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Showing content from https://github.com/Multi2Sim/m2s-bench-amdsdk-2.5-src below:

Multi2Sim/m2s-bench-amdsdk-2.5-src: AMD Software Development Kit 2.5 Sources

##Build Instructions

All of the benchmark host programs can be built by running the make command from the top level directory. This will create both a static and dynamically linked version of the host program. The GPU binaries for each benchmark are all provided pre-compiled. The provided Makefile assumes that Multi2Sim source has been downloaded onto the home folder of the user's system in a folder called 'multi2sim'. Furthermore, the user copy of Multi2Sim should have been configured and built according to the instructions provided at https://www.multi2sim.org/development/multi2sim.php. The building of the benchmarks was tested on a system running Ubuntu 14.04, Linux kernel 3.13.0-32-generic, and GCC 4.8.4

In addition, the user can create a tarball of the statically linked host programs and GPU kernel binaries by running make dist.

Note: BoxFilterGL, Mandelbrot, and NBody will not be built due to the OpenGL requirements of the benchmarks.

##Run Instructions

All of the benchmarks can be run by providing the Multi2Sim binary, the benchmark host program, and the GPU binary via the --load command:

`<multi2sim_binary> <benchmark_host_program> --load <benchmark_GPU_binary>`

For example, running the BinarySearch benchmark would be done in the following manner:

`multisim/bin/m2s m2s-bench-amdapp-2.5/BinarySearch/BinarySearch --load BinarySearch/BinarySearch_Kernels.bin`

Each of the benchmarks provides several command line options which can be explored via the --help option such as a verification option which will run the GPU binary as well as a CPU only implementation of the benchmark to compare the GPU results against.

##Support on Multi2Sim

Benchmark Disassembly Emulation AESEncryptDecrypt No No BinarySearch Yes Yes BinomialOption Yes Yes BitonicSort Yes Yes BlackScholes Yes Yes BoxFilter No No BoxFilterGL No No DCT Yes Yes DeviceFission Yes No DwtHaar1D Yes Yes EigenValue Yes Yes FFT Yes Yes FastWalshTransform Yes Yes FloydWarshall Yes Yes FluidSimulation2D No No Histogram Yes Yes HistogramAtomics No No Mandelbrot No No MatrixMulImage Yes No MatrixMultiplication Yes Yes MatrixTranspose Yes Yes MemoryOptimizations No No MersenneTwister Yes Yes MonteCarloAsian Yes No MonteCarloAsianDP Yes No NBody No No PrefixSum Yes Yes QuasiRandomSequence Yes Yes RadixSort Yes Yes RecursiveGaussian Yes Yes Reduction Yes Yes ScanLargeArrays Yes Yes SimpleConvolution Yes Yes SimpleImage No Yes SobelFilter Yes Yes URNG Yes Yes

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