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.bp
.NH 1
Strength reduction
.NH 2
Introduction
.PP
The Strength Reduction optimization technique (SR)
tries to replace expensive operators
by cheaper ones,
in order to decrease the execution time
of the program.
A classical example is replacing a 'multiplication by 2'
by an addition or a shift instruction.
These kinds of local transformations are already
done by the EM Peephole Optimizer.
Strength reduction can also be applied
more generally to operators used in a loop.
.DS
i := 1; i := 1;
while i < 100 loop --> TMP := i * 118;
put(i * 118); while i < 100 loop
i := i + 1; put(TMP);
end loop; i := i + 1;
TMP := TMP + 118;
end loop;
Fig. 6.1 An example of Strenght Reduction
.DE
In Fig. 6.1, a multiplication inside a loop is
replaced by an addition inside the loop and a multiplication
outside the loop.
Clearly, this is a global optimization; it cannot
be done by a peephole optimizer.
.PP
In some cases a related technique, \fItest replacement\fR,
can be used to eliminate the
loop variable i.
This technique will not be discussed in this report.
.sp 0
In the example above, the resulting code
can be further optimized by using
constant propagation.
Obviously, this is not the task of the
Strength Reduction phase.

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.NH 2
The model of strength reduction
.PP
In this section we will describe
the transformations performed by
Strength Reduction (SR).
Before doing so, we will introduce the
central notion of an induction variable.
.NH 3
Induction variables
.PP
SR looks for variables whose
values form an arithmetic progression
at the beginning of a loop.
These variables are called induction variables.
The most frequently occurring example of such
a variable is a loop-variable in a high-order
programming language.
Several quite sophisticated models of strength
reduction can be found in the literature.
.[
cocke reduction strength cacm
.]
.[
allen cocke kennedy reduction strength
.]
.[
lowry medlock cacm
.]
.[
aho compiler design
.]
In these models the notion of an induction variable
is far more general than the intuitive notion
of a loop-variable.
The definition of an induction variable we present here
is more restricted,
yielding a simpler model and simpler transformations.
We think the principle source for strength reduction lies in
expressions using a loop-variable,
i.e. a variable that is incremented or decremented
by the same amount after every loop iteration,
and that cannot be changed in any other way.
.PP
Of course, the EM code does not contain high level constructs
such as for-statements.
We will define an induction variable in terms
of the Intermediate Code of the optimizer.
Note that the notions of a loop in the
EM text and of a firm basic block
were defined in section 3.3.5.
.sp
.UL definition
.sp 0
An induction variable i of a loop L is a local variable
that is never accessed indirectly,
whose size is the word size of the target machine, and
that is assigned exactly once within L,
the assignment:
.IP -
being of the form i := i + c or i := c +i,
c is a constant
called the \fIstep value\fR of i.
.IP -
occurring in a firm block of L.
.LP
(Note that the first restriction on the assignment
is not described in terms of the Intermediate Code;
we will give such a description later; the current
definition is easier to understand however).
.NH 3
Recognized expressions
.PP
SR recognizes certain expressions using
an induction variable and replaces
them by cheaper ones.
Two kinds of expensive operations are recognized:
multiplication and array address computations.
The expressions that are simplified must
use an induction variable
as an operand of
a multiplication or as index in an array expression.
.PP
Often a linear function of an induction variable is used,
rather than the variable itself.
In these cases optimization is still possible.
We call such expressions \fIiv-expressions\fR.
.sp
.UL definition:
.sp 0
An iv-expression of an induction variable i of a loop L is
an expression that:
.IP -
uses only the operators + and - (unary as well as binary)
.IP -
uses i as operand exactly once
.IP -
uses (besides i) only constants or variables that are
never changed in L as operands.
.LP
.PP
The expressions recognized by SR are of the following forms:
.IP (1)
iv_expression * constant
.IP (2)
constant * iv_expression
.IP (3)
A[iv-expression] := (assign to array element)
.IP (4)
A[iv-expression] (use array element)
.IP (5)
& A[iv-expression] (take address of array element)
.LP
(Note that EM has different instructions to use an array element,
store into one, or take the address of one, resp. LAR, SAR, and AAR).
.sp 0
The size of the elements of A must
be known statically.
In cases (3) and (4) this size
must equal the word size of the
target machine.
.NH 3
Transformations
.PP
With every recognized expression we associate
a new temporary local variable TMP,
allocated in the stack frame of the
procedure containing the expression.
At any program point within the loop, TMP will
contain the following value:
.IP multiplication: 18
the current value of iv-expression * constant
.IP arrays:
the current value of &A[iv-expression].
