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Merge pull request #903 from psychocoderHPC/topic-removeBetaStatus
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remove beta status
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@BenjaminW3
BenjaminW3 authored Jan 7, 2020
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Expand Up @@ -19,8 +19,6 @@ There is no need to write special CUDA, OpenMP or custom threading code.
Accelerator back-ends can be mixed within a device queue.
The decision which accelerator back-end executes which kernel can be made at runtime.

The **alpaka** API is currently unstable (beta state).

The abstraction used is very similar to the CUDA grid-blocks-threads division strategy.
Algorithms that should be parallelized have to be divided into a multi-dimensional grid consisting of small uniform work items.
These functions are called kernels and are executed in parallel threads.
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