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https://github.com/smyalygames/FiniteVolumeGPU_HIP.git
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5 Commits
fix/lumi
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aa21733806
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aa21733806 | ||
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5a27445de8 | ||
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cd69f69080 | ||
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9761ff4924 | ||
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5931cee93f |
@@ -35,6 +35,8 @@ import gc
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import netCDF4
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import json
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from tqdm import trange
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#import pycuda.compiler as cuda_compiler
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#import pycuda.gpuarray
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#import pycuda.driver as cuda
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@@ -178,8 +180,8 @@ def runSimulation(simulator, simulator_args, outfile, save_times, save_var_names
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profiling_data_sim_runner["end"]["t_sim_init"] = time.time()
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#Start simulation loop
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progress_printer = ProgressPrinter(save_times[-1], print_every=10)
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for k in range(len(save_times)):
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# progress_printer = ProgressPrinter(save_times[-1], print_every=10)
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for k in trange(len(save_times)):
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#Get target time and step size there
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t_step = t_steps[k]
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t_end = save_times[k]
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@@ -211,9 +213,9 @@ def runSimulation(simulator, simulator_args, outfile, save_times, save_var_names
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profiling_data_sim_runner["end"]["t_nc_write"] += time.time()
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#Write progress to screen
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print_string = progress_printer.getPrintString(t_end)
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if (print_string):
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logger.debug(print_string)
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# print_string = progress_printer.getPrintString(t_end)
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# if (print_string):
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# logger.debug(print_string)
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logger.debug("Simulated to t={:f} in {:d} timesteps (average dt={:f})".format(t_end, sim.simSteps(), sim.simTime() / sim.simSteps()))
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@@ -433,58 +435,58 @@ class DataDumper(object):
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class ProgressPrinter(object):
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"""
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Small helper class for
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"""
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def __init__(self, total_steps, print_every=5):
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self.logger = logging.getLogger(__name__)
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self.start = time.time()
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self.total_steps = total_steps
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self.print_every = print_every
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self.next_print_time = self.print_every
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self.last_step = 0
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self.secs_per_iter = None
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# class ProgressPrinter(object):
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# """
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# Small helper class for
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# """
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# def __init__(self, total_steps, print_every=5):
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# self.logger = logging.getLogger(__name__)
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# self.start = time.time()
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# self.total_steps = total_steps
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# self.print_every = print_every
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# self.next_print_time = self.print_every
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# self.last_step = 0
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# self.secs_per_iter = None
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def getPrintString(self, step):
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elapsed = time.time() - self.start
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if (elapsed > self.next_print_time):
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dt = elapsed - (self.next_print_time - self.print_every)
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dsteps = step - self.last_step
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steps_remaining = self.total_steps - step
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# def getPrintString(self, step):
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# elapsed = time.time() - self.start
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# if (elapsed > self.next_print_time):
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# dt = elapsed - (self.next_print_time - self.print_every)
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# dsteps = step - self.last_step
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# steps_remaining = self.total_steps - step
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if (dsteps == 0):
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return
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# if (dsteps == 0):
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# return
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self.last_step = step
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self.next_print_time = elapsed + self.print_every
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# self.last_step = step
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# self.next_print_time = elapsed + self.print_every
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if not self.secs_per_iter:
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self.secs_per_iter = dt / dsteps
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self.secs_per_iter = 0.2*self.secs_per_iter + 0.8*(dt / dsteps)
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# if not self.secs_per_iter:
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# self.secs_per_iter = dt / dsteps
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# self.secs_per_iter = 0.2*self.secs_per_iter + 0.8*(dt / dsteps)
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remaining_time = steps_remaining * self.secs_per_iter
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# remaining_time = steps_remaining * self.secs_per_iter
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return "{:s}. Total: {:s}, elapsed: {:s}, remaining: {:s}".format(
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ProgressPrinter.progressBar(step, self.total_steps),
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ProgressPrinter.timeString(elapsed + remaining_time),
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ProgressPrinter.timeString(elapsed),
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ProgressPrinter.timeString(remaining_time))
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# return "{:s}. Total: {:s}, elapsed: {:s}, remaining: {:s}".format(
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# ProgressPrinter.progressBar(step, self.total_steps),
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# ProgressPrinter.timeString(elapsed + remaining_time),
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# ProgressPrinter.timeString(elapsed),
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# ProgressPrinter.timeString(remaining_time))
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def timeString(seconds):
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seconds = int(max(seconds, 1))
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minutes, seconds = divmod(seconds, 60)
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hours, minutes = divmod(minutes, 60)
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periods = [('h', hours), ('m', minutes), ('s', seconds)]
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time_string = ' '.join('{}{}'.format(value, name)
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for name, value in periods
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if value)
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return time_string
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# def timeString(seconds):
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# seconds = int(max(seconds, 1))
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# minutes, seconds = divmod(seconds, 60)
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# hours, minutes = divmod(minutes, 60)
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# periods = [('h', hours), ('m', minutes), ('s', seconds)]
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# time_string = ' '.join('{}{}'.format(value, name)
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# for name, value in periods
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# if value)
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# return time_string
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def progressBar(step, total_steps, width=30):
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progress = np.round(width * step / total_steps).astype(np.int32)
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progressbar = "0% [" + "#"*(progress) + "="*(width-progress) + "] 100%"
