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Check reduction dependencies in case of the matrix multiplication optimization To determine parameters of the matrix multiplication, we check RAW dependencies that can be expressed using only reduction dependencies. Consequently, we should check the reduction dependencies, if this is the case. Reviewed-by: Tobias Grosser <tobias@grosser.es>, Sven Verdoolaege <skimo-polly@kotnet.org> Michael Kruse <llvm@meinersbur.de> Differential Revision: https://reviews.llvm.org/D29814 llvm-svn: 294836
2017-02-11 17:59:09 +08:00
; RUN: opt %loadPolly -polly-opt-isl -polly-pattern-matching-based-opts=true \
; RUN: -polly-target-throughput-vector-fma=1 \
; RUN: -polly-target-latency-vector-fma=8 \
; RUN: -analyze -polly-ast -polly-target-1st-cache-level-associativity=8 \
; RUN: -polly-target-2nd-cache-level-associativity=8 \
; RUN: -polly-target-1st-cache-level-size=32768 \
; RUN: -polly-target-vector-register-bitwidth=256 \
; RUN: -polly-target-2nd-cache-level-size=262144 < %s \
; RUN: | FileCheck %s
;
; RUN: opt %loadPolly -analyze -polly-dependences < %s | FileCheck %s \
; RUN: --check-prefix=DEPENDENCES
;
; /* C := A * B + C */
; /* Elements of the matrices A, B, C have the char type. */
; /* The type size of elements of the matrix multiplication operands is used
; to determine the parameters of the code produced by the optimization
; of the matrix multiplication (e.g. bounds of the loops of the loop
; nest, the innermost loop body). This test checks the form of
; the generated loop nest. See getMicroKernelParams and
; getMacroKernelParams from lib/Transform/ScheduleOptimizer.cpp
; for details.
;
; This patch also checks that we can detect matrix multiplication
; in case there are reduction dependencies and there are not RAW
; dependencies. */
; for (i = 0; i < _PB_NI; i++)
; for (j = 0; j < _PB_NJ; j++)
; for (k = 0; k < _PB_NK; ++k)
; C[i][j] += A[i][k] * B[k][j];
;
; CHECK: // 1st level tiling - Tiles
; CHECK-NEXT: for (int c1 = 0; c1 <= 1; c1 += 1) {
; CHECK-NEXT: for (int c3 = 0; c3 <= 1023; c3 += 1)
; CHECK-NEXT: for (int c4 = 512 * c1; c4 <= 512 * c1 + 511; c4 += 1)
; CHECK-NEXT: CopyStmt_0(0, c3, c4);
; CHECK-NEXT: for (int c2 = 0; c2 <= 2; c2 += 1) {
; CHECK-NEXT: for (int c3 = 384 * c2; c3 <= min(1023, 384 * c2 + 383); c3 += 1)
; CHECK-NEXT: for (int c5 = 512 * c1; c5 <= 512 * c1 + 511; c5 += 1)
; CHECK-NEXT: CopyStmt_1(c3, 0, c5);
; CHECK-NEXT: // 1st level tiling - Points
; CHECK-NEXT: // Register tiling - Tiles
; CHECK-NEXT: for (int c3 = 0; c3 <= 31; c3 += 1)
; CHECK-NEXT: for (int c4 = 0; c4 <= min(47, -48 * c2 + 127); c4 += 1)
; CHECK-NEXT: for (int c5 = 0; c5 <= 511; c5 += 1) {
Disable the Loop Vectorizer in case of GEMM Currently, in case of GEMM and the pattern matching based optimizations, we use only the SLP Vectorizer out of two LLVM vectorizers. Since the Loop Vectorizer can get in the way of optimal code generation, we disable the Loop Vectorizer for the innermost loop using mark nodes and emitting the corresponding metadata. Reviewed-by: Tobias Grosser <tobias@grosser.es> Differential Revision: https://reviews.llvm.org/D36928 llvm-svn: 311473
2017-08-23 01:38:46 +08:00
; CHECK-NEXT: // Loop Vectorizer Disabled
Check reduction dependencies in case of the matrix multiplication optimization To determine parameters of the matrix multiplication, we check RAW dependencies that can be expressed using only reduction dependencies. Consequently, we should check the reduction dependencies, if this is the case. Reviewed-by: Tobias Grosser <tobias@grosser.es>, Sven Verdoolaege <skimo-polly@kotnet.org> Michael Kruse <llvm@meinersbur.de> Differential Revision: https://reviews.llvm.org/D29814 llvm-svn: 294836
2017-02-11 17:59:09 +08:00
; CHECK-NEXT: // Register tiling - Points
; CHECK-NEXT: {
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 1, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 2, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 3, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 4, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 5, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 6, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 7, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 8, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 9, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 10, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 11, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 12, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 13, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 14, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 15, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 16, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 17, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 18, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 19, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 20, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 21, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 22, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 23, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 24, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 25, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 26, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 27, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 28, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 29, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 30, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4, 32 * c3 + 31, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 1, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 2, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 3, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 4, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 5, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 6, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 7, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 8, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 9, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 10, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 11, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 12, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 13, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 14, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 15, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 16, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 17, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 18, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 19, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 20, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 21, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 22, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 23, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 24, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 25, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 26, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 27, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 28, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 29, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 30, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 1, 32 * c3 + 31, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 1, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 2, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 3, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 4, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 5, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 6, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 7, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 8, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 9, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 10, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 11, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 12, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 13, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 14, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 15, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 16, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 17, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 18, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 19, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 20, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 21, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 22, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 23, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 24, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 25, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 26, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 27, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 28, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 29, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 30, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 2, 32 * c3 + 31, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 1, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 2, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 3, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 4, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 5, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 6, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 7, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 8, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 9, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 10, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 11, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 12, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 13, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 14, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 15, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 16, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 17, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 18, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 19, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 20, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 21, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 22, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 23, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 24, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 25, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 26, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 27, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 28, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 29, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 30, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 3, 32 * c3 + 31, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 1, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 2, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 3, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 4, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 5, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 6, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 7, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 8, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 9, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 10, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 11, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 12, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 13, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 14, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 15, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 16, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 17, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 18, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 19, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 20, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 21, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 22, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 23, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 24, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 25, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 26, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 27, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 28, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 29, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 30, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 4, 32 * c3 + 31, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 1, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 2, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 3, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 4, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 5, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 6, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 7, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 8, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 9, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 10, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 11, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 12, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 13, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 14, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 15, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 16, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 17, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 18, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 19, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 20, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 21, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 22, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 23, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 24, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 25, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 26, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 27, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 28, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 29, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 30, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 5, 32 * c3 + 31, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 1, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 2, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 3, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 4, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 5, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 6, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 7, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 8, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 9, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 10, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 11, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 12, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 13, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 14, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 15, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 16, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 17, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 18, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 19, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 20, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 21, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 22, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 23, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 24, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 25, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 26, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 27, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 28, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 29, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 30, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 6, 32 * c3 + 31, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 1, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 2, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 3, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 4, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 5, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 6, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 7, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 8, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 9, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 10, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 11, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 12, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 13, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 14, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 15, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 16, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 17, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 18, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 19, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 20, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 21, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 22, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 23, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 24, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 25, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 26, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 27, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 28, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 29, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 30, 512 * c1 + c5);
; CHECK-NEXT: Stmt_for_body6(384 * c2 + 8 * c4 + 7, 32 * c3 + 31, 512 * c1 + c5);
; CHECK-NEXT: }
; CHECK-NEXT: }
; CHECK-NEXT: }
; CHECK-NEXT: }
;
; DEPENDENCES: RAW dependences:
; DEPENDENCES-NEXT: { }
; DEPENDENCES-NEXT: WAR dependences:
; DEPENDENCES-NEXT: { }
; DEPENDENCES-NEXT: WAW dependences:
; DEPENDENCES-NEXT: { }
; DEPENDENCES-NEXT: Reduction dependences:
; DEPENDENCES-NEXT: { Stmt_for_body6[i0, i1, i2] -> Stmt_for_body6[i0, i1, 1 + i2] : 0 <= i0 <= 1023 and 0 <= i1 <= 1023 and 0 <= i2 <= 1022 }
; DEPENDENCES-NEXT: Transitive closure of reduction dependences:
; DEPENDENCES-NEXT: { Stmt_for_body6[i0, i1, i2] -> Stmt_for_body6[i0, i1, o2] : 0 <= i0 <= 1023 and 0 <= i1 <= 1023 and ((i2 >= 0 and i2 < o2 <= 1023) or (i2 <= 1023 and 0 <= o2 < i2)) }
;
target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128"
target triple = "x86_64-unknown-unknown"
define internal void @kernel_gemm(i32 %ni, i32 %nj, i32 %nk, i8 signext %alpha, i8 signext %beta, [1024 x i8]* %C, [1024 x i8]* %A, [1024 x i8]* %B) {
entry:
br label %entry.split
entry.split: ; preds = %entry
br label %for.cond1.preheader
for.cond1.preheader: ; preds = %for.inc23, %entry.split
%indvars.iv45 = phi i64 [ 0, %entry.split ], [ %indvars.iv.next46, %for.inc23 ]
br label %for.cond4.preheader
for.cond4.preheader: ; preds = %for.inc20, %for.cond1.preheader
%indvars.iv42 = phi i64 [ 0, %for.cond1.preheader ], [ %indvars.iv.next43, %for.inc20 ]
br label %for.body6
for.body6: ; preds = %for.body6, %for.cond4.preheader
%indvars.iv = phi i64 [ 0, %for.cond4.preheader ], [ %indvars.iv.next, %for.body6 ]
%arrayidx8 = getelementptr inbounds [1024 x i8], [1024 x i8]* %A, i64 %indvars.iv45, i64 %indvars.iv
%tmp = load i8, i8* %arrayidx8, align 1
%arrayidx12 = getelementptr inbounds [1024 x i8], [1024 x i8]* %B, i64 %indvars.iv, i64 %indvars.iv42
%tmp1 = load i8, i8* %arrayidx12, align 1
%mul = mul i8 %tmp1, %tmp
%arrayidx17 = getelementptr inbounds [1024 x i8], [1024 x i8]* %C, i64 %indvars.iv45, i64 %indvars.iv42
%tmp2 = load i8, i8* %arrayidx17, align 1
%add = add i8 %mul, %tmp2
store i8 %add, i8* %arrayidx17, align 1
%indvars.iv.next = add nuw nsw i64 %indvars.iv, 1
%exitcond = icmp ne i64 %indvars.iv.next, 1024
br i1 %exitcond, label %for.body6, label %for.inc20
for.inc20: ; preds = %for.body6
%indvars.iv.next43 = add nuw nsw i64 %indvars.iv42, 1
%exitcond44 = icmp ne i64 %indvars.iv.next43, 1024
br i1 %exitcond44, label %for.cond4.preheader, label %for.inc23
for.inc23: ; preds = %for.inc20
%indvars.iv.next46 = add nuw nsw i64 %indvars.iv45, 1
%exitcond47 = icmp ne i64 %indvars.iv.next46, 1024
br i1 %exitcond47, label %for.cond1.preheader, label %for.end25
for.end25: ; preds = %for.inc23
ret void
}