setMetadata

getMetadata

getMetadata,Module,missing-method

MDNode-class

MDString-class

NamedMDNode-class

setMetadata,NamedMDNode,ANY-method

setMetadata,Module,character-method

getMetadata,Module,character-method

[,MDNode,missing,ANY-method

[,MDNode,numeric,ANY-method

[,NamedMDNode,missing,ANY-method

[,NamedMDNode,numeric,ANY-method

[[,NamedMDNode,numeric,ANY-method

[[,MDNode,numeric,ANY-method

getNumOperands,MDNode-method

getNumOperands,NamedMDNode-method

getOperands,MDNode-method

getOperands,NamedMDNode-method

length,MDNode-method

length,NamedMDNode-method

the <code>Module</code> object or NamedMDNode on which we
 set or get the metadata

x,module

a string, the name/identifier of the metadata. This
 identifies which metadata field we want

a list of values to use as the metadata. These are
 coerced to <code>MDNode</code> objects.

values

additional arguments for the methods.
 <code>create = TRUE/FALSE</code> controls whether we create the
 metadata node regardless of whether it already exists.

&#8230;

These functions allow us to set and get metadata
 on a module and to access the resulting
 <code>NamedMDNode</code> and <code>MDNode</code>
 objects representing the metadata in a convenient manner.

programming

This package is currently an interface to some of the
functionality in the llvm toolkit for programmaticall constructing native code.
This allows us to build "compilers" in R and use llvm's optmization and JIT techniques
to improve the code we generate and then turn it into machine code.
This is currently not a compiler. There are examples that illustrate how
to generate code to create native functions that are equivalent to
some simple R functions. The goal is to build on this and create a compiler,
hopefully building on the framework that Luke Tierney has created in his
compiler package (see http://www.cs.uiowa.edu/~luke/R/compiler/).
This is in the RLLVCompile package.
The speed up we achieve compiling R code in our examples illustrate that
we can significantly outperform the R interpreter and also
can outperform some of R's vectorized code by rearranging the computations,
e.g. fusing loops, avoiding memory usage.

setMetadata: Functions for working with LLVM metadata

Description

Usage

Arguments

See Also