def __init__(self, args):
self.env = os.environ.copy()
base = self.env['HOME'] + '/interference-bench/'
cpu_per_node = 16
nodes = (2, 4, 8, 16)
schedulers = ("cfs", "pinned_cyclic", "fifo_cyclic")
affinity = ("4-11,16-23", )
self.modules_load = 'source {}/miniapps/mini.env'.format(base)
def compile_command(wd, prog, nodes, oversub, size):
# A HACK
if prog in ("bt", "sp"):
np = np_square(nodes, oversub)
elif prog in (
"is",
"cg",
):
np = np_power2(nodes, oversub)
else:
np = np_func(nodes, oversub)
# HACK END
return self.modules_load + '; cd {} ;' \
' make {} NPROCS={} CLASS={}'.format(wd, prog, np, size)
def np_func(nodes, oversub):
return nodes * oversub * cpu_per_node
common_params = {
'compile_command': compile_command,
'schedulers': schedulers,
'oversub': (1, 2, 4),
'nodes': nodes,
'affinity': affinity,
'size': (
'C',
'D',
),
}
mz_params = {'wd': base + "/NPB3.3.1-MZ/NPB3.3-MZ-MPI/"}
self.group = \
manager.BenchGroup(Npb, **common_params, **mz_params,
np=np_func,
prog=("bt-mz", "sp-mz"))
npb_params = {'wd': base + "/NPB3.3.1/NPB3.3-MPI/"}
self.group += \
manager.BenchGroup(Npb, **common_params, **npb_params,
np=np_func,
prog=("ep", "lu", "mg"))
def np_power2(nodes, oversub):
return nodes * oversub * cpu_per_node
self.group += \
manager.BenchGroup(Npb, **common_params, **npb_params,
np=np_power2,
prog=("is", "cg",))
self.group += \
manager.BenchGroup(Npb, **common_params, **npb_params,
np=np_power2,
prog=("ft",))
def np_square(nodes, oversub):
np = nodes * oversub * cpu_per_node
return math.floor(math.sqrt(np))**2
self.group += \
manager.BenchGroup(Npb, **common_params, **npb_params,
np=np_square,
prog=("bt", "sp"))
self.mpilib = Mvapich(mpiexec='srun', compile_pre=self.modules_load)
self.env[
'INTERFERENCE_PERF'] = 'instructions,cache_references,cache_misses,migrations,page_faults,context_switches'
self.runs = (i for i in range(3))
self.benchmarks = self.group.benchmarks
self.nodelist = self.get_nodelist()
self.hostfile_dir = os.environ['HOME'] + '/hostfiles'
super().__init__(args)
def __init__(self, args):
self.env = os.environ.copy()
base = self.env['HOME'] + "/interference-bench/"
self.hostfile_dir = self.env['HOME'] + '/hostfiles'
cpu_per_node = 4
def np_square(nodes, oversub):
np = nodes * oversub * cpu_per_node
return math.floor(math.sqrt(np))**2
def np_power2(nodes, oversub):
return nodes * oversub * cpu_per_node
def np_func(nodes, oversub):
return nodes * oversub * cpu_per_node
def compile_command(wd, prog, nodes, oversub, size):
# A HACK
if prog in ("bt", "sp"):
np = np_square(nodes, oversub)
elif prog in (
"is",
"cg",
):
np = np_power2(nodes, oversub)
else:
np = np_func(nodes, oversub)
# HACK END
return 'cd {} ;' \
' make {} NPROCS={} CLASS={}'.format(wd, prog, np, size)
args.run_order = 'consecutive'
common_params = {
'nodes': (1, ),
'schedulers': ("cfs", "pinned_blocked", "pinned_cyclic"),
'affinity': ("2-3", "1,3"),
'oversub': (1, 2, 4),
'compile_command': compile_command,
'size': (
'W',
'S',
),
}
mz_params = {'wd': base + "/NPB3.3.1-MZ/NPB3.3-MZ-MPI/"}
npb_params = {'wd': base + "/NPB3.3.1/NPB3.3-MPI/"}
self.group = \
manager.BenchGroup(Npb, **common_params, **mz_params,
np=np_func,
prog=("bt-mz", "sp-mz"))
self.group += \
manager.BenchGroup(Npb, **common_params, **npb_params,
np=np_func,
prog=("ep", "lu", "mg"))
self.group += \
manager.BenchGroup(Npb, **common_params, **npb_params,
np=np_power2,
prog=("is", "cg",))
self.group += \
manager.BenchGroup(Npb, **common_params, **npb_params,
np=np_power2,
prog=("ft",))
self.group += \
manager.BenchGroup(Npb, **common_params, **npb_params,
np=np_square,
prog=("bt", "sp"))
self.mpilib = OpenMPI()
self.runs = (i for i in range(3))
self.benchmarks = self.group.benchmarks
self.nodelist = self.get_nodelist()
self.hostfile_dir = self.env['HOME'] + '/hostfiles'
super().__init__(args)
def __init__(self, args):
self.env = os.environ.copy()
base = self.env['HOME'] + "/interference-bench/miniapps/"
nodes = (1, 2, 4, 8, 16)
cpu_per_node = 24
oversub_param = {
'oversub': (1, ),
'schedulers': ("cfs", "pinned_cyclic")
}
fullsub_param = {'oversub': (2, 4), 'schedulers': ("cfs")}
def np_func(nodes, oversub):
return nodes * cpu_per_node
def comd_size_param(size, nodes, oversub):
np = np_func(nodes, oversub)
# Ensure that f has at least 3 groups
domains = Miniapp.partition(np, 3)
problem_size = '-x 200 -y 200 -z 200'
decomposition = '-i {} -j {} -k {} '.format(*domains)
return decomposition + problem_size
self.modules_load = 'source {}/mini.env'.format(base)
compile_command = self.modules_load + '; cd ../src-mpi ; make'
tmpl = './{prog} {size_param}'
comd_param = {
'prog': ("CoMD-mpi", ),
'size': (1, ),
'np': np_func,
'nodes': nodes,
'affinity': ("0-23", ),
'size_param': comd_size_param,
'wd': base + "CoMD/bin",
'compile_command': compile_command,
'tmpl': tmpl
}
self.group = \
manager.BenchGroup(Miniapp, **comd_param, **fullsub_param) + \
manager.BenchGroup(Miniapp, **comd_param, **oversub_param)
compile_command = self.modules_load + '; make lassen_mpi'
def lassen_size_param(size, nodes, max_nodes, oversub):
np = np_func(nodes, oversub)
# Ensure that f has at least 3 groups
domains = Miniapp.partition(np, 3)
decomposition = '{} {} {}'.format(*domains)
global_zones = ' {}'.format(cpu_per_node * max_nodes * size) * 3
return "default {} {}".format(decomposition, global_zones)
lassen_param = {
'prog': ("lassen_mpi", ),
'size_param': lassen_size_param,
'size': (1, ),
'affinity': ("0-23", ),
'nodes': nodes,
'np': np_func,
'max_nodes': max(nodes),
'compile_command': compile_command,
'wd': base + "lassen/",
'tmpl': tmpl
}
self.group += \
manager.BenchGroup(Miniapp, **lassen_param, **oversub_param) + \
manager.BenchGroup(Miniapp, **lassen_param, **fullsub_param)
def lulesh_np_func(nodes):
return {1: 8, 2: 27, 4: 64, 8: 125, 16: 343}[nodes]
compile_command = self.modules_load + '; make'
lulesh_param = {
'prog': ("lulesh2.0", ),
'size_param': ("-i 300 -c 10 -b 3", ),
'size': (1, ),
'affinity': ("0-23", ),
'nodes': nodes,
'np': lulesh_np_func,
'wd': base + "lulesh2.0.3/",
'compile_command': compile_command,
'tmpl': tmpl
}
self.group += \
manager.BenchGroup(Miniapp, **lulesh_param, **oversub_param) + \
manager.BenchGroup(Miniapp, **lulesh_param, **fullsub_param)
self.mpiexec = 'mpirun_rsh'
self.mpiexec_np = '-np'
self.mpiexec_hostfile = '-hostfile {}'
self.preload = 'LD_PRELOAD={}'
self.lib = manager.Lib('mvapich',
compile_pre=self.modules_load,
compile_flags='')
self.env['OMP_NUM_THREADS'] = '1'
self.env['INTERFERENCE_LOCALID'] = 'MV2_COMM_WORLD_LOCAL_RANK'
self.env['INTERFERENCE_HACK'] = 'true'
self.prefix = 'INTERFERENCE'
self.runs = (i for i in range(3))
self.benchmarks = self.group.benchmarks
self.nodelist = self.get_nodelist()
self.hostfile_dir = self.env['HOME'] + '/hostfiles'
super().__init__(args)
def __init__(self, args):
self.env = os.environ.copy()
base = self.env['HOME'] + '/interference-bench/'
cpu_per_node = 8
nodes = (1, 2, 4)
schedulers = ("cfs", "pinned_cyclic", "pinned_blocked", 'fifo_cyclic')
affinity = ("0-7", "4-7")
def m(x, y):
z = x.copy()
z.update(y)
return z
self.modules_load = '. {}/mini.env'.format(base)
def compile_command(wd, prog, nodes, oversub, size):
# A HACK
if prog in ("bt", "sp"):
np = np_square(nodes, oversub)
elif prog in (
"is",
"cg",
):
np = np_power2(nodes, oversub)
else:
np = np_func(nodes, oversub)
# HACK END
return self.modules_load + '; cd {} ;' \
' make {} NPROCS={} CLASS={}'.format(wd, prog, np, size)
def np_func(nodes, oversub):
return nodes * oversub * cpu_per_node
common_params = {
'compile_command': compile_command,
'schedulers': schedulers,
'oversub': (1, 2, 4),
'nodes': nodes,
'affinity': affinity,
'size': (
'B',
'C',
),
}
mz_params = {'wd': base + "/NPB3.3.1-MZ/NPB3.3-MZ-MPI/"}
self.group = \
manager.BenchGroup(Npb, **m(m(common_params, mz_params),
{'np': np_func,
'prog': ("bt-mz", "sp-mz")}))
npb_params = {'wd': base + "/NPB3.3.1/NPB3.3-MPI/"}
self.group += \
manager.BenchGroup(Npb, **m(m(common_params, npb_params),
{'np': np_func,
'prog': ("ep", "lu", "mg")}))
def np_power2(nodes, oversub):
return nodes * oversub * cpu_per_node
self.group += \
manager.BenchGroup(Npb, **m(m(common_params, npb_params),
{'np': np_power2,
'prog': ("is", "cg",)}))
self.group += \
manager.BenchGroup(Npb, **m(m(common_params, npb_params),
{'np': np_power2,
'prog': ("ft",)}))
def np_square(nodes, oversub):
np = nodes * oversub * cpu_per_node
return math.floor(math.sqrt(np))**2
self.group += \
manager.BenchGroup(Npb, **m(m(common_params, npb_params),
{'np': np_square,
'prog': ("bt", "sp")}))
self.mpilib = Mvapich(mpiexec='mpirun', compile_pre=self.modules_load)
self.env['INTERFERENCE_PERF'] = ','.join([
'instructions',
'cache_references',
'page_faults',
'migrations',
'context_switches',
'cache_misses',
])
self.runs = (i for i in range(3))
self.benchmarks = self.group.benchmarks
self.nodelist = self.get_nodelist()
super().__init__(args)
def __init__(self, args):
self.env = os.environ.copy()
def np_func(nodes, cpu_per_node):
return nodes * cpu_per_node
def vp_func(nodes, oversub, cpu_per_node):
return np_func(nodes, cpu_per_node) * oversub
def comd_size_param(nodes, oversub, cpu_per_node):
np = vp_func(nodes, oversub, cpu_per_node)
# Ensure that f has at least 3 groups
domains = Miniapp.partition(np, 3)
problem_size = '-x 200 -y 200 -z 200'
decomposition = '-i {} -j {} -k {} '.format(*domains)
return decomposition + problem_size
schedulers = ("none", )
affinity = ("0-23", )
common_params = {
'cpu_per_node': (2, 6, 12, 24),
'oversub': (1, 2, 4, 12),
'nodes': (1, 2, 4, 8, 16),
'affinity': affinity
}
base = self.env['HOME'] + "/interference-bench/"
tmpl = './charmrun +p{np} ++mpiexec ++remote-shell {script} ' \
'./{prog} +vp{vp} {size_param} ++verbose'
def compile_command(wd):
return 'cd {}/../ ; make'.format(wd)
self.group = \
manager.BenchGroup(Miniapp, prog=("CoMD-ampi",), **common_params,
size=(1,),
vp=vp_func,
np=np_func,
schedulers=schedulers,
compile_command=compile_command,
size_param=comd_size_param,
wd=base + "CoMD-1.1/bin/",
tmpl=tmpl)
def lassen_size_param(size, nodes, max_nodes, oversub):
np = vp_func(nodes, oversub)
# Ensure that f has at least 3 groups
domains = Miniapp.partition(np, 3)
decomposition = '{} {} {}'.format(*domains)
global_zones = ' {}'.format(cpu_per_node * max_nodes * size) * 3
return "default {} {}".format(decomposition, global_zones)
self.group += \
manager.BenchGroup(Miniapp, prog=("lassen_mpi",), **common_params,
size_param=lassen_size_param,
vp=vp_func,
size=(1,),
np=np_func,
schedulers=schedulers,
max_nodes=max(nodes),
wd=base + "Lassen-1.0/",
tmpl=tmpl)
def lulesh_np_func(nodes, cpu_per_node):
n = nodes * cpu_per_node
c = int(n**(1 / 3.))
