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IO tests
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#!/bin/bash
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# Grid's tests/IO/Test_aggregate_io on Aurora, 12 ranks per node (one per
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# tile). This is the Grid-side counterpart of MPI_benchmark/io_aurora.pbs:
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# same three paths, same comparison, but exercising the real BinaryIO.h
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# code that production uses, with Grid's checksums and its munge/endian
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# conversion in the loop. Run both -- if they disagree, the difference is
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# in Grid, not in MPI-IO.
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#
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# Submit from the BUILD directory: BIN below is $PBS_O_WORKDIR relative.
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#PBS -q debug-scaling
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#PBS -l filesystems=flare
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#PBS -l filesystems=home
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#PBS -l select=4
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#PBS -l walltime=01:00:00
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#PBS -A 15479
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##PBS -A LatticeQCD_aesp_CNDA
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cd $PBS_O_WORKDIR
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cp $PBS_NODEFILE nodefile
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##########################################################################
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# Grid source tree. Unlike io_mpi this IS a Grid binary -- SYCL, c-lime,
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# the lot -- so sourceme.sh is required, and so is the tile wrapper.
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##########################################################################
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root=$HOME/Grid/systems/Aurora # <-- adjust to your source tree
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source ${root}/sourceme.sh
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TILE=${root}/benchmarks/gpu_tile.sh
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BIN=$PBS_O_WORKDIR/tests/IO/Test_aggregate_io
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[ -x $BIN ] || { echo "no $BIN -- submit from the build directory"; exit 1; }
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[ -x $TILE ] || { echo "no $TILE -- check \$root"; exit 1; }
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export OMP_NUM_THREADS=4
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export MPICH_OFI_NIC_POLICY=GPU
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# The aggregate path's MPI_Alltoallv runs on HOST buffers, so NIC policy
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# NUMA is arguably the better match here even though GPU is the standard
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# for Grid on this machine. Worth one comparison run; do not change it
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# silently, the rest of the Grid numbers on Aurora were taken with GPU.
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#export MPICH_OFI_NIC_POLICY=NUMA
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##########################################################################
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# Test_aggregate_io writes ref.bin / agg.bin / raw.bin / trunc.bin with
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# RELATIVE paths, so they land in the cwd. Home is not the point of the
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# exercise.
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##########################################################################
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# PROJECT is the flare project DIRECTORY name, not the -A account number.
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PROJECT=LatticeQCD_aesp_CNDA
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WORK=/lus/flare/projects/$PROJECT/$USER/aggio.$PBS_JOBID
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mkdir -p $WORK || { echo "cannot create $WORK -- set PROJECT correctly"; exit 1; }
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cd $WORK
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# Leave striping at the directory default, as the Frontier runs did. At
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# 128 nodes there the aggregate path was 2.2x faster on the default layout
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# than on -c -1, while MPI-IO was 2.4x slower on it; the two paths want
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# opposite things. Set it only to reproduce that interaction, and say so.
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#lfs setstripe -c -1 -S 8M $WORK
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lfs getstripe -d $WORK 2>/dev/null || echo "(no lfs getstripe -- not Lustre?)"
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# ROMIO's own account of what the reference path did. Verbose; switch on
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# deliberately.
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#export MPICH_MPIIO_STATS=1
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#export MPICH_MPIIO_TIMERS=1
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AT=8 # accelerator threads; immaterial to an I/O test, kept canonical
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run () { # run <nodes> <grid> <mpi> <comment> [extra args...]
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local nodes=$1 gr=$2 mp=$3 note=$4
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local ntot=$(( nodes * 12 ))
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shift 4
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echo
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echo "==================================================================="
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echo "=== nodes=$nodes ranks=$ntot grid=$gr mpi=$mp $note"
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echo "=== extra: $@"
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echo "==================================================================="
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# Deliberately NOT removing ref.bin/agg.bin/raw.bin here. The test does
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# it itself (Test_aggregate_io.cc:203 and :370) for exactly the stale-tail
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# reason, and doing it in the script would destroy the files a later
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# --io-read-only job needs.
