creating branch for adding support for CUDA 3.x and Fermi

[git-p4: depot-paths = "//depot/gpgpu_sim_research/fermi/distribution/": change = 6829]

1 files changed, 156 insertions, 0 deletions

diff --git a/benchmarks/CUDA/template/template.cu b/benchmarks/CUDA/template/template.cu
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+/*
+ * Copyright 1993-2007 NVIDIA Corporation.  All rights reserved.
+ *
+ * NOTICE TO USER:
+ *
+ * This source code is subject to NVIDIA ownership rights under U.S. and
+ * international Copyright laws.  Users and possessors of this source code
+ * are hereby granted a nonexclusive, royalty-free license to use this code
+ * in individual and commercial software.
+ *
+ * NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE
+ * CODE FOR ANY PURPOSE.  IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR
+ * IMPLIED WARRANTY OF ANY KIND.  NVIDIA DISCLAIMS ALL WARRANTIES WITH
+ * REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF
+ * MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
+ * IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL,
+ * OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS
+ * OF USE, DATA OR PROFITS,  WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE
+ * OR OTHER TORTIOUS ACTION,  ARISING OUT OF OR IN CONNECTION WITH THE USE
+ * OR PERFORMANCE OF THIS SOURCE CODE.
+ *
+ * U.S. Government End Users.   This source code is a "commercial item" as
+ * that term is defined at  48 C.F.R. 2.101 (OCT 1995), consisting  of
+ * "commercial computer  software"  and "commercial computer software
+ * documentation" as such terms are  used in 48 C.F.R. 12.212 (SEPT 1995)
+ * and is provided to the U.S. Government only as a commercial end item.
+ * Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through
+ * 227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the
+ * source code with only those rights set forth herein.
+ *
+ * Any use of this source code in individual and commercial software must
+ * include, in the user documentation and internal comments to the code,
+ * the above Disclaimer and U.S. Government End Users Notice.
+ */
+
+/* Template project which demonstrates the basics on how to setup a project 
+* example application.
+* Host code.
+*/
+
+// includes, system
+#include <stdlib.h>
+#include <stdio.h>
+#include <string.h>
+#include <math.h>
+
+// includes, project
+#include <cutil_inline.h>
+
+// includes, kernels
+#include <template_kernel.cu>
+
+////////////////////////////////////////////////////////////////////////////////
+// declaration, forward
+void runTest( int argc, char** argv);
+
+extern "C"
+void computeGold( float* reference, float* idata, const unsigned int len);
+
+////////////////////////////////////////////////////////////////////////////////
+// Program main
+////////////////////////////////////////////////////////////////////////////////
+int
+main( int argc, char** argv) 
+{
+    runTest( argc, argv);
+
+    cutilExit(argc, argv);
+}
+
+////////////////////////////////////////////////////////////////////////////////
+//! Run a simple test for CUDA
+////////////////////////////////////////////////////////////////////////////////
+void
+runTest( int argc, char** argv) 
+{
+	// use command-line specified CUDA device, otherwise use device with highest Gflops/s
+	if( cutCheckCmdLineFlag(argc, (const char**)argv, "device") )
+		cutilDeviceInit(argc, argv);
+	else
+		cudaSetDevice( cutGetMaxGflopsDeviceId() );
+
+    unsigned int timer = 0;
+    cutilCheckError( cutCreateTimer( &timer));
+    cutilCheckError( cutStartTimer( timer));
+
+    unsigned int num_threads = 32;
+    unsigned int mem_size = sizeof( float) * num_threads;
+
+    // allocate host memory
+    float* h_idata = (float*) malloc( mem_size);
+    // initalize the memory
+    for( unsigned int i = 0; i < num_threads; ++i) 
+    {
+        h_idata[i] = (float) i;
+    }
+
+    // allocate device memory
+    float* d_idata;
+    cutilSafeCall( cudaMalloc( (void**) &d_idata, mem_size));
+    // copy host memory to device
+    cutilSafeCall( cudaMemcpy( d_idata, h_idata, mem_size,
+                                cudaMemcpyHostToDevice) );
+
+    // allocate device memory for result
+    float* d_odata;
+    cutilSafeCall( cudaMalloc( (void**) &d_odata, mem_size));
+
+    // setup execution parameters
+    dim3  grid( 1, 1, 1);
+    dim3  threads( num_threads, 1, 1);
+
+    // execute the kernel
+    testKernel<<< grid, threads, mem_size >>>( d_idata, d_odata);
+
+    // check if kernel execution generated and error
+    cutilCheckMsg("Kernel execution failed");
+
+    // allocate mem for the result on host side
+    float* h_odata = (float*) malloc( mem_size);
+    // copy result from device to host
+    cutilSafeCall( cudaMemcpy( h_odata, d_odata, sizeof( float) * num_threads,
+                                cudaMemcpyDeviceToHost) );
+
+    cutilCheckError( cutStopTimer( timer));
+    printf( "Processing time: %f (ms)\n", cutGetTimerValue( timer));
+    cutilCheckError( cutDeleteTimer( timer));
+
+    // compute reference solution
+    float* reference = (float*) malloc( mem_size);
+    computeGold( reference, h_idata, num_threads);
+
+    // check result
+    if( cutCheckCmdLineFlag( argc, (const char**) argv, "regression")) 
+    {
+        // write file for regression test
+        cutilCheckError( cutWriteFilef( "./data/regression.dat",
+                                      h_odata, num_threads, 0.0));
+    }
+    else 
+    {
+        // custom output handling when no regression test running
+        // in this case check if the result is equivalent to the expected soluion
+        CUTBoolean res = cutComparef( reference, h_odata, num_threads);
+        printf( "Test %s\n", (1 == res) ? "PASSED" : "FAILED");
+    }
+
+    // cleanup memory
+    free( h_idata);
+    free( h_odata);
+    free( reference);
+    cutilSafeCall(cudaFree(d_idata));
+    cutilSafeCall(cudaFree(d_odata));
+
+    cudaThreadExit();
+}