if c**3 == n or (c + 1)**3 == n:
return n
return floor(n**(1 / 3.))**3
def lulesh_vp_func(nodes, oversub, cpu_per_node):
return lulesh_np_func(nodes, cpu_per_node * oversub)
self.group += \
manager.BenchGroup(Miniapp, prog=("lulesh2.0",), **common_params,
size=(1,),
size_param=("-i 300 -c 10 -b 3",),
vp=lulesh_vp_func,
np=lulesh_np_func,
schedulers=schedulers,
wd=base + "Lulesh-2.0/",
tmpl=tmpl)
charm_path = self.env['HOME'] + \
'/ampi/charm/verbs-linux-x86_64-gfortran-gcc/'
self.env['PATH'] = self.env['PATH'] + ":" + charm_path + "bin"
self.lib = manager.Lib(
'charm', '-Dtest=ON -Dfortran=ON'
' -DMPI_CC_COMPILER=ampicc'
' -Dwrapper=OFF'
' -DMPI_CXX_COMPILER=ampicxx'
' -DMPI_CXX_INCLUDE_PATH={path}/include/'
' -DMPI_CXX_LIBRARIES={path}/lib/'
' -DMPI_C_LIBRARIES={path}/lib/'
' -DMPI_C_INCLUDE_PATH='
'{path}/include/'.format(path=charm_path))
self.prefix = 'INTERFERENCE'
self.runs = (i for i in range(3))
self.benchmarks = self.group.benchmarks
self.nodelist = self.get_nodelist()
self.hostfile_dir = self.env['HOME'] + '/hostfiles'
super().__init__(args)
old_ld = self.env['LD_LIBRARY_PATH'] + \
':' if 'LD_LIBRARY_PATH' in self.env else ''
self.env['LD_LIBRARY_PATH'] = old_ld + self.get_lib_path()
print(self.env['LD_LIBRARY_PATH'])
def __init__(self, args):
base = "/home/desertfox/research/projects/ffmk/interference-bench/"
common_params = {
'nodes': (1, ),
'schedulers': ("cfs", ),
'affinity': ("2-3", "1,3")
}
tmpl = './bin/charmrun +p{np} ./bin/{prog}' \
' ++nodelist {hostfile} +vp{vp} {size} ++local'
self.group = \
manager.BenchGroup(Miniapp, prog=("CoMD-ampi",),
size=("-i 2 -j 1 -k 1",),
vp=(2,),
np=(1, 2),
**common_params,
wd=base + "CoMD-1.1/",
tmpl=tmpl) + \
manager.BenchGroup(Miniapp, prog=("CoMD-ampi",),
size=("-i 2 -j 2 -k 1",),
vp=(4,),
np=(1, 2, 4),
**common_params,
wd=base + "CoMD-1.1/",
tmpl=tmpl) + \
manager.BenchGroup(Miniapp, prog=("CoMD-ampi",),
size=("-i 2 -j 2 -k 2",),
vp=(8,),
np=(2, 4),
**common_params,
wd=base + "CoMD-1.1/",
tmpl=tmpl)
self.preload = 'LD_PRELOAD={}'
self.env = os.environ.copy()
charm_path = self.env[
'HOME'] + '/research/projects/ffmk/charm/netlrts-linux-x86_64-gfortran-gcc/'
self.env['PATH'] = self.env['PATH'] + ":" + charm_path + "bin"
old_ld = self.env['LD_LIBRARY_PATH'] + \
':' if 'LD_LIBRARY_PATH' in self.env else ''
self.lib = manager.Lib(
'charm', '-Dtest=ON -Dfortran=ON -DMPI_CC_COMPILER=ampicc'
' -Dwrapper=OFF'
' -DMPI_CXX_COMPILER=ampicxx -DMPI_CXX_INCLUDE_PATH={path}/include/'
' -DMPI_C_INCLUDE_PATH={path}/../include/'.format(path=charm_path))
self.prefix = 'INTERFERENCE'
self.runs = (i for i in range(3))
self.benchmarks = self.group.benchmarks
self.nodelist = self.get_nodelist()
self.hostfile_dir = self.env['HOME'] + '/hostfiles'
super().__init__(args)
self.env['LD_LIBRARY_PATH'] = old_ld + self.get_lib_path()
print(self.env['LD_LIBRARY_PATH'])