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mpiexec -np $ntot -ppn 12 -envall $TILE $BIN --mpi $mp --grid $gr \
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--shm-mpi 0 --shm 2048 --device-mem 32000 --accelerator-threads $AT "$@"
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echo "=== exit $?"
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}
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#####################################################################
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# Phase 0. Logic corners, correctness only, no bandwidth claimed.
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#
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# These run the FULL default target sweep {1, 1024, 64K, 4M}, which walks
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# k from 1 to Nd-1 and so exercises every shape of aggregation plan on a
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# volume small enough that the serial byte-for-byte file comparison is
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# affordable. 1.3 MB/rank means nothing for bandwidth and is not meant to.
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#
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# Both branches of MPI_Alltoallv are covered; the labels were checked with
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# MPI_benchmark/io_mpi, not assumed.
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#####################################################################
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run 1 16.16.16.24 2.2.1.3 "UNIFORM counts, row of 4" --io-reps 0
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run 1 12.12.24.8 2.2.3.1 "NON-UNIFORM counts, row of 12" --io-reps 0
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#####################################################################
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# Phase 1. 151 MB/rank, 3.6 GB record, 24 ranks. Correctness AND
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# performance at the production 4 MB target only -- the byte-for-byte
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# comparison reads the whole file on one rank, so the four-target sweep
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# is not affordable here.
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#####################################################################
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run 2 16.16.96.256 2.2.3.2 "3.6 GB, row of 4, 32 extents, correctness + perf" \
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--aggregate-target 4194304
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# Same volume per rank, but an odd process factor in an un-split dimension
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# puts the variable-count branch of Alltoallv where the bandwidth is real.
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run 2 24.16.64.256 3.2.2.2 "3.6 GB, NON-UNIFORM counts, row of 6, 22 extents" \
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--aggregate-target 4194304
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#####################################################################
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# Phase 2. 604 MB/rank, 29.0 GB record, 48 ranks. Correctness off.
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#
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# Per-rank volume is held at 16.16.32.128 in ALL FOUR, so the only thing
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# changing is how much work the aggregation has to do:
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#
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# 4.4.3.1 row 16 8 extents of 72 MB <- old path: 9 KB runs
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# 4.2.3.2 row 8 16 extents of 36 MB
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# 2.2.12.1 row 4 32 extents of 18 MB
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# 1.1.3.16 row 1 128 extents of 4.5 MB <- no exchange at all
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#
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# The last is the interesting control: with the fast dimensions unsplit
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# the aggregate path degenerates to plain large-extent POSIX and the
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# Alltoallv is trivial, so it separates "the transposition is cheap" from
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# "the writes are large". Note the test's own header warns that 1.1.X.Y
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# makes the CORRECTNESS section vacuous -- rows of size one exchange
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# nothing. That is fine here because correctness is off; it would not be
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# fine as a correctness run.
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#####################################################################
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run 4 64.64.96.128 4.4.3.1 "29.0 GB, row of 16" --aggregate-target 4194304 --io-no-correctness
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run 4 64.32.96.256 4.2.3.2 "29.0 GB, row of 8" --aggregate-target 4194304 --io-no-correctness
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run 4 32.32.384.128 2.2.12.1 "29.0 GB, row of 4" --aggregate-target 4194304 --io-no-correctness
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run 4 16.16.96.2048 1.1.3.16 "29.0 GB, row of 1, no exchange" \
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--aggregate-target 4194304 --io-no-correctness
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echo
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echo "=== done. Output left in $WORK"
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echo "=== For COLD read numbers, submit a second job on a fresh allocation"
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echo "=== with WORK pointed at this directory and --io-read-only added."
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echo "=== Reading back what this job just wrote only measures page cache."
