now uses Linpack's built-in error detection logic.
works with latest Intel Linpack binaries.
#Linpack benchmark linux install
install mpich-devel package (done and can see /usr/include/mpi.h file on my local file system but still the error persists, also tried copying the entire include folder into cpmpile mpich folder under hpl folder but still the issue remains)Ĭan someone help me with this? I’ve been trying to debug this for long.Review by Bogdan Popa on AugWhat's new in LinX 0.6.5:.
HPL_DEFS = (F2CDEFS) (HPL_OPTS) $(HPL_INCLUDES) - Compilers / linkers - Optimization flags - next two lines for GNU Compilers:ĬCFLAGS = $(HPL_DEFS) -fomit-frame-pointer -O3 -funroll-loops -W -Wall -fopenmp next two lines for Intel Compilers: CC = mpicc CCFLAGS = $(HPL_DEFS) -O3 -axS -w -fomit-frame-pointer -funroll-loops -openmpĬCNOOPT = $(HPL_DEFS) -O0 -w On some platforms, it is necessary to use the Fortran linker to find the Fortran internals used in the BLAS library. HPL_LIBS = (HPLlib) (LAlib) (MPlib) - Compile time options -DHPL_COPY_L force the copy of the panel L before bcast -DHPL_CALL_CBLAS call the cblas interface -DHPL_DETAILED_TIMING enable detailed timers -DASYOUGO enable timing information as you go (nonintrusive) -DASYOUGO2 slightly intrusive timing information -DASYOUGO2_DISPLAY display detailed DGEMM information -DENDEARLY end the problem early -DFASTSWAP insert to use DLASWP instead of HPL code By default HPL will: *) not copy L before broadcast, *) call the BLAS Fortran 77 interface, *) not display detailed timing information. HPL_INCLUDES = -I$(INCdir) -I$(INCdir)/ (ARCH) (LAinc) (MPinc) -I/usr/local/cuda-9.1/include LAlib = -L (TOPdir)/src/cuda -ldgemm -L/usr/local/cuda-9.1/lib64 -lcuda -lcudart -lcublas -L(LAdir)/libopenblas.so - F77 / C interface -į2CDEFS = -DAdd_ -DF77_INTEGER=int -DStringSunStyle - HPL includes / libraries / specifics. #LAlib = -L /home/cuda/Fortran_Cuda_Blas -ldgemm -L/usr/local/cuda/lib -lcublas -L$(LAdir) -lmkl -lguide -lpthread The variable LAdir is only used for defining LAinc and LAlib. 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
#Linpack benchmark linux driver
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.