Next: Aggregate Communication Examples
Up: The HPF Model
Previous: The HPF Model
The following examples illustrate the communication requirements of scalar assignment statements. The purpose is to illustrate the implications of data distribution specifications on communication requirements for parallel execution. The explanations given do not necessarily reflect the actual compilation process.
Consider the following statements:
REAL a(1000), b(1000), c(1000), x(500), y(0:501)
INTEGER inx(1000)
!HPF DISTRIBUTE (BLOCK) ONTO procs :: a, b, inx
!HPF ALIGN x(i) WITH y(i+1)
...
a(i) = b(i) ! Assignment 1
x(i) = y(i+1) ! Assignment 2
a(i) = c(i) ! Assignment 3
a(i) = a(i-1) + a(i) + a(i+1) ! Assignment 4
c(i) = c(i-1) + c(i) + c(i+1) ! Assignment 5
x(i) = y(i) ! Assignment 6
a(i) = a(inx(i)) + b(inx(i)) ! Assignment 7
In this example, the PROCESSORS directive specifies a linear
arrangement of 10 processors. The DISTRIBUTE directives
recommend to the compiler that the arrays a, b, and inx should be distributed among the 10 processors with blocks of 100
contiguous elements per processor. The array c is to be
cyclically distributed among the processors with c(1), c(11), ..., c(991) mapped onto processor procs(1);
c(2), c(12), ..., c(992) mapped onto processor
procs(2); and so on. The complete mapping of arrays x and
y onto the processors is not specified, but their relative
alignment is indicated by the ALIGN directive. The ALIGN
statement causes x(i) and y(i+1) to be stored on the same
processor for all values of i, regardless of the actual
distribution chosen by the compiler for x and y (y(0)
and y(1) are not aligned with any element of x). The PROCESSORS, DISTRIBUTE, and ALIGN directives are discussed
in detail in Section .
In Assignment 1 (a(i) = b(i)), the identical distribution of a and b ensures that for all i, a(i) and b(i)
are mapped to the same processor. Therefore, the statement requires no
communication.
In Assignment 2 (x(i) = y(i+1)), there is no inherent
communication. In this case, the relative alignment of the two arrays
matches the assignment statement for any actual distribution of the
arrays.
Although Assignment 3 (a(i) = c(i)) looks very similar to the
first assignment, the communication requirements are very different due
to the different distributions of a and c. Array elements
a(i) and c(i) are mapped to the same processor for only
10%of the possible values of i. (This can be seen by
inspecting the definitions of BLOCK and CYCLIC in
Section .) The elements are located on the same
processor if and only if . For example, the assignment involves no inherent communication
(i.e., both a(i) and c(i) are on the same processor) if or , but does require communication if .
In Assignment 4 (a(i) = a(i-1) + a(i) + a(i+1)), the references
to array a are all on the same processor for about 98%of the
possible values of i. The exceptions to this are
for any , (when a(i) and a(i-1)
are on procs(k) and a(i+1) is on procs(k+1)) and for any (when a(i) and
a(i+1) are on procs(k+1) and a(i-1) is on procs(k)). Thus, except for ``boundary" elements on each processor,
this statement requires no inherent communication.
Assignment 5, c(i) = c(i-1) + c(i) + c(i+1), while superficially
similar to Assignment 4, has very different communication behavior.
Because the distribution of c is CYCLIC rather than BLOCK, the three references c(i), c(i-1), and c(i+1)
are mapped to three distinct processors for any value of i.
Therefore, this statement requires communication for at least two of
the right-hand side references, regardless of the implementation
strategy.
The final two assignments have very limited information regarding the
communication requirements. In Assignment 6 (x(i) = y(i)) the
only information available is that x(i) and y(i+1) are on
the same processor; this has no logical consequences for the
relationship between x(i) and y(i). Thus, nothing can be
said regarding communication in the statement without further
information. In Assignment 7 (a(i) = a(inx(i)) + b(inx(i))), it
can be proved that a(inx(i)) and b(inx(i)) are always
mapped to the same processor. Similarly, it is easy to deduce that
a(i) and inx(i) are mapped together. Without knowledge of
the values stored in inx, however, the relation between a(i) and a(inx(i)) is unknown, as is the relationship between
a(i) and b(inx(i)).
The inherent communication for a sequence of assignment statements is
the union of the communication requirements for the individual
statements. An array element used in several statements contributes to
the total inherent (i.e. minimal) communication only once (assuming an
optimizing compiler that eliminates common subexpressions), unless the
array element may have been changed since its last use. For example,
consider the code below:
REAL a(1000), b(1000), c(1000)
!HPF DISTRIBUTE (CYCLIC) ONTO procs :: a, b, c
...
a(i) = b(i+2) ! Statement 1
b(i) = c(i+3) ! Statement 2
b(i+2) = 2 * a(i+2) ! Statement 3
c(i) = a(i+1) + b(i+2) + c(i+3) ! Statement 4
Statements 1 and 2 each require one array element to be communicated
for any value of i. Statement 3 has no inherent communication.
To simplify the discussion, assume that all four statements are
executed on the processor storing the array element being assigned.
Then, for Statement 4:
Thus, the minimum total inherent communication in this program fragment
is four array elements. It is important to note that this is a
minimum. Some compilation strategies may produce communication for
element c(i+3) in the last statement.
Next: Aggregate Communication Examples
Up: The HPF Model
Previous: The HPF Model