#!/bin/bash ##############################################################

HPL-AI Mixed-Precision Benchmark v2.3d -- April 23, 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 via spack:

git clone https://github.com/SYSU-SCC/sysu-scc-spack-repo

spack repo add --scope=site sysu-scc-spack-repo

spack install sysu-scc-spack-repo.hpl-ai

spack load hpl-ai

cp spack location --install-dir hpl-ai/bin/HPL.dat HPL.dat

mpirun -n 4 xhpl_ai

##############################################################

build from source:

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 [email protected] spack load [email protected]%[email protected] spack load [email protected]%[email protected] spack load [email protected]%[email protected] spack load [email protected]%[email protected] spack load blaspp%[email protected]+openmp
^openblas%[email protected] 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_TRSM "

(generic trsm had not been implemented in [email protected]

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:

if true; then ./configure else # Note: to use device blaspp routines, you may need to # enable device support of blaspp: # # spack load blaspp%[email protected]+openmp+cuda # # and then: # ./configure
LIBS=" -lcudart -lcublas "
CPPFLAGS=" -DBLASPP_WITH_CUBLAS
-DHPLAI_DEVICE_BLASPP_GEMM
-DHPLAI_DEVICE_BLASPP_TRSM " fi

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 cat >HPL.dat <<EOF HPLinpack and HPL-AI benchmark input file National Supercomputer Center in Guangzhou, Sun Yat-sen University HPL.out output file name (if any) 6 device out (6=stdout,7=stderr,file) 1 # of problems sizes (N) 16384 131072 Ns 2 # of NBs 192 384 4096 NBs 0 PMAP process mapping (0=Row-,1=Column-major) 1 # of process grids (P x Q) 2 Ps 2 Qs 16.0 threshold 1 # of panel fact 2 1 0 PFACTs (0=left, 1=Crout, 2=Right) 1 # of recursive stopping criterium 2 8 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 2 BCASTs (0=1rg,1=1rM,2=2rg,3=2rM,4=Lng,5=LnM) 1 # of lookahead depth 1 DEPTHs (>=0) 1 SWAP (0=bin-exch,1=long,2=mix) 192 swapping threshold 1 L1 in (0=transposed,1=no-transposed) form 0 U in (0=transposed,1=no-transposed) form 1 Equilibration (0=no,1=yes) 16 memory alignment in HPLAI_T_AFLOAT (> 0) EOF else cp testing/ptest/HPL.dat HPL.dat fi

Finally run and compare with the original hpl-2.3:

OMP_NUM_THREADS=2 $(which mpirun) -n 4 testing/xhpl OMP_NUM_THREADS=2 $(which mpirun) -n 4 testing/xhpl_ai

If you download HPL-AI via git, you can clean the builds by:

git clean -d -f -q

##############################################################

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.

##############################################################