.LP
In the second case, TMP essentially is a pointer variable,
pointing to the element of A that is currently in use.
.sp 0
If the same expression occurs several times in the loop,
the same temporary local is used each time.
.PP
Three transformations are applied to the EM text:
.IP (1)
TMP is initialized with the right value.
This initialization takes place just
before the loop.
.IP (2)
The recognized expression is simplified.
.IP (3)
TMP is incremented; this takes place just
after the induction variable is incremented.
.LP
For multiplication, the initial value of TMP
is the value of the recognized expression at
the program point immediately before the loop.
For arrays, TMP is initialized with the address
of the first array element that is accessed.
So the initialization code is:
.DS
TMP := iv-expression * constant; or
TMP := &A[iv-expression]
.DE
At the point immediately before the loop,
the induction variable will already have been
initialized,
so the value used in the code above will be the
value it has during the first iteration.
.PP
For multiplication, the recognized expression can simply be
replaced by TMP.
For array optimizations, the replacement
depends on the form:
.DS
\fIform\fR \fIreplacement\fR
(3) A[iv-expr] := *TMP := (assign indirect)
(4) A[iv-expr] *TMP (use indirect)
(5) &A[iv-expr] TMP
.DE
The '*' denotes the indirect operator. (Note that
EM has different instructions to do
an assign-indirect and a use-indirect).
As the size of the array elements is restricted
to be the word size in case (3) and (4),
only one EM instruction needs to
be generated in all cases.
.PP
The amount by which TMP is incremented is:
.IP multiplication: 18
step value * constant
.IP arrays:
step value * element size
.LP
Note that the step value (see definition of induction variable above),
the constant, and the element size (see previous section) can all
be determined statically.
If the sign of the induction variable in the
iv-expression is negative, the amount
must be negated.
.PP
The transformations are demonstrated by an example.
.DS
i := 100; i := 100;
while i > 1 loop TMP := (6-i) * 5;
X := (6-i) * 5 + 2; while i > 1 loop
Y := (6-i) * 5 - 8; --> X := TMP + 2;
i := i - 3; Y := TMP - 8;
end loop; i := i - 3;
TMP := TMP + 15;
end loop;
Fig. 6.2 Example of complex Strength Reduction transformations
.DE
The expression '(6-i)*5' is recognized twice. The constant
is 5.
The step value is -3.
The sign of i in the recognized expression is '-'.
So the increment value of TMP is -(-3*5) = +15.

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.NH 2
Implementation
.PP
Like most phases, SR deals with one procedure
at a time.
Within a procedure, SR works on one loop at a time.
Loops are processed in textual order.
If loops are nested inside each other,
SR starts with the outermost loop and proceeds in the
inwards direction.
This order is chosen,
because it enables the optimization
of multi-dimensional array address computations,
if the elements are accessed in the usual way
(i.e. row after row, rather than column after column).
For every loop, SR first detects all induction variables
and then tries to recognize
expressions that can be optimized.
.NH 3
Finding induction variables
.PP
The process of finding induction variables
can conveniently be split up
into two parts.
First, the EM text of the loop is scanned to find
all \fIcandidate\fR induction variables,
which are word-sized local variables
that are assigned precisely once
in the loop, within a firm block.
Second, for every candidate, the single assignment
is inspected, to see if it has the form
required by the definition of an induction variable.
.PP
Candidates are found by scanning the EM code of the loop.
During this scan, two sets are maintained.
The set "cand" contains all variables that were
assigned exactly once so far, within a firm block.
The set "dismiss" contains all variables that
should not be made a candidate.
Initially, both sets are empty.
If a variable is assigned to, it is put
in the cand set, if three conditions are met:
.IP 1.
the variable was not in cand or dismiss already
.IP 2.
the assignment takes place in a firm block
.IP 3.
the assignment is not a ZRL instruction (assignment by zero)
or a SDL instruction (store double local).
.LP
If any condition fails, the variable is dismissed from cand
(if it was there already) and put in dismiss
(if it was not there already).
.sp 0
All variables for which no register message was generated (i.e. those
variables that may be accessed indirectly) are assumed
to be changed in the loop.
.sp 0
All variables that remain in cand are candidate induction variables.
.PP
From the set of candidates, the induction variables can
be determined, by inspecting the single assignment.
The assignment must match one of the EM patterns below.
('x' is the candidate. 'ws' is the word size of the target machine.
'n' is any number.)
.DS
\fIpattern\fR \fIstep size\fR
INL x | +1
DEL x | -1
LOL x ; (INC | DEC) ; STL x | +1 | -1
LOL x ; LOC n ; (ADI ws | SBI ws) ; STL x | +n | -n
LOC n ; LOL x ; ADI ws ; STL x. +n
.DE
From the patterns the step size of the induction variable
can also be determined.