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ls -l $WORK
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@@ -0,0 +1,152 @@
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#!/bin/bash -l
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#SBATCH --job-name=runIO
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#SBATCH --nodes=4
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#SBATCH --ntasks-per-node=8
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#SBATCH --cpus-per-task=7
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#SBATCH --gpus-per-node=8
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#SBATCH --time=02:00:00
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#SBATCH --account=phy157_dwf
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#SBATCH --gpu-bind=none
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#SBATCH --exclusive
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#SBATCH --mem=0
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#SBATCH -q debug
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cat << EOF > select_gpu
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#!/bin/bash
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export GPU_MAP=(0 1 2 3 7 6 5 4)
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export NUMA_MAP=(3 3 1 1 2 2 0 0)
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export GPU=\${GPU_MAP[\$SLURM_LOCALID]}
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export NUMA=\${NUMA_MAP[\$SLURM_LOCALID]}
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unset ROCR_VISIBLE_DEVICES
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export HIP_VISIBLE_DEVICES=\$GPU
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rank=\$SLURM_PROCID
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CMD="numactl -m \$NUMA -N \$NUMA \$*"
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exec \$CMD
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EOF
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chmod +x ./select_gpu
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# GPU_MAP/NUMA_MAP above describe a full node. At fewer than 8 ranks per node
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# Slurm hands each task cpus-per-task cores block-wise from core 0, so the NUMA
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# domain NUMA_MAP names is not in the task's allowed cpu mask and numactl fails
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# with EINVAL before Grid starts. The GPU choice stays valid; only the memory
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# binding does not. For the small correctness runs the binding is irrelevant,
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# so use a wrapper that picks the GCD and leaves placement to Slurm.
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cat << EOF > select_gcd
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#!/bin/bash
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export GPU_MAP=(0 1 2 3 7 6 5 4)
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export GPU=\${GPU_MAP[\$SLURM_LOCALID]}
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unset ROCR_VISIBLE_DEVICES
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export HIP_VISIBLE_DEVICES=\$GPU
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exec \$*
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EOF
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chmod +x ./select_gcd
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SELECT=$SLURM_SUBMIT_DIR/select_gpu
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SELECT_NONUMA=$SLURM_SUBMIT_DIR/select_gcd
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root=$HOME/ParallelIO/systems/Frontier/
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source ${root}/sourceme-rocm7.2.sh
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export OMP_NUM_THREADS=7
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export MPICH_GPU_SUPPORT_ENABLED=1
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# Test_aggregate_io writes ref.bin / agg.bin / trunc.bin with *relative* paths,
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# so they land in the cwd of each rank, which is the submission directory unless
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# we move. Home is NFS; the whole point of the exercise is Lustre.
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WORK=/lustre/orion/phy157/proj-shared/phy157_dwf/paboyle/aggio.$SLURM_JOB_ID
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mkdir -p $WORK
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cd $WORK
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# Striping has to be set on the directory before the files are created, and
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# all three paths inherit it, so the A/B comparison stays fair either way.
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# Left unset: at 128 nodes the aggregate path is 2.2x faster on the default
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# layout than on -c -1, while MPI-IO is 2.4x slower on it. See the table in
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# aggregate_io_scaling.slurm. Set it only to reproduce that interaction.
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#lfs setstripe -c 32 -S 8M $WORK
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lfs getstripe -d $WORK # record the inherited layout; needed to read the numbers
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BIN=$SLURM_SUBMIT_DIR/tests/IO/Test_aggregate_io
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# ROMIO / Cray MPICH collective buffering report for the reference path.
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# Verbose; switch on when you want to see what the old path is doing.
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# export MPICH_MPIIO_STATS=1
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# export MPICH_MPIIO_TIMERS=1
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# Always state ntasks-per-node explicitly. Letting srun derive it from -n
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# gives an uneven packing (3,2,2,2 for -n9 over 4 nodes) which no fixed
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# localid -> GCD map can describe. Ranks per node must not exceed 8.
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run () { # run <nodes> <ranks-per-node> <grid> <mpi> <comment> [extra args...]
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local nodes=$1 rpn=$2 gr=$3 mp=$4 note=$5 wrap=$SELECT
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local nranks=$(( $1 * $2 ))
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shift 5
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if [ $rpn -ne 8 ]; then wrap=$SELECT_NONUMA; fi # NUMA_MAP only valid at 8
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echo
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echo "==================================================================="
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echo "=== N=$nodes x $rpn = $nranks grid=$gr mpi=$mp $note"
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echo "=== extra: $@"
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echo "==================================================================="
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srun -N$nodes -n$nranks --ntasks-per-node=$rpn $wrap $BIN --grid $gr --mpi $mp \
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--accelerator-threads 8 --shm 2048 --device-mem 32000 "$@"
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echo "=== exit $?"
