rkeops_use_cpu

Set up <code>rkeops</code> options to use CPU computing when calling
user-defined operators.

The 'KeOps' library lets you compute generic reductions of
very large arrays whose entries are given by a mathematical formula
with CPU and GPU computing support. It combines a tiled reduction
scheme with an automatic differentiation engine. It is perfectly
suited to the efficient computation of Kernel dot products and the
associated gradients, even when the full kernel matrix does not fit
into the GPU memory.

Ghislain Durif

rkeops

Kernel Operations on GPU or CPU, with Autodiff, without Memory
Overflows

Amelie Vernay

Chloe Serre-Combe

Benjamin Charlier

Jean Feydy

Joan A. Glaunès

François-David Collin

rkeops_use_cpu function

<dl><dt>ncore</dt>
<dd>integer, number of cores used by <code>rkeops</code> user-defined
operators to run computations in CPU mode. If <code>ncore = 0</code> then all
available cores are used. Default value is <code>NULL</code> which correspond to <code>0</code>.</dd></dl>

Arguments

Author

Enable GPU-computing when calling user-defined operators — rkeops_use_cpu

<dl>

<dt>ncore</dt>
<dd>integer, number of cores used by <code>rkeops</code> user-defined
operators to run computations in CPU mode. If <code>ncore = 0</code> then all
available cores are used. Default value is <code>NULL</code> which correspond to <code>0</code>.</dd>

</dl>

rkeops_use_cpu: Enable GPU-computing when calling user-defined operators

Description

Usage

Value

Arguments

Author

Details

See Also

Examples