gpuDist: Compute Distances Between Vectors on a GPU

In gputools: GPU Drop-Ins for Statistics on Wide Data

Compute Distances Between Vectors on a GPU

Description

This function computes the distance between each vector of the 'points' argument using the metric specified by 'method'.

Usage

	gpuDist(points, method = "euclidean", p = 2.0,
		precision = getOption("gputools.precision", "single"))

Arguments

points	a matrix of floating point numbers in which each row is a vector in $R^n$ space where $n$ is ncol(points).
method	a string representing the name of the metric to use to calculate the distance between the vectors of 'points'. Currently supported values are: "binary", "canberra", "euclidean", "manhattan", "maximum", and "minkowski".
p	a floating point parameter for the Minkowski metric.
precision	"single" or "double": the floating point precision the GPU computes in. Single precision is the default, set with options(gputools.precision = "double"); it runs many times faster on most consumer GPUs. Results are returned as doubles either way.

Value

a class of type "dist" containing floating point numbers representing the distances between vectors from the 'points' argument.

See Also

dist

Examples

numVectors <- 5
dimension <- 10
Vectors <- matrix(runif(numVectors*dimension), numVectors, dimension)
gpuDist(Vectors, "euclidean")
gpuDist(Vectors, "maximum")
gpuDist(Vectors, "manhattan")
gpuDist(Vectors, "minkowski", 4)

gputools documentation built on Oct. 24, 2026, 5:07 p.m.