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https://github.com/smyalygames/FiniteVolumeGPU_HIP.git
synced 2025-05-18 06:24:11 +02:00
refactor: change MPI functions into variables
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parent
2e5cf88eef
commit
5b925cdb42
@ -70,7 +70,7 @@ def hip_check(call_result):
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args = parser.parse_args()
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args = parser.parse_args()
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if(args.profile):
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if args.profile:
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profiling_data = {}
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profiling_data = {}
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# profiling: total run time
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# profiling: total run time
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t_total_start = time.time()
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t_total_start = time.time()
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@ -79,6 +79,8 @@ if(args.profile):
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# Get MPI COMM to use
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# Get MPI COMM to use
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comm = MPI.COMM_WORLD
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comm = MPI.COMM_WORLD
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size = comm.Get_size()
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rank = comm.Get_rank()
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####
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####
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@ -86,7 +88,7 @@ comm = MPI.COMM_WORLD
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####
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####
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log_level_console = 20
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log_level_console = 20
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log_level_file = 10
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log_level_file = 10
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log_filename = 'mpi_' + str(comm.rank) + '.log'
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log_filename = 'mpi_' + str(rank) + '.log'
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logger = logging.getLogger('GPUSimulators')
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logger = logging.getLogger('GPUSimulators')
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logger.setLevel(min(log_level_console, log_level_file))
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logger.setLevel(min(log_level_console, log_level_file))
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@ -110,7 +112,7 @@ logger.info("File logger using level %s to %s",
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# Initialize MPI grid etc
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# Initialize MPI grid etc
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####
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####
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logger.info("Creating MPI grid")
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logger.info("Creating MPI grid")
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grid = MPISimulator.MPIGrid(MPI.COMM_WORLD)
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grid = MPISimulator.MPIGrid(comm)
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"""
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"""
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job_id = int(os.environ["SLURM_JOB_ID"])
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job_id = int(os.environ["SLURM_JOB_ID"])
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@ -152,7 +154,7 @@ gamma = 1.4
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#save_times = np.linspace(0, 0.000099, 11)
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#save_times = np.linspace(0, 0.000099, 11)
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#save_times = np.linspace(0, 0.000099, 2)
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#save_times = np.linspace(0, 0.000099, 2)
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save_times = np.linspace(0, 0.0000999, 2)
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save_times = np.linspace(0, 0.0000999, 2)
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outfile = "mpi_out_" + str(MPI.COMM_WORLD.rank) + ".nc"
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outfile = "mpi_out_" + str(rank) + ".nc"
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save_var_names = ['rho', 'rho_u', 'rho_v', 'E']
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save_var_names = ['rho', 'rho_u', 'rho_v', 'E']
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arguments = IC.genKelvinHelmholtz(nx, ny, gamma, grid=grid)
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arguments = IC.genKelvinHelmholtz(nx, ny, gamma, grid=grid)
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@ -160,7 +162,7 @@ arguments['context'] = cuda_context
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arguments['theta'] = 1.2
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arguments['theta'] = 1.2
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arguments['grid'] = grid
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arguments['grid'] = grid
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if(args.profile):
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if args.profile:
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t_init_end = time.time()
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t_init_end = time.time()
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t_init = t_init_end - t_init_start
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t_init = t_init_end - t_init_start
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profiling_data["t_init"] = t_init
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profiling_data["t_init"] = t_init
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@ -181,14 +183,14 @@ def genSim(grid, **kwargs):
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(outfile, sim_runner_profiling_data, sim_profiling_data) = Common.runSimulation(
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(outfile, sim_runner_profiling_data, sim_profiling_data) = Common.runSimulation(
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genSim, arguments, outfile, save_times, save_var_names, dt)
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genSim, arguments, outfile, save_times, save_var_names, dt)
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if(args.profile):
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if args.profile:
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t_total_end = time.time()
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t_total_end = time.time()
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t_total = t_total_end - t_total_start
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t_total = t_total_end - t_total_start
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profiling_data["t_total"] = t_total
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profiling_data["t_total"] = t_total
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print("Total run time on rank " + str(MPI.COMM_WORLD.rank) + " is " + str(t_total) + " s")
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print("Total run time on rank " + str(rank) + " is " + str(t_total) + " s")
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# write profiling to json file
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# write profiling to json file
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if(args.profile and MPI.COMM_WORLD.rank == 0):
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if args.profile and rank == 0:
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job_id = ""
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job_id = ""
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if "SLURM_JOB_ID" in os.environ:
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if "SLURM_JOB_ID" in os.environ:
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job_id = int(os.environ["SLURM_JOB_ID"])
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job_id = int(os.environ["SLURM_JOB_ID"])
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@ -199,7 +201,7 @@ if(args.profile and MPI.COMM_WORLD.rank == 0):
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str(job_id) + "_" + str(allocated_nodes) + "_nodes_and_" + str(allocated_gpus) + "_GPUs_profiling.json"
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str(job_id) + "_" + str(allocated_nodes) + "_nodes_and_" + str(allocated_gpus) + "_GPUs_profiling.json"
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profiling_data["outfile"] = outfile
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profiling_data["outfile"] = outfile
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else:
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else:
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profiling_file = "MPI_" + str(MPI.COMM_WORLD.size) + "_procs_and_" + str(num_cuda_devices) + "_GPUs_profiling.json"
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profiling_file = "MPI_" + str(size) + "_procs_and_" + str(num_cuda_devices) + "_GPUs_profiling.json"
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for stage in sim_runner_profiling_data["start"].keys():
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for stage in sim_runner_profiling_data["start"].keys():
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profiling_data[stage] = sim_runner_profiling_data["end"][stage] - sim_runner_profiling_data["start"][stage]
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profiling_data[stage] = sim_runner_profiling_data["end"][stage] - sim_runner_profiling_data["start"][stage]
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@ -214,7 +216,7 @@ if(args.profile and MPI.COMM_WORLD.rank == 0):
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profiling_data["slurm_job_id"] = job_id
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profiling_data["slurm_job_id"] = job_id
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profiling_data["n_cuda_devices"] = str(num_cuda_devices)
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profiling_data["n_cuda_devices"] = str(num_cuda_devices)
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profiling_data["n_processes"] = str(MPI.COMM_WORLD.size)
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profiling_data["n_processes"] = str(size)
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profiling_data["git_hash"] = Common.getGitHash()
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profiling_data["git_hash"] = Common.getGitHash()
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profiling_data["git_status"] = Common.getGitStatus()
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profiling_data["git_status"] = Common.getGitStatus()
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