maxjhandsome
/
llvm-project
forked from OSchip/llvm-project
1
0
Fork 0
Code Issues Pull Requests Packages Releases Wiki Activity
llvm-project/polly/test/ScopInfo/multidim_2d_outer_parametri...

54 lines
1.7 KiB
LLVM
Raw Normal View History

ScopDetection: Only detect scops that have at least one read and one write Scops that only read seem generally uninteresting and scops that only write are most likely initializations where there is also little to optimize. To not waste compile time we bail early. Differential Revision: http://reviews.llvm.org/D7735 llvm-svn: 229820
2015-02-19 13:31:07 +08:00
; RUN: opt %loadPolly -polly-detect-unprofitable -polly-scops -analyze -polly-delinearize < %s | FileCheck %s
Derive run-time conditions for delinearization As our delinearization works optimistically, we need in some cases run-time checks that verify our optimistic assumptions. A simple example is the following code: void foo(long n, long m, long o, double A[n][m][o]) { for (long i = 0; i < 100; i++) for (long j = 0; j < 150; j++) for (long k = 0; k < 200; k++) A[i][j][k] = 1.0; } After clang linearized the access to A and we delinearized it again to A[i][j][k] we need to ensure that we do not access the delinearized array out of bounds (this information is not available in LLVM-IR). Hence, we need to verify the following constraints at run-time: CHECK: Assumed Context: CHECK: [o, m] -> { : m >= 150 and o >= 200 } llvm-svn: 212198
2014-07-03 01:47:48 +08:00
target datalayout = "e-p:64:64:64-i1:8:8-i8:8:8-i16:16:16-i32:32:32-i64:64:64-f32:32:32-f64:64:64-v64:64:64-v128:128:128-a0:0:64-s0:64:64-f80:128:128-n8:16:32:64-S128"
target triple = "x86_64-unknown-linux-gnu"
; Derived from the following code:
;
; void foo(long n, long m, long p, double A[n][m]) {
; for (long i = 0; i < 100; i++)
; for (long j = 0; j < m; j++)
; A[i+p][j] = 1.0;
; }
; CHECK: Assumed Context:
Do allow negative offsets in the outermost array dimension There is no needed for neither 1-dimensional nor higher dimensional arrays to require positive offsets in the outermost array dimension. We originally introduced this assumption with the support for delinearizing multi-dimensional arrays. llvm-svn: 214665
2014-08-04 05:07:30 +08:00
; CHECK: [m, p] -> { : }
Derive run-time conditions for delinearization As our delinearization works optimistically, we need in some cases run-time checks that verify our optimistic assumptions. A simple example is the following code: void foo(long n, long m, long o, double A[n][m][o]) { for (long i = 0; i < 100; i++) for (long j = 0; j < 150; j++) for (long k = 0; k < 200; k++) A[i][j][k] = 1.0; } After clang linearized the access to A and we delinearized it again to A[i][j][k] we need to ensure that we do not access the delinearized array out of bounds (this information is not available in LLVM-IR). Hence, we need to verify the following constraints at run-time: CHECK: Assumed Context: CHECK: [o, m] -> { : m >= 150 and o >= 200 } llvm-svn: 212198
2014-07-03 01:47:48 +08:00
; CHECK: p0: %m
; CHECK: p1: %p
; CHECK: Statements {
; CHECK: Stmt_for_j
; CHECK: Domain :=
; CHECK: [m, p] -> { Stmt_for_j[i0, i1] : i0 >= 0 and i0 <= 99 and i1 >= 0 and i1 <= -1 + m };
; CHECK: Scattering :=
[NFC] Drop the "scattering" tuple name llvm-svn: 227801
2015-02-02 21:45:54 +08:00
; CHECK: [m, p] -> { Stmt_for_j[i0, i1] -> [i0, i1] };
Derive run-time conditions for delinearization As our delinearization works optimistically, we need in some cases run-time checks that verify our optimistic assumptions. A simple example is the following code: void foo(long n, long m, long o, double A[n][m][o]) { for (long i = 0; i < 100; i++) for (long j = 0; j < 150; j++) for (long k = 0; k < 200; k++) A[i][j][k] = 1.0; } After clang linearized the access to A and we delinearized it again to A[i][j][k] we need to ensure that we do not access the delinearized array out of bounds (this information is not available in LLVM-IR). Hence, we need to verify the following constraints at run-time: CHECK: Assumed Context: CHECK: [o, m] -> { : m >= 150 and o >= 200 } llvm-svn: 212198
2014-07-03 01:47:48 +08:00
; CHECK: MustWriteAccess := [Reduction Type: NONE]
; CHECK: [m, p] -> { Stmt_for_j[i0, i1] -> MemRef_A[p + i0, i1] };
; CHECK: }
define void @foo(i64 %n, i64 %m, i64 %p, double* %A) {
entry:
br label %for.i
for.i:
%i = phi i64 [ 0, %entry ], [ %i.inc, %for.i.inc ]
%add = add nsw i64 %i, %p
%tmp = mul nsw i64 %add, %m
br label %for.j
for.j:
%j = phi i64 [ 0, %for.i ], [ %j.inc, %for.j ]
%vlaarrayidx.sum = add i64 %j, %tmp
%arrayidx = getelementptr inbounds double* %A, i64 %vlaarrayidx.sum
store double 1.0, double* %arrayidx
%j.inc = add nsw i64 %j, 1
%j.exitcond = icmp eq i64 %j.inc, %m
br i1 %j.exitcond, label %for.i.inc, label %for.j
for.i.inc:
%i.inc = add nsw i64 %i, 1
%i.exitcond = icmp eq i64 %i.inc, 100
br i1 %i.exitcond, label %end, label %for.i
end:
ret void
}