smyalygames/FiniteVolumeGPU
1
0
Fork 0
mirror of https://github.com/smyalygames/FiniteVolumeGPU.git synced 2025-05-18 14:34:13 +02:00
Code Issues Actions Packages Projects Releases Wiki Activity

Added disk caching of kernels

Browse Source
This commit is contained in:
André R. Brodtkorb 2018-08-13 08:37:36 +02:00
parent 9c20930c11
commit 8ccc0d57a0
1 changed files with 102 additions and 26 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

124
SWESimulators/Common.py
View File

@ -1,8 +1,32 @@
# -*- coding: utf-8 -*-
"""
This python module implements the different helper functions and
classes
Copyright (C) 2018 SINTEF ICT
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
"""
import os
import numpy as np
import time
import re
import io
import hashlib
import pycuda.compiler as cuda_compiler
import pycuda.gpuarray
@ -38,13 +62,18 @@ Class which keeps track of the CUDA context and some helper functions
"""
class CudaContext(object):
def __init__(self, verbose=True, blocking=False):
def __init__(self, verbose=True, blocking=False, use_cache=True):
self.verbose = verbose
self.blocking = blocking
self.kernels = {}
self.use_cache = use_cache
self.modules = {}
self.module_path = os.path.dirname(os.path.realpath(__file__))
#Initialize cuda (must be first call to PyCUDA)
cuda.init(flags=0)
#Print some info about CUDA
if (self.verbose):
print("CUDA version " + str(cuda.get_version()))
print("Driver version " + str(cuda.get_driver_version()))
@ -55,6 +84,7 @@ class CudaContext(object):
print(" => compute capability: " + str(self.cuda_device.compute_capability()))
print(" => memory: " + str(self.cuda_device.total_memory() / (1024*1024)) + " MB")
# Create the CUDA context
if (self.blocking):
self.cuda_context = self.cuda_device.make_context(flags=cuda.ctx_flags.SCHED_BLOCKING_SYNC)
if (self.verbose):
@ -67,6 +97,14 @@ class CudaContext(object):
if (self.verbose):
print("Created context <" + str(self.cuda_context.handle) + ">")
#Create cache dir for cubin files
if (self.use_cache):
self.cache_path = os.path.join(self.module_path, "cuda_cache")
if not os.path.isdir(self.cache_path):
os.mkdir(self.cache_path)
if (verbose):
print("Using CUDA cache dir " + self.cache_path)
def __del__(self, *args):
if self.verbose:
@ -99,12 +137,12 @@ class CudaContext(object):
def __str__(self):
return "CudaContext id " + str(self.cuda_context.handle)
def hash_kernel(kernel_filename, include_dirs, verbose=False):
# Generate a kernel ID for our cache
def hash_kernel(kernel_filename, include_dirs, verbose=False):
# Generate a kernel ID for our caches
num_includes = 0
max_includes = 100
kernel_hash = ""
kernel_hasher = hashlib.md5()
with Timer("compiler", verbose=False) as timer:
# Loop over file and includes, and check if something has changed
@ -122,11 +160,14 @@ class CudaContext(object):
modified = os.path.getmtime(filename)
# Open the file
with open(filename, "r") as file:
with io.open(filename, "r") as file:
# Search for #inclue <something> and also hash the file
file_str = file.read()
file_hash = "\nfile=" + filename + ":hash=" + str(hash(file_str)) + ":modified=" + str(modified)
kernel_hasher.update(file_str.encode('utf-8'))
kernel_hasher.update(str(modified).encode('utf-8'))
#Find all includes
includes = re.findall('^\W*#include\W+(.+?)\W*$', file_str, re.M)
# Loop over everything that looks like an include
@ -143,12 +184,10 @@ class CudaContext(object):
num_includes = num_includes + 1 #For circular includes...
break
#Create the "advanced" hash for each kernel
kernel_hash = kernel_hash + file_hash
if (verbose):
print("`-> Hashed in " + str(timer.secs) + " seconds")
return kernel_hash
return kernel_hasher.hexdigest()
"""
Reads a text file and creates an OpenCL kernel from that
@ -157,37 +196,74 @@ class CudaContext(object):
prepared_call_args, \
block_width, block_height, \
include_dirs=[], verbose=False, no_extern_c=False):
"""
Helper function to print compilation output
"""
def cuda_compile_message_handler(compile_success_bool, info_str, error_str):
if (verbose):
print("`-> Compilation returned " + str(compile_success_bool))
if info_str:
print("`-> Info: " + info_str)
if error_str:
print("`-> Error: " + error_str)
if (verbose):
print("Getting " + kernel_filename)
# Create a hash of the kernel (and its includes)
module_path = os.path.dirname(os.path.realpath(__file__))
kernel_hash = kernel_filename \
root, ext = os.path.splitext(kernel_filename)
kernel_hash = root \
+ "_" + str(block_width) + "x" + str(block_height) \
+ CudaContext.hash_kernel( \
os.path.join(module_path, kernel_filename), \
include_dirs=[module_path] + include_dirs, \
verbose=verbose)
+ "_" + CudaContext.hash_kernel( \
os.path.join(self.module_path, kernel_filename), \
include_dirs=[self.module_path] + include_dirs, \
verbose=verbose) \
+ ext
cached_kernel_filename = os.path.join(self.cache_path, kernel_hash)
# Recompile kernel if file or includes have changed
if (kernel_hash not in self.kernels.keys()):
# If we have the kernel in our hashmap, return it
if (kernel_hash in self.modules.keys()):
if (verbose):
print("`-> Kernel changed or not in hash => compiling " + kernel_filename)
print("`-> Found kernel " + kernel_hash + " cached in hashmap")
return self.modules[kernel_hash].get_function(kernel_function_name)
# If we have it on disk, return it
elif (self.use_cache and os.path.isfile(cached_kernel_filename)):
if (verbose):
print("`-> Found kernel " + kernel_hash + " cached on disk")
with io.open(cached_kernel_filename, "rb") as file:
file_str = file.read()
module = cuda.module_from_buffer(file_str, message_handler=cuda_compile_message_handler)
self.modules[kernel_hash] = module
kernel = self.modules[kernel_hash].get_function(kernel_function_name)
kernel.prepare(