ArrayFire | A Tensor Library for Fast GPU Computing
Array Fire. Faster Code.
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Best pages on Arrayfire.com
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ArrayFire | A Tensor Library for Fast GPU Computing
Hardware Neutral Avoid hardware vendor lock-in and high maintenance costs with ArrayFire. With new hardware options every year, low-level CUDA™, oneAPI, or OpenCL code must be changed continually to e...
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Image Processing Functions in ArrayFire v3.4 | ArrayFire
Different interpolation methods greatly affect the final result of image processing operations. In general, bilinear and bilinear-cosine produce a good result when upscaling an image, however they oft...
Arrayfire.com news digest
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5 years
We are proud to announce another exciting release of the ArrayFire library. This version fixes a critical performance regression in the ArrayFire just in time kernel generation code. We discovered the regression late in the release window for the v3...
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5 years
We are excited to announce ArrayFire v3.6.2! In this release we have fixed a number of bugs, improved documentation, and added a few features while improving performance as always. We highlight some of the exciting changes below. New features and improvements...
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6 years
Today we are pleased to announce the release of ArrayFire v3.6. It can be downloaded from these locations: Official installers GitHub repository This latest version of ArrayFire is better than ever! We added several new features that improve the performance...
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6 years
We are excited to announce ArrayFire v3.5.1! This release focuses on fixing bugs and improving performance. Here are the improvements we think are most important: Performance improvements We've improved element-wise operation performance for the CPU...
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Web host: | Akamai Technologies, Inc. |
Registrar: | FastDomain Inc. |
Registrant: | ACCELEREYES |
Updated: | November 11, 2023 |
Expires: | October 11, 2024 |
Created: | October 11, 2011 |
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