 GPU Computing 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by