These step sizes are displayed on the right hand side.
.sp
For every induction variable we maintain the following information:
.IP -
the offset of the variable in the stackframe of its procedure
.IP -
a pointer to the EM text of the assignment statement
.IP -
the step value
.LP
.NH 3
Optimizing expressions
.PP
If any induction variables of the loop were found,
the EM text of the loop is scanned again,
to detect expressions that can be optimized.
SR scans for multiplication and array instructions.
Whenever it finds such an instruction, it analyses the
code in front of it.
If an expression is to be optimized, it must
be generated by the following syntax rules.
.DS
optimizable_expr:
iv_expr const mult |
const iv_expr mult |
address iv_expr address array_instr;
mult:
MLI ws |
MLU ws ;
array_instr:
LAR ws |
SAR ws |
AAR ws ;
const:
LOC n ;
.DE
An 'address' is an EM instruction that loads an
address on the stack.
An instruction like LOL may be an 'address', if
the size of an address (pointer size, =ps) is
the same as the word size.
If the pointer size is twice the word size,
instructions like LDL are an 'address'.
(The addresses in the third grammar rule
denote resp. the array address and the
array descriptor address).
.DS
address:
LAE |
LAL |
LOL if ps=ws |
LOE ,, |
LIL ,, |
LDL if ps=2*ws |
LDE ,, ;
.DE
The notion of an iv-expression was introduced earlier.
.DS
iv_expr:
iv_expr unair_op |
iv_expr iv_expr binary_op |
loopconst |
iv ;
unair_op:
NGI ws |
INC |
DEC ;
binary_op:
ADI ws |
ADU ws |
SBI ws |
SBU ws ;
loopconst:
const |
LOL x if x is not changed in loop ;
iv:
LOL x if x is an induction variable ;
.DE
An iv_expression must satisfy one additional constraint:
it must use exactly one operand that is an induction
variable.
A simple, hand written, top-down parser is used
to recognize an iv-expression.
It scans the EM code from right to left
(recall that EM is essentially postfix).
It uses semantic attributes (inherited as well as
derived) to check the additional constraint.
.PP
All information assembled during the recognition
process is put in a 'code_info' structure.
This structure contains the following information:
.IP -
the optimizable code itself
.IP -
the loop and basic block the code is part of
.IP -
the induction variable
.IP -
the iv-expression
.IP -
the sign of the induction variable in the
iv-expression
.IP -
the offset and size of the temporary local variable
.IP -
the expensive operator (MLI, LAR etc.)
.IP -
the instruction that loads the constant
(for multiplication) or the array descriptor
(for arrays).
.LP
The entire transformation process is driven
by this information.
As the EM text is represented internally
as a list, this process consists
mainly of straightforward list manipulations.
.sp 0
The initialization code must be put
immediately before the loop entry.
For this purpose a \fIheader block\fR is
created that has the loop entry block as
its only successor and that dominates the
entry block.
The CFG and all relations (SUCC,PRED, IDOM, LOOPS etc.)
are updated.
.sp 0
An EM instruction that will
replace the optimizable code
is created and put at the place of the old code.
The list representing the old optimizable code
is used to create a list for the initializing code,
as they are similar.
Only two modifications are required:
.IP -
if the expensive operator is a LAR or SAR,
it must be replaced by an AAR, as the initial value
of TMP is the \fIaddress\fR of the first
array element that is accessed.
.IP -
code must be appended to store the result of the
expression in TMP.
.LP
Finally, code to increment TMP is created and put after
the code of the single assignment to the
induction variable.
The generated code uses either an integer addition
(ADI) or an integer-to-pointer addition (ADS)
to do the increment.
.PP
SR maintains a set of all expressions that have already
been recognized in the present loop.
Such expressions are said to be \fIavailable\fR.
If an expression is recognized that is
already available,
no new temporary local variable is allocated for it,
and the code to initialize and increment the local
is not generated.

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.NH 2
Source files of SR
.PP
The sources of SR are in the following files
and packages:
.IP sr.h: 14
declarations of global variables and
data structures
.IP sr.c:
the routine main; a driving routine to process
(possibly nested) loops in the right order
.IP iv
implements a procedure that finds the induction variables
of a loop
.IP reduce
implements a procedure that finds optimizable expressions
and that does the transformations
.IP cand
implements a procedure that finds the candidate induction
variables; used to implement iv
.IP xform
implements several useful routines that transform
lists of EM text or a CFG; used to implement reduce
.IP expr
implements a procedure that parses iv-expressions
.IP aux
implements several auxiliary procedures.
.LP