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return progressbar
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# def progressBar(step, total_steps, width=30):
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# progress = np.round(width * step / total_steps).astype(np.int32)
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# progressbar = "0% [" + "#"*(progress) + "="*(width-progress) + "] 100%"
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# return progressbar
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"""
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@@ -25,6 +25,7 @@ import numpy as np
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import math
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import logging
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from enum import IntEnum
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from tqdm import tqdm
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#import pycuda.compiler as cuda_compiler
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#import pycuda.gpuarray
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@@ -156,7 +157,7 @@ class BaseSimulator(object):
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self.num_substeps = num_substeps
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#Handle autotuning block size
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if (self.context.autotuner):
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if self.context.autotuner:
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peak_configuration = self.context.autotuner.get_peak_performance(self.__class__)
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block_width = int(peak_configuration["block_width"])
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block_height = int(peak_configuration["block_height"])
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@@ -195,27 +196,28 @@ class BaseSimulator(object):
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Requires that the step() function is implemented in the subclasses
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"""
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printer = Common.ProgressPrinter(t)
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# printer = Common.ProgressPrinter(t)
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t_start = self.simTime()
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t_end = t_start + t
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update_dt = True
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if (dt is not None):
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if dt is not None:
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update_dt = False
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self.dt = dt
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while(self.simTime() < t_end):
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for _ in tqdm(range(math.ceil(t_end / self.dt))):
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# Update dt every 100 timesteps and cross your fingers it works
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# for the next 100
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if (update_dt and (self.simSteps() % 100 == 0)):
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# TODO this is probably broken now after fixing the "infinite" loop
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if update_dt and (self.simSteps() % 100 == 0):
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self.dt = self.computeDt()*self.cfl_scale
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# Compute timestep for "this" iteration (i.e., shorten last timestep)
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current_dt = np.float32(min(self.dt, t_end-self.simTime()))
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# Stop if end reached (should not happen)
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if (current_dt <= 0.0):
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if current_dt <= 0.0:
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self.logger.warning("Timestep size {:d} is less than or equal to zero!".format(self.simSteps()))
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break
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@@ -223,14 +225,16 @@ class BaseSimulator(object):
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self.step(current_dt)
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#Print info
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print_string = printer.getPrintString(self.simTime() - t_start)
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if (print_string):
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self.logger.info("%s: %s", self, print_string)
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try:
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self.check()
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except AssertionError as e:
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e.args += ("Step={:d}, time={:f}".format(self.simSteps(), self.simTime()),)
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raise
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# print_string = printer.getPrintString(self.simTime() - t_start)
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# if (print_string):
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# self.logger.info("%s: %s", self, print_string)
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# try:
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# self.check()
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# except AssertionError as e:
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# e.args += ("Step={:d}, time={:f}".format(self.simSteps(), self.simTime()),)
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# raise
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print("Done")
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def step(self, dt):
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@@ -19,18 +19,18 @@ Mydir=/project/project_4650000xx
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Myapplication=${Mydir}/FiniteVolumeGPU_hip/mpiTesting.py
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#modules
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ml LUMI/23.03 partition/G
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ml LUMI/24.03 partition/G
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ml lumi-container-wrapper
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ml cray-python/3.9.13.1
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ml rocm/5.2.3
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ml cray-python/3.11.7
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ml rocm/6.2.2
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ml craype-accel-amd-gfx90a
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ml cray-mpich/8.1.27
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ml cray-mpich/8.1.29
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export PATH="/project/project_4650000xx/FiniteVolumeGPU_hip/MyCondaEnv/bin:$PATH"
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#missing library
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export LD_LIBRARY_PATH=/opt/cray/pe/mpich/8.1.27/ofi/cray/14.0/lib-abi-mpich:$LD_LIBRARY_PATH
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export LD_LIBRARY_PATH=/opt/cray/pe/mpich/8.1.29/ofi/cray/17.0/lib-abi-mpich:$LD_LIBRARY_PATH
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#Binding mask
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bind_mask="0x${fe}000000000000,0x${fe}00000000000000,0x${fe}0000,0x${fe}000000,0x${fe},0x${fe}00,0x${fe}00000000,0x${fe}0000000000"
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@@ -5,13 +5,13 @@ This is a HIP version of the [FiniteVolume code](https://github.com/babrodtk/Fin
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## Setup on LUMI-G
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Here is a step-by-step guide on installing packages on LUMI-G
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### Step 1: Install rocm-5.2.5 with Easybuild
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### Step 1: Install rocm-5.4.6 with Easybuild
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```
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export EBU_USER_PREFIX=/project/project_xxxxxx/EasyBuild
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ml LUMI/24.03 partition/G
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ml EasyBuild-user
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export PYTHONIOENCODING=utf-8
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eb rocm-5.2.5.eb -r
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eb rocm-5.4.6.eb -r
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```
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### Step 2: run conda-container
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@@ -5,15 +5,17 @@ channels:
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- conda-forge
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dependencies:
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- python=3.9.13
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- python=3.11.7
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- pip
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- numpy
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- mpi4py
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- six
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- pytools
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- netcdf4
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- scipy
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- tqdm
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- pip:
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- hip-python==5.4.3.470.16
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- hip-python==6.2.0.499.16
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- -i https://test.pypi.org/simple/
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@@ -178,7 +178,7 @@ def genSim(grid, **kwargs):
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return sim
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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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if(args.profile):
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