as.numeric-methods

as.numeric,gmatrix-method

as.numeric,gvector-method

as.integer-methods

as.integer,gmatrix-method

as.integer,gvector-method

as.logical-methods

as.logical,gmatrix-method

as.logical,gvector-method

as.matrix.gmatrix

as.matrix.gvector

as.matrix-methods

as.matrix,ANY-method

as.matrix,gmatrix-method

as.matrix,gvector-method

as.vector.gmatrix

as.vector.gvector

as.vector-methods

as.vector,ANY-method

as.vector,gmatrix-method

as.vector,gvector-method


 The functions <code>as.numeric</code>, <code>as.integer</code>, <code>as.matrix</code> and <code>as.vector</code> are intended to bring a GPU object to the main 
 host memory and coerce it into the given type.


methods

as.numeric, as.integer, as.logical, as.vector and as.matrix

A general framework for utilizing R to harness the power of NVIDIA GPU's. The "gmatrix" and "gvector" classes allow for easy management of the separate device and host memory spaces. Numerous numerical operations are implemented for these objects on the GPU. These operations include matrix multiplication, addition, subtraction, the kronecker product, the outer product, comparison operators, logical operators, trigonometric functions, indexing, sorting, random number generation and many more.

Nathan Morris

gmatrix

GPU Computing in R

as.numeric, as.integer, as.logical, as.vector and as.matrix function

<dl>
<dt><code>signature(x = "gmatrix")</code></dt><dd></dd> <dt><code>signature(x = "gvector")</code></dt><dd></dd> </dl>

Methods

Methods to coerce  a GPU object to an R object

as.numeric, as.integer, as.logical, as.vector and as.matrix: Methods to coerce a GPU object to an R object

Description

Arguments

Methods

See Also