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authorArtem Belevich <tra@google.com>2016-05-19 18:44:45 +0000
committerArtem Belevich <tra@google.com>2016-05-19 18:44:45 +0000
commit31c3bad4999dbe8757ec55dc658a427f9985947a (patch)
tree0e5b2cfa71981a3de67335a36b5bddb7effebfdd /clang/test/CodeGenCUDA
parentcb2d2663607e3d4963f7d670e37ade81037ae50d (diff)
downloadbcm5719-llvm-31c3bad4999dbe8757ec55dc658a427f9985947a.tar.gz
bcm5719-llvm-31c3bad4999dbe8757ec55dc658a427f9985947a.zip
[CUDA] Enable fusing FP ops (-ffp-contract=fast) for CUDA by default.
This matches default nvcc behavior and gives substantial performance boost on GPU where fmad is much cheaper compared to add+mul. Differential Revision: http://reviews.llvm.org/D20341 llvm-svn: 270094
Diffstat (limited to 'clang/test/CodeGenCUDA')
-rw-r--r--clang/test/CodeGenCUDA/fp-contract.cu32
1 files changed, 32 insertions, 0 deletions
diff --git a/clang/test/CodeGenCUDA/fp-contract.cu b/clang/test/CodeGenCUDA/fp-contract.cu
new file mode 100644
index 00000000000..070ebaea44e
--- /dev/null
+++ b/clang/test/CodeGenCUDA/fp-contract.cu
@@ -0,0 +1,32 @@
+// REQUIRES: x86-registered-target
+// REQUIRES: nvptx-registered-target
+
+// By default we should fuse multiply/add into fma instruction.
+// RUN: %clang_cc1 -fcuda-is-device -triple nvptx-nvidia-cuda -S \
+// RUN: -disable-llvm-passes -o - %s | FileCheck -check-prefix ENABLED %s
+
+// Explicit -ffp-contract=fast
+// RUN: %clang_cc1 -fcuda-is-device -triple nvptx-nvidia-cuda -S \
+// RUN: -ffp-contract=fast -disable-llvm-passes -o - %s \
+// RUN: | FileCheck -check-prefix ENABLED %s
+
+// Explicit -ffp-contract=on -- fusing by front-end (disabled).
+// RUN: %clang_cc1 -fcuda-is-device -triple nvptx-nvidia-cuda -S \
+// RUN: -ffp-contract=on -disable-llvm-passes -o - %s \
+// RUN: | FileCheck -check-prefix DISABLED %s
+
+// Explicit -ffp-contract=off should disable instruction fusing.
+// RUN: %clang_cc1 -fcuda-is-device -triple nvptx-nvidia-cuda -S \
+// RUN: -ffp-contract=off -disable-llvm-passes -o - %s \
+// RUN: | FileCheck -check-prefix DISABLED %s
+
+
+#include "Inputs/cuda.h"
+
+__host__ __device__ float func(float a, float b, float c) { return a + b * c; }
+// ENABLED: fma.rn.f32
+// ENABLED-NEXT: st.param.f32
+
+// DISABLED: mul.rn.f32
+// DISABLED-NEXT: add.rn.f32
+// DISABLED-NEXT: st.param.f32
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