Moved (and updated) memory estimate function, now attached to Grid class.

这个提交包含在:
Craig Warren
2018-07-09 11:05:04 +01:00
父节点 9fa07576fe
当前提交 888d9f401f
共有 2 个文件被更改,包括 62 次插入51 次删除

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@@ -87,6 +87,7 @@ class FDTDGrid(Grid):
self.title = ''
self.messages = True
self.tqdmdisable = False
self.memoryusage = 0
# Get information about host machine
self.hostinfo = None
@@ -95,12 +96,17 @@ class FDTDGrid(Grid):
self.nthreads = 0
# GPU
# Threads per block
# Threads per block - electric and magnetic field updates
self.tpb = (256, 1, 1)
# GPU object
self.gpu = None
# Copy snapshot data from GPU to CPU during simulation
# N.B. This will happen if the requested snapshots are too large to fit
# on the memory of the GPU. If True this will slow performance significantly
self.snapsgpu2cpu = False
# Threshold (dB) down from maximum power (0dB) of main frequency used
# to calculate highest frequency for numerical dispersion analysis
self.highestfreqthres = 40
@@ -179,6 +185,60 @@ class FDTDGrid(Grid):
self.Tz = np.zeros((Material.maxpoles, self.nx + 1, self.ny + 1, self.nz + 1), dtype=complextype)
self.updatecoeffsdispersive = np.zeros((len(self.materials), 3 * Material.maxpoles), dtype=complextype)
def memory_estimate_basic(self):
"""Estimate the amount of memory (RAM) required to run a model."""
stdoverhead = 45e6
# 6 x field arrays + 6 x ID arrays
fieldarrays = (6 + 6) * (self.nx + 1) * (self.ny + 1) * (self.nz + 1) * np.dtype(floattype).itemsize
solidarray = self.nx * self.ny * self.nz * np.dtype(np.uint32).itemsize
# 12 x rigidE array components + 6 x rigidH array components
rigidarrays = (12 + 6) * self.nx * self.ny * self.nz * np.dtype(np.int8).itemsize
# PML arrays
pmlarrays = 0
for (k, v) in self.pmlthickness.items():
if v > 0:
if 'x' in k:
pmlarrays += ((v + 1) * self.ny * (self.nz + 1))
pmlarrays += ((v + 1) * (self.ny + 1) * self.nz)
pmlarrays += (v * self.ny * (self.nz + 1))
pmlarrays += (v * (self.ny + 1) * self.nz)
elif 'y' in k:
pmlarrays += (self.nx * (v + 1) * (self.nz + 1))
pmlarrays += ((self.nx + 1) * (v + 1) * self.nz)
pmlarrays += ((self.nx + 1) * v * self.nz)
pmlarrays += (self.nx * v * (self.nz + 1))
elif 'z' in k:
pmlarrays += (self.nx * (self.ny + 1) * (v + 1))
pmlarrays += ((self.nx + 1) * self.ny * (v + 1))
pmlarrays += ((self.nx + 1) * self.ny * v)
pmlarrays += (self.nx * (self.ny + 1) * v)
self.memoryusage = int(stdoverhead + fieldarrays + solidarray + rigidarrays + pmlarrays)
def memory_check(self, snapsmemsize=0):
"""Check the required amount of memory (RAM) is available on the host and GPU if specified.
Args:
snapsmemsize (int): amount of memory (bytes) required to store all requested snapshots
"""
# Check if model can be built and/or run on host
if self.memoryusage > self.hostinfo['ram']:
raise GeneralError('Memory (RAM) required ~{} exceeds {} detected!\n'.format(human_size(self.memoryusage), human_size(self.hostinfo['ram'], a_kilobyte_is_1024_bytes=True)))
# Check if model can be run on specified GPU if required
if self.gpu is not None:
if self.memoryusage > self.gpu.totalmem:
if snapmemsize != 0:
G.snapsgpu2cpu = True
else:
raise GeneralError('Memory (RAM) required ~{} exceeds {} detected on specified {} - {} GPU!\n'.format(human_size(self.memoryusage), human_size(self.gpu.totalmem, a_kilobyte_is_1024_bytes=True), self.gpu.deviceID, self.gpu.name))
def gpu_set_blocks_per_grid(self):
"""Set the blocks per grid size used for updating the electric and magnetic field arrays on a GPU."""
self.bpg = (int(np.ceil(((self.nx + 1) * (self.ny + 1) * (self.nz + 1)) / self.tpb[0])), 1, 1)