ArrayFire | A Tensor Library for Faster, Smarter GPU Computing
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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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Support for various data types and sizes ArrayFire operates on common data shapes and sizes, including vectors, matrices, volumes, and It supports common data types, including single and double precis...
Accelereyes.com news digest
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4 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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5 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: | Unified Layer |
| Registrar: | FastDomain Inc. |
| Registrant: | JOHN MELONAKOS (ACCELEREYES) |
| Updated: | July 31, 2023 |
| Expires: | July 17, 2024 |
| Created: | June 15, 2007 |
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