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It is possible to compile the code in finufft_execute for multiple SIMD instructions and select the fastest available at runtime. This might not impact power users (that compile the code themselves) but it will impact python/matlab users are well as developers that cannot use -march=native.
Once this is merged we might consider shipping an linux artifacts on package managers (APT and similars) as these will run with good perfomance everywhere.
The text was updated successfully, but these errors were encountered:
On Wed, Jul 17, 2024 at 11:23 AM Marco Barbone ***@***.***> wrote:
It is possible to compile the code in finufft_execute for multiple SIMD
instructions and select the fastest available at runtime. This might not
impact power users (that compile the code themselves) but it will impact
python/matlab users are well as developers that cannot use -march=native.
Once this is merged we might consider shipping an linux artifacts on
package managers (APT and similars) as these will run with good perfomance
everywhere.
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It is possible to compile the code in finufft_execute for multiple SIMD instructions and select the fastest available at runtime. This might not impact power users (that compile the code themselves) but it will impact python/matlab users are well as developers that cannot use -march=native.
Once this is merged we might consider shipping an linux artifacts on package managers (APT and similars) as these will run with good perfomance everywhere.
The text was updated successfully, but these errors were encountered: