Pavan Yalamanchili

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The benchmark code used for the blog can be seen here: https://github.com/arrayfire/valhalla. I am trying to make it a full blown benchmarking suite for all the libraries used in that...

@VincentSC One of the things I have noticed where ArrayFire is faster is because of the memory manager. If you can modify your local boost compute to implement even a...

Hmm. We are seeing a [similar problem happen in arrayfire](https://github.com/arrayfire/arrayfire/issues/1054) independent of boost compute. Perhaps the underlying issue is the same. We haven't been able to narrow this down yet.

> Iris isn't so fast. @haahh that's not the case. Intel GPUs require vector data types to perform better.

> Yes, indeed, it may be the problem. Do you know any performance comparisons > between intel cpu (all cores) and iris? Unfortunately arrayfire faces the same performance issues because...

@FilipeMaia https://github.com/arrayfire/arrayfire-python/commit/d8db269942e92a9eeab482d1dc5b3d6788e31122 changed the behavior to pick the first _working_ backend instead of the first backend that can be loaded. This is fundamentally different behavior than what is expected here....

I think this needs to be implemented upstream.

@umar456 doesnt arrayfire libs have documentation about installing visual studio runtime ?