Skip to main content

A preprocessor that gives C multidimensional arrays

Project description

CnD is a source-to-source translator that makes using n-dimensional arrays in C more pleasant. It will turn this code:

void sgemm(float *a, float *b, float *c, int n)
{
  dimension "fortran" a[n, n];
  dimension "fortran" b[n, n];
  dimension c[n, n];

  for (int i = 1; i <= n; ++i)
    for (int j = 1; j <= n; ++j)
    {
      float tmp = 0;

      for (int k = 1; k <= n; ++k)
        tmp += a[i,k]*b[k,j];

      c[i-1,j-1] = tmp;
    }
}

into this:

void sgemm(float *a, float *b, float *c, int n)
{
  for (int i = 1; i <= n; ++i)
    for (int j = 1; j <= n; ++j)
  {
    float tmp = 0;
    for (int k = 1; k <= n; ++k)
      tmp += a[((k - 1) * ((n - 1) + 1)) + (i - 1)] * b[((j - 1) * ((n - 1) + 1)) + (k - 1)];

    c[((i - 1) * n) + (j - 1)] = tmp;
  }
}

It understands all of C99. You may also take a look at a more complete example. Note that the only effect of a dimension declaration is to modify the interpretation of the array[idx] subscript operator. You can still have 1D indexing by writing *(array + idx). dimension declarations obey regular C scoping rules.

Each axis specification in a dimension declaration has the following form:

start:end:stride:leading_dimension

start may be omitted. end and stride may also be omitted, but if entries after them are to be specified, their trailing colons must remain in place. For example, the axis specification :5 simply specifies a stride of 5. The stride simply acts as a multiplier on the index. No plausibility checking whatsoever is done on the dimension declaration. You may shoot yourself in the foot any way you like.

If the layout is given as “c” or not given at all, the following things are true:

  • The array is laid out in row-major order.

  • The end index is taken to be exclusive, if specified.

  • The start index defaults to 0.

If the layout is given as “fortran”, the following things are true:

  • The array is laid out in column-major order.

  • The end index is taken to be inclusive, if specified.

  • The start index defaults to 1.

(Most) of the knowledge contained in the dimension declaration may be reobtained programmatically by the follwing functions:

  • rankof(a)

  • nitemsof(a)

  • lboundof(a, axis)

  • uboundof(a, axis) (returns the user-specified upper bound)

  • puboundof(a, axis) (returns the index just past the end of axis)

  • ldimof(a, axis)

  • strideof(a, axis)

In each case, axis must be a constant integer (not a constant expression, a plain integer).

Installation / Usage

You may obtain CnD by downloading the tarball from the package index, or from github:

$ git clone git://github.com/inducer/cnd.git
$ cd cnd
$ git submodule init
$ git submodule update

To use CnD, simply add distribution-dir/bin to your PATH.

To get started, simply run (from within the cnd root):

$ cd examples
$ ../bin/cndcc gcc -std=c99 basic.c
$ ./a.out

If you would like more fine-grained control over the translation process, the cnd command exposes just the source-to-source translation. Note that cnd expects preprocessed source. You may pass the option -E to have cnd run the preprocessor on your source for you. Run:

$ cnd -h

to get full help on the command line interface. You may set the CND_CPP environment variable to the preprocessor you wish to use.

Future Features

  • Bounds checking.

  • Generate #line directives.

Author

Andreas Kloeckner <inform@tiker.net>, based on discussions with Zydrunas Gimbutas.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cnd-2011.1.tar.gz (91.9 kB view details)

Uploaded Source

File details

Details for the file cnd-2011.1.tar.gz.

File metadata

  • Download URL: cnd-2011.1.tar.gz
  • Upload date:
  • Size: 91.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for cnd-2011.1.tar.gz
Algorithm Hash digest
SHA256 84ca95dff1392d479ecdd26472966bbb2b1ddef51d3e8ff44fdf3c83acdb7b5b
MD5 9b3faaa658d4936d16988640c24560fc
BLAKE2b-256 d3b7ec3182b8320c338acb2919fcc09ccd254a44a3506db0a0f988e43b9b91f1

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page