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利用GPU的功耗在Linux内核

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  • 标      签: linux GPU 利用 内核 功耗

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Updates The k32 branch on github now works with kernel 3.2.x. Hope that makes people a little bit happier. I also encourage people take a look at [Snap](https://github.com/wbsun/snap), which is another system-level GPU computing study. It helps build parallel packet processing boxes with GPUs. Where is the source code? Github: https://github.com/wbsun/kgpu We use the Google code as a place to publish updates. What is It? KGPU (or GPUstore, for storage) is a GPU computing framework for the Linux kernel. It allows Linux kernel to call CUDA programs running on GPUs directly. The motivation is to augment operating systems with GPUs so that not only userspace applications but also the operating system itself can benefit from GPU acceleration. It can also free the CPU from some computation intensive work by enabling the GPU as an extra computing device. Modern GPUs can be used for more than just graphics processi

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