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add scaling data
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parts/hpc/gs_scaling/long/run001/gs-julia-1MPI-1GPU-32622901.err

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Using CUDA as back end
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#!/bin/bash
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#SBATCH -A ntrain1
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#SBATCH -C gpu
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#SBATCH -q regular
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#SBATCH -J gs-julia-1MPI-1GPU
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#SBATCH -o %x-%j.out
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#SBATCH -e %x-%j.err
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#SBATCH -t 0:60:00
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#SBATCH -N 1
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#SBATCH -c 32
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#SBATCH --reservation=julia_MIT_2
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#export SLURM_CPU_BIND="cores"
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GS_DIR=$SCRATCH/$USER/GrayScott.jl
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GS_EXE=$GS_DIR/gray-scott.jl
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srun -n 4 -G 4 julia --project=$GS_DIR $GS_EXE settings-files.json
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{
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"L": 1024,
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"Du": 0.2,
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"Dv": 0.1,
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"F": 0.02,
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"k": 0.048,
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"dt": 1.0,
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"plotgap": 10,
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"steps": 1000,
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"noise": 0.1,
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"output": "gs-1MPI-1GPU-64L-F32-JACC-CUDA.bp",
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"checkpoint": false,
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"checkpoint_freq": 700,
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"checkpoint_output": "ckpt.bp",
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"restart": false,
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"restart_input": "ckpt.bp",
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"adios_config": "adios2.xml",
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"adios_span": false,
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"adios_memory_selection": false,
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"mesh_type": "image",
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"precision": "Float32"
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}

parts/hpc/gs_scaling/long/run002/gs-julia-1MPI-1GPU-32622922.err

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Using CUDA as back end
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Using CUDA as back end
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Using CUDA as back end
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Using CUDA as back end
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Using CUDA as back end
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Using CUDA as back end
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Using CUDA as back end
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Using CUDA as back end
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#!/bin/bash
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#SBATCH -A ntrain1
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#SBATCH -C gpu
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#SBATCH -q regular
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#SBATCH -J gs-julia-1MPI-1GPU
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#SBATCH -o %x-%j.out
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#SBATCH -e %x-%j.err
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#SBATCH -t 0:60:00
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#SBATCH -N 2
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#SBATCH -c 32
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#SBATCH --reservation=julia_MIT_2
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#export SLURM_CPU_BIND="cores"
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GS_DIR=$SCRATCH/$USER/GrayScott.jl
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GS_EXE=$GS_DIR/gray-scott.jl
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srun -n 8 -G 8 julia --project=$GS_DIR $GS_EXE settings-files.json
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{
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"L": 1024,
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"Du": 0.2,
4+
"Dv": 0.1,
5+
"F": 0.02,
6+
"k": 0.048,
7+
"dt": 1.0,
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"plotgap": 10,
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"steps": 1000,
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"noise": 0.1,
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"output": "gs-1MPI-1GPU-64L-F32-JACC-CUDA.bp",
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"checkpoint": false,
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"checkpoint_freq": 700,
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"checkpoint_output": "ckpt.bp",
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"restart": false,
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"restart_input": "ckpt.bp",
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"adios_config": "adios2.xml",
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"adios_span": false,
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"adios_memory_selection": false,
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"mesh_type": "image",
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"precision": "Float32"
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}

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