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An implement of HPL-AI Mixed-Precision Benchmark based on hpl-2.3
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schuangs/HPL-AI
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#!/bin/bash ############################################################## # # HPL-AI Mixed-Precision Benchmark v2.3a -- March 14, 2021 # ############################################################## # # Check out <https://wu-kan.cn/_posts/2021-03-14-HPL-AI/> for # the full document and the latest information. # ############################################################## # # A quick start to build and run a few tests: ./README # First the following softwares are required on your system: # C&C++ compiler, autoconf, autoconf-archive, automake, mpi, # blas, blaspp # # You can easily install and load the requirements via spack # <https://github.com/spack/spack/releases/tag/v0.16.1>. # # I just tested with the followings, while other versions or # libraries might work as well: spack unload -a spack load gcc@7.5.0 spack load autoconf@2.69%gcc@7.5.0 spack load autoconf-archive@2019.01.06%gcc@7.5.0 spack load automake@1.16.2%gcc@7.5.0 spack load openmpi@3.1.6%gcc@7.5.0~cxx~cxx_exceptions spack load blaspp@2020.10.02%gcc@7.5.0+openmp~cuda \ ^openblas@0.3.5%gcc@7.5.0 threads=openmp # Then boostrap the configuration files by typing: autoreconf -ivf # The user is given the opportunity to compile the software # with some specific compile options: # # CPPFLAGS=" -DHPLAI_T_AFLOAT=double " # # CPPFLAGS=" -DHPLAI_DEVICE_BLASPP_GEMM " # # CPPFLAGS=" -DHPLAI_DEVICE_BLASPP_TRSM " # # CPPFLAGS=" -DHPLAI_GEN_BLASPP_GEMM " # # CPPFLAGS=" -DHPLAI_GEN_BLASPP_TRSM " # # CPPFLAGS=" -DHPLAI_GEN_BLASPP_TRSV " # # CPPFLAGS=" -DHPLAI_PMAT_REGEN " # # CPPFLAGS=" -DHPL_COPY_L " # # CPPFLAGS=" -DHPL_CALL_CBLAS " # # CPPFLAGS=" -DHPL_CALL_VSIPL " # (deperated) # # CPPFLAGS=" -DHPL_DETAILED_TIMING " # (deperated) # # To configure the build and prepare for compilation run: ./configure # Note: to use device blaspp routines, you may need to enable # CUDA support of blaspp: # # spack load blaspp@2020.10.02%gcc@7.5.0+openmp+cuda # # and then: # # ./configure \ # LIBS=" -lcudart -lcublas " \ # CPPFLAGS=" -DBLASPP_WITH_CUBLAS \ # -DHPLAI_DEVICE_BLASPP_GEMM \ # -DHPLAI_DEVICE_BLASPP_TRSM " # Then compile: make -j # The configuration file must be called HPL.dat. # # You can copy the configuration file from the original HPL, # or create a configuration file anew. # # Most of the performance parameters can be tuned. if true; then cp testing/ptest/HPL.dat HPL.dat else cat >HPL.dat <<EOF HPLinpack benchmark input file Innovative Computing Laboratory, University of Tennessee HPL.out output file name (if any) 6 device out (6=stdout,7=stderr,file) 1 # of problems sizes (N) 16384 143360 Ns 1 # of NBs 384 192 256 NBs 1 PMAP process mapping (0=Row-,1=Column-major) 1 # of process grids (P x Q) 2 1 4 Ps 2 4 1 Qs 16.0 threshold 1 # of panel fact 2 1 0 PFACTs (0=left, 1=Crout, 2=Right) 1 # of recursive stopping criterium 2 NBMINs (>= 1) 1 # of panels in recursion 2 NDIVs 1 # of recursive panel fact. 2 1 0 RFACTs (0=left, 1=Crout, 2=Right) 1 # of broadcast 0 BCASTs (0=1rg,1=1rM,2=2rg,3=2rM,4=Lng,5=LnM) 1 # of lookahead depth 0 DEPTHs (>=0) 0 SWAP (0=bin-exch,1=long,2=mix) 1 swapping threshold 1 L1 in (0=transposed,1=no-transposed) form 1 U in (0=transposed,1=no-transposed) form 0 Equilibration (0=no,1=yes) 8 memory alignment in double (> 0) EOF fi # Finally run and compare with the original hpl-2.3: mpiexec -n 4 -x OMP_NUM_THREADS=2 testing/xhpl mpiexec -n 4 -x OMP_NUM_THREADS=2 testing/xhplai # If you download HPL-AI via git, you can clean the builds by: git clean -d -f -q -x ############################################################## # # The newest version of HPL-AI is available at # <https://github.com/wu-kan/HPL-AI/releases> # ############################################################## # # Bugs are tracked at # <https://github.com/wu-kan/HPL-AI/issues> # ############################################################## # # The souce code of HPL-AI is licensed under `COPYING`. # # The souce code of hpl-2.3 is licensed under `COPYRIGHT`. # ##############################################################
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An implement of HPL-AI Mixed-Precision Benchmark based on hpl-2.3
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