Updated README #1726
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Updated README #1726
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pavanky
reviewed
Feb 7, 2017
| abstraction of data which resides on the accelerator, the `af::array` object. | ||
| Developers write code which performs operations on ArrayFire arrays which, in turn, | ||
| are automatically translated into near-optimal kernels that execute on the computational | ||
| device. |
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README.md
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| are automatically translated into near-optimal kernels that execute on the computational | ||
| device. | ||
| ArrayFire is successfully used on devices ranging from low-power mobile phones to | ||
| high-power GPU-enabled supercomputers including CPUs from all major vendors (Intel, AMD, Arm), |
README.md
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| device. | ||
| ArrayFire is successfully used on devices ranging from low-power mobile phones to | ||
| high-power GPU-enabled supercomputers including CPUs from all major vendors (Intel, AMD, Arm), | ||
| GPUs from the dominant manufacturers (NVIDIA, AMD, and Qualcomm), as well as a variety |
README.md
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| are automatically translated into near-optimal kernels that execute on the computational | ||
| device. | ||
| ArrayFire is successfully used on devices ranging from low-power mobile phones to | ||
| high-power GPU-enabled supercomputers including CPUs from all major vendors (Intel, AMD, Arm), |
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Can you see if this sentence can be re-written ?
mlloreda
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Improved readability and formatting.
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@pavanky all issues have been addressed. |
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skip arrayfire linux ci |
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@mlloreda What's happening here? |
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@pavanky unless there are any more suggestions this is ready to be merged. |
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Improved readability and formatting.