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# Copyright 2023 Lawrence Livermore National Security, LLC and other | ||
# Benchpark Project Developers. See the top-level COPYRIGHT file for details. | ||
# | ||
# SPDX-License-Identifier: Apache-2.0 | ||
|
||
from benchpark.error import BenchparkError | ||
from benchpark.directives import variant | ||
from benchpark.experiment import Experiment | ||
from benchpark.scaling import StrongScaling | ||
from benchpark.scaling import WeakScaling | ||
|
||
|
||
class Ior( | ||
Experiment, | ||
StrongScaling, | ||
WeakScaling, | ||
): | ||
variant( | ||
"workload", | ||
default="ior", | ||
description="base IOR or other problem", | ||
) | ||
|
||
variant( | ||
"version", | ||
default="3.3.0", | ||
description="app version", | ||
) | ||
|
||
def compute_applications_section(self): | ||
# TODO: Replace with conflicts clause | ||
scaling_modes = { | ||
"strong": self.spec.satisfies("+strong"), | ||
"weak": self.spec.satisfies("+weak"), | ||
"single_node": self.spec.satisfies("+single_node"), | ||
} | ||
|
||
scaling_mode_enabled = [key for key, value in scaling_modes.items() if value] | ||
if len(scaling_mode_enabled) != 1: | ||
raise BenchparkError( | ||
f"Only one type of scaling per experiment is allowed for application package {self.name}" | ||
) | ||
|
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num_nodes = {"n_nodes": 1} | ||
t = "{b}/256" | ||
self.add_experiment_variable("t", t, True) | ||
|
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if self.spec.satisfies("+single_node"): | ||
for pk, pv in num_nodes.items(): | ||
self.add_experiment_variable(pk, pv, True) | ||
self.add_experiment_variable("b", "268435456", True) | ||
elif self.spec.satisfies("+strong"): | ||
scaled_variables = self.generate_strong_scaling_params( | ||
{tuple(num_nodes.keys()): list(num_nodes.values())}, | ||
int(self.spec.variants["scaling-factor"][0]), | ||
int(self.spec.variants["scaling-iterations"][0]), | ||
) | ||
for k, v in scaled_variables.items(): | ||
self.add_experiment_variable(k, v, True) | ||
# 256 mb | ||
self.add_experiment_variable("b", "268435456 / {n_nodes}", True) | ||
elif self.spec.satisfies("+weak"): | ||
scaled_variables = self.generate_weak_scaling_params( | ||
{tuple(num_nodes.keys()): list(num_nodes.values())}, | ||
{tuple(num_nodes.keys()): list(num_nodes.values())}, | ||
int(self.spec.variants["scaling-factor"][0]), | ||
int(self.spec.variants["scaling-iterations"][0]), | ||
) | ||
for k, v in scaled_variables.items(): | ||
self.add_experiment_variable(k, v, True) | ||
|
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self.add_experiment_variable("b", "268435456", True) | ||
|
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self.add_experiment_variable("t", t, True) | ||
self.add_experiment_variable( | ||
"n_ranks", "{sys_cores_per_node} * {n_nodes}", True | ||
) | ||
|
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def compute_spack_section(self): | ||
# get package version | ||
app_version = self.spec.variants["version"][0] | ||
|
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# get system config options | ||
# TODO: Get compiler/mpi/package handles directly from system.py | ||
system_specs = {} | ||
system_specs["compiler"] = "default-compiler" | ||
system_specs["mpi"] = "default-mpi" | ||
|
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# set package spack specs | ||
self.add_spack_spec(system_specs["mpi"]) | ||
|
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self.add_spack_spec(self.name, [f"ior@{app_version}", system_specs["compiler"]]) |
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