MPlib = (MPdir)/lib/libmpich.so - Linear Algebra library (BLAS) - LAinc tells the C compiler where to find the Linear Algebra library header files, LAlib is defined to be the name of the library to be used. The variable MPdir is only used for defining MPinc and MPlib. HPLlib = $(LIBdir)/libhpl.a - Message Passing library (MPI) - MPinc tells the C compiler where to find the Message Passing library header files, MPlib is defined to be the name of the library to be used. TOPdir =/root/hpl/hpl-2.0_FERMI_v15_latest TOUCH = touch - Platform identifier -ĪRCH = CUDA Set TOPdir to the location of where this is being built Make: Leaving directory `/root/hpl/hpl-2.0_FERMI_v15_latest’ make: *** Error 1 make: Leaving directory /root/hpl/hpl-2.0_FERMI_v15_latest/src/auxil/CUDA’ HPL_dlacpy.c:50: /root/hpl/hpl-2.0_FERMI_v15_latest/include/hpl_pmisc.h:54:17: fatal error: mpi.h: No such file or directory #include "mpi.h" ^ compilation terminated. HPL_dlacpy.c In file included from /root/hpl/hpl-2.0_FERMI_v15_latest/include/hpl.h:80:0, from. Make: Entering directory /root/hpl/hpl-2.0_FERMI_v15_latest/src/auxil/CUDA' /root/hpl/mpich/bin/mpicc -o HPL_dlacpy.o -c -DAdd_ -DF77_INTEGER=int -DStringSunStyle -DCUDA -I/root/hpl/hpl-2.0_FERMI_v15_latest/include -I/root/hpl/hpl-2.0_FERMI_v15_latest/include/CUDA -I-I/root/hpl/mpich/include64 -I/usr/local/cuda-9.1/include -fomit-frame-pointer -O3 -funroll-loops -W -Wall -fopenmp. ( cd src/auxil/CUDA make TOPdir=/root/hpl/hpl-2.0_FERMI_v15_latest ) Make: Leaving directory /root/hpl/hpl-2.0_FERMI_v15_latest' make -f Make.top build_src arch=CUDA make: Entering directory /root/hpl/hpl-2.0_FERMI_v15_latest’ On trying to compile HPL with the following Make.CUDA file, i’m getting error of unavailability of mpi.h file: I’ve already got compiled binaries for mpich and openBLAS and also got binaries and libraries for CUDA as well. | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. usr/local/cuda-9.1/bin/nvcc -VĬuda compilation tools, release 9.1, V9.1.85 nvidia-smi I’ve been trying to benchmark a system with NVIDIA Tesla K40c (driver version: 390.30 + cuda version 9.1).īoth nvidia driver and cuda are working fine.
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