From d3d0b38b90f14660ecb6243373daa921f8ae02b1 Mon Sep 17 00:00:00 2001
From: Tor Aamodt <aamodt@ece.ubc.ca>
Date: Sat, 17 Jul 2010 10:29:05 -0800
Subject: integrating Wilson's bugfixes from release branch

[git-p4: depot-paths = "//depot/gpgpu_sim_research/fermi/distribution/": change = 6869]
---
 benchmarks/CUDA/DirectedTests/Makefile       |  3 +
 benchmarks/CUDA/DirectedTests/TextureTest.cu | 96 ++++++++++++++++++++++++++++
 2 files changed, 99 insertions(+)
 create mode 100644 benchmarks/CUDA/DirectedTests/Makefile
 create mode 100644 benchmarks/CUDA/DirectedTests/TextureTest.cu

(limited to 'benchmarks/CUDA/DirectedTests')

diff --git a/benchmarks/CUDA/DirectedTests/Makefile b/benchmarks/CUDA/DirectedTests/Makefile
new file mode 100644
index 0000000..2c09c1c
--- /dev/null
+++ b/benchmarks/CUDA/DirectedTests/Makefile
@@ -0,0 +1,3 @@
+
+TextureTest: TextureTest.cu
+	nvcc -g -o TextureTest TextureTest.cu 
diff --git a/benchmarks/CUDA/DirectedTests/TextureTest.cu b/benchmarks/CUDA/DirectedTests/TextureTest.cu
new file mode 100644
index 0000000..42131a5
--- /dev/null
+++ b/benchmarks/CUDA/DirectedTests/TextureTest.cu
@@ -0,0 +1,96 @@
+#include <stdio.h>
+#include <stdlib.h>
+
+#include <cuda_runtime.h>
+#include <cuda.h>
+
+#define TEXSIZE 4096
+texture<float4, 1, cudaReadModeElementType> texData;
+
+void cuda_errcheck(const char *msg) {
+  cudaError_t err;
+  if ((err = cudaGetLastError()) != cudaSuccess) {
+    char errmsg[1024];
+    sprintf(errmsg,"CUDA error %s: %s", msg, cudaGetErrorString(err));
+  }
+}
+
+void cuda_bind_texture_data(const float4 *t) {
+    static cudaArray *ct;
+    if ( ! ct ) {
+      cudaMallocArray(&ct, &texData.channelDesc, TEXSIZE, 1);
+      cuda_errcheck("allocating texDataArray");
+    }     cudaMemcpyToArray(ct, 0, 0, t, TEXSIZE*sizeof(float4), cudaMemcpyHostToDevice); 
+    cuda_errcheck("memcpy to texDataArray");
+
+    texData.normalized = true;
+    texData.addressMode[0] = cudaAddressModeClamp;
+    texData.addressMode[1] = cudaAddressModeClamp;
+    texData.filterMode = cudaFilterModeLinear;
+
+    cudaBindTextureToArray(texData, ct);
+    cuda_errcheck("binding texDataArray to texture");
+}
+
+
+__global__ void testKernel(float4 *data, float *coord)
+{
+    int gsize = blockDim.x * gridDim.x;
+    int gid = threadIdx.x + blockDim.x * blockIdx.x;
+
+    float norm_coord = (float)(gid + 32) / gsize;
+
+    data[gid] = tex1D(texData, norm_coord);
+    coord[gid] = norm_coord;
+}
+
+#define NUMTHREADS (TEXSIZE * 4)
+
+int main(int argc, char *argv[])
+{
+    float4 h_texData[TEXSIZE];
+
+    for (int t = 0; t < TEXSIZE; t++) {
+        h_texData[t].x = t + 10000;
+        h_texData[t].y = t + 20000;
+        h_texData[t].z = t + 30000;
+        h_texData[t].w = t + 40000;
+    }
+
+    float4 *h_output = new float4[NUMTHREADS];
+    float4 *d_output;
+    cudaMalloc(&d_output, NUMTHREADS * sizeof(float4));
+    cuda_errcheck("output malloc");
+
+    float *h_coord = new float[NUMTHREADS];
+    float *d_coord;
+    cudaMalloc(&d_coord, NUMTHREADS * sizeof(float));
+    cuda_errcheck("coord malloc");
+
+    cudaSetDevice(0);
+    cuda_errcheck("device init");
+
+    cuda_bind_texture_data(h_texData);
+
+    dim3 dimBlock(256, 1, 1);
+    dim3 dimGrid(NUMTHREADS / 256, 1, 1);
+
+    testKernel<<<dimGrid, dimBlock>>> (d_output, d_coord);
+    cuda_errcheck("kernel launch");
+
+    cudaThreadSynchronize();
+
+    cudaMemcpy(h_output, d_output, NUMTHREADS * sizeof(float4), cudaMemcpyDeviceToHost);
+    cuda_errcheck("output copy");
+
+    cudaMemcpy(h_coord, d_coord, NUMTHREADS * sizeof(float), cudaMemcpyDeviceToHost);
+    cuda_errcheck("coord copy");
+
+    for (int t = 0; t < NUMTHREADS; t++) {
+        printf("output[%d] (%.06f) = (%5.3f, %5.3f, %5.3f, %5.3f)\n", t, h_coord[t], 
+            h_output[t].x, h_output[t].y, h_output[t].z, h_output[t].w);
+    }
+
+    return 0;
+}
+
-- 
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