BlockDist¶

class Block¶

This Block distribution partitions indices into blocks according to a boundingBox domain and maps each entire block onto a locale from a targetLocales array.

The indices inside the bounding box are partitioned "evenly" across the target locales. An index outside the bounding box is mapped to the same locale as the nearest index inside the bounding box.

Formally, an index idx is mapped to targetLocales[locIdx], where locIdx is computed as follows.

In the 1-dimensional case, for a Block distribution with:

boundingBox	{low..high}
targetLocales	[0..N-1] locale

we have:

if idx is ...	locIdx is ...
low<=idx<=high	floor(  (idx-low)*N / (high-low+1)  )
idx < low	0
idx > high	N-1

In the multidimensional case, idx and locIdx are tuples of indices; boundingBox and targetLocales are multi-dimensional; the above computation is applied in each dimension.

Example

The following code declares a domain D distributed over a Block distribution with a bounding box equal to the domain Space, and declares an array A over that domain. The forall loop sets each array element to the ID of the locale to which it is mapped.

use BlockDist;

const Space = {1..8, 1..8};
const D: domain(2) dmapped Block(boundingBox=Space) = Space;
var A: [D] int;

forall a in A do
  a = a.locale.id;

writeln(A);

When run on 6 locales, the output is:

0 0 0 0 1 1 1 1
0 0 0 0 1 1 1 1
0 0 0 0 1 1 1 1
2 2 2 2 3 3 3 3
2 2 2 2 3 3 3 3
2 2 2 2 3 3 3 3
4 4 4 4 5 5 5 5
4 4 4 4 5 5 5 5

Constructor Arguments

The Block class constructor is defined as follows:

proc Block(
  boundingBox: domain,
  targetLocales: [] locale  = Locales,
  dataParTasksPerLocale     = // value of  dataParTasksPerLocale      config const,
  dataParIgnoreRunningTasks = // value of  dataParIgnoreRunningTasks  config const,
  dataParMinGranularity     = // value of  dataParMinGranularity      config const,
  param rank                = boundingBox.rank,
  type  idxType             = boundingBox.idxType)

The arguments boundingBox (a domain) and targetLocales (an array) define the mapping of any index of idxType type to a locale as described above.

The rank of targetLocales must match the rank of the distribution, or be 1. If the rank of targetLocales is 1, a greedy heuristic is used to reshape the array of target locales so that it matches the rank of the distribution and each dimension contains an approximately equal number of indices.

The arguments dataParTasksPerLocale, dataParIgnoreRunningTasks, and dataParMinGranularity set the knobs that are used to control intra-locale data parallelism for Block-distributed domains and arrays in the same way that the like-named config constants control data parallelism for ranges and default-distributed domains and arrays.

The rank and idxType arguments are inferred from the boundingBox argument unless explicitly set. They must match the rank and index type of the domains "dmapped" using that Block instance.

Data-Parallel Iteration

A forall loop over a Block-distributed domain or array executes each iteration on the locale where that iteration's index is mapped to.

Parallelism within each locale is guided by the values of dataParTasksPerLocale, dataParIgnoreRunningTasks, and dataParMinGranularity of the respective Block instance. Updates to these values, if any, take effect only on the locale where the updates are made.