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}
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#####################################################################
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# Phase 0. Non-uniform AllToAllV, correctness only.
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#
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# The variable-count branch of CartesianCommunicator::AllToAllV only runs
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# when the send counts differ between destinations, which needs an odd
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# process factor in an un-split (fast) dimension. It does NOT need a toy
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# volume -- see phase 1b, which hits it at 226 MB/rank. The one small run
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# kept here is the only way to reach the non-uniform case at k=1 with many
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# extents per rank; it is a logic corner, carries --io-reps 0, and reports
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# no bandwidth. 2.2.4.4 per rank is 9 KB and means nothing for I/O.
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#####################################################################
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run 3 3 6.6.4.4 3.3.1.1 "non-uniform at all four targets, k=1 and k=3" --io-reps 0
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#####################################################################
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# Phase 1. Medium volume, 4.8 GB record, 151 MB/rank.
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# Correctness plus performance at the production 4MB target only; the
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# byte-for-byte comparison reads the whole file on one rank, so the
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# full four target sweep is not affordable above a few GB.
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#####################################################################
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run 4 8 32.32.64.128 4.4.2.1 "4.8 GB, correctness + perf" --aggregate-target 4194304
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#####################################################################
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# Phase 1b. Non-uniform AllToAllV at a volume that means something.
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# 24 ranks = 3 nodes x 8, so the NUMA map stays valid.
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# 48.48.64.64 / 3.2.2.2 k=2 row=6 <=6 extents of 13.5 MB NON-UNIFORM
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# 5.4 GB record, 226 MB/rank. Correctness and performance together, so
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# the variable-count path is covered where the bandwidth is also real.
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#####################################################################
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run 3 8 48.48.64.64 3.2.2.2 "5.4 GB, NON-UNIFORM counts, correctness + perf" --aggregate-target 4194304
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#####################################################################
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# Phase 2. Production volume, 19.3 GB record, 604 MB/rank.
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# Correctness off. Modelled extents at the 4MB target (fobj = 576 B):
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# 1.1.4.8 k=2 row=1 16 extents of 36 MB <- old path gives 36 KB runs
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# 4.4.2.1 k=2 row=16 8 extents of 72 MB <- old path gives 9 KB runs
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# 2.2.2.4 k=2 row=4 8 extents
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# 8.4.1.1 k=2 row=32 4 extents
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#####################################################################
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run 4 8 64.64.64.128 1.1.4.8 "19.3 GB, baseline decomposition" --aggregate-target 4194304 --io-no-correctness
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run 4 8 64.64.64.128 4.4.2.1 "19.3 GB, row of 32" --aggregate-target 4194304 --io-no-correctness
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run 4 8 64.64.64.128 2.2.2.4 "19.3 GB, row of 4" --aggregate-target 4194304 --io-no-correctness
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run 4 8 64.64.64.128 8.4.1.1 "19.3 GB, row of 32, x heavy" --aggregate-target 4194304 --io-no-correctness
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# 10.9 GB with non-uniform counts, 453 MB/rank, 27 MB extents, 24 ranks.
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run 3 8 48.96.64.64 3.4.2.1 "10.9 GB, NON-UNIFORM counts" --aggregate-target 4194304 --io-no-correctness
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#####################################################################
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# Phase 3. Large volume, 43.5 GB record, 1.36 GB/rank.
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# Host side buffering is 3 copies of the local slice, so ~4 GB/rank
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# and ~33 GB/node. Two repetitions only.
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#####################################################################
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run 4 8 64.64.96.192 1.1.4.8 "43.5 GB, baseline" --aggregate-target 4194304 --io-no-correctness --io-reps 2
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run 4 8 64.64.96.192 4.4.2.1 "43.5 GB, row of 32" --aggregate-target 4194304 --io-no-correctness --io-reps 2
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echo
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echo "=== done. Output left in $WORK"
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ls -l $WORK
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