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Below are known working versions of repos and toolchain. It is recommended that you configure and build gem5 before attempting to build gem5-gpuPrior Known Working Combinations:
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Before 8/26/2015Before 2/10/2015Before 9/25/2014
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SIMULATOR VERSION INFORMATION:
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gem5-revision11060 or 11061106451023710237
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GPGPU-Simv3.2.2v3.2.2v3.2.2v3.0.2
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gpgpu-sim-shacc61b09b46c25c1ce491bf80808b9c6fe6cd0b7ecc61b09b46c25c1ce491bf80808b9c6fe6cd0b7ecc61b09b46c25c1ce491bf80808b9c6fe6cd0b7eeba2a2a97aa7b510bc316fe9913c641881d5628d
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VERSION INFORMATION FOR BUILDING BENCHMARKS:
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gcc/g++ (to build x86)4.4.3, 4.4.6, 4.4.7, 4.6.3gcc-4.4 is known to work for building GPU CUDA benchmarks as well, gcc-4.6 fails for some4.4.3, 4.4.6, 4.4.7, 4.6.34.4.3, 4.4.6, 4.4.7, 4.6.34.4.3, 4.4.6, 4.4.7, 4.6.3
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gcc/g++ (to build ARM)4.6.3gcc-4.4 is known to have issues building gem5-gpu for the ARM target4.6.34.6.3
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arm-linux-gnueabihf-*4.6.3, 4.8.2You'll need gcc, g++ and binutils for ARM cross-compilation. NOTE: you may need to ensure that the common/common.mk makefile is able to find C++ and libc include files appropriate for the compilation combination that you're using. These can be found in /usr/include/c++/4.X, and /usr/arm-linux-gnueabihf/include. If you run into compile errors, open the offending .cu.cpp source file and find included files that point to x86 versions. Append to the include paths in common/common.mk the include locations for ARM versions of these files.4.6.3, 4.8.24.6.3, 4.8.24.6.3
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VERSION INFORMATION FOR BUILDING GEM5-GPU:
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python2.7.2, 2.7.32.7.2, 2.7.32.7.2, 2.7.32.7.2, 2.7.3
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scons2.0.0, 2.0.1, 2.1.02.0.0, 2.0.1, 2.1.02.0.0, 2.0.1, 2.1.02.0.0, 2.0.1, 2.1.0
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swig1.3.40, 2.0.41.3.40, 2.0.41.3.40, 2.0.41.3.40, 2.0.4
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gcc/g++ (to build gem5-gpu)4.7NOTE: gem5 now requires at least gcc 4.7 to build. Specify "CC=gcc-4.7 CXX=g++-4.7" to scons4.64.4, 4.64.4, 4.6
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CUDA3.1, 3.2 (x86 64-bit)Legacy download link: https://developer.nvidia.com/cuda-toolkit-32-downloads3.1, 3.2 (x86 64-bit)3.1, 3.2 (x86 64-bit)3.1, 3.2 (x86 64-bit)
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For x86 full system simulation, we recommend the Linux kernel 2.6.28.4 found on the site:http://www.cs.utexas.edu/~parsec_m5/For x86 full system simulation, we recommend the Linux kernel 2.6.28.4 found on the site:
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For ARM full system simulation, we know that the aarch32 kernel will boot in gem5 with the classic memory model. More testing is required for Ruby and gem5-gpu:http://www.gem5.org/dist/current/arm/aarch-system-2014-10.tar.xzFor ARM full system simulation, we know that the aarch32 kernel will boot in gem5 with the classic memory model. More testing is required for Ruby and gem5-gpu:
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Key: Recent Changes
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supports gem5-gpu up to revision 270
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