mirror of
https://github.com/NVIDIA/cuda-samples.git
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59 lines
2.5 KiB
LLVM
59 lines
2.5 KiB
LLVM
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; Copyright (c) 2014-2023, NVIDIA CORPORATION. All rights reserved.
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;
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; Redistribution and use in source and binary forms, with or without
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; modification, are permitted provided that the following conditions
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; are met:
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; * Redistributions of source code must retain the above copyright
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; notice, this list of conditions and the following disclaimer.
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; * Redistributions in binary form must reproduce the above copyright
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; notice, this list of conditions and the following disclaimer in the
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; documentation and/or other materials provided with the distribution.
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; * Neither the name of NVIDIA CORPORATION nor the names of its
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; contributors may be used to endorse or promote products derived
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; from this software without specific prior written permission.
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;
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; THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
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; EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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; IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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; PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
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; CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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; EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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; PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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; PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
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; OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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; (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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; OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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; This NVVM IR program shows how to use unsize external shared memory.
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; What it does is similar to the following CUDA C code.
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;
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; extern __shared__ int a[];
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;
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; __global__ void foo()
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; {
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; int *p1 = a;
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; float *p2 = (float *)&a[10];
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;
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; *p1 = 10;
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; *p2 = 21.0f;
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; }
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;
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target datalayout = "e-p:64:64:64-i1:8:8-i8:8:8-i16:16:16-i32:32:32-i64:64:64-i128:128:128-f32:32:32-f64:64:64-v16:16:16-v32:32:32-v64:64:64-v128:128:128-n16:32:64"
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target triple = "nvptx64-nvidia-cuda"
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@a = external addrspace(3) global [0 x i32]
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define void @foo() {
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entry:
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store i32 10, i32 addrspace(3)* getelementptr inbounds ([0 x i32], [0 x i32] addrspace(3)* @a, i64 0, i64 0), align 4
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store float 2.100000e+01, float addrspace(3)* bitcast (i32 addrspace(3)* getelementptr inbounds ([0 x i32], [0 x i32] addrspace(3)* @a, i64 0, i64 10) to float addrspace(3)*), align 4
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ret void
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}
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!nvvm.annotations = !{!0}
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!0 = !{void ()* @foo, !"kernel", i32 1}
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!nvvmir.version = !{!1}
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!1 = !{i32 2, i32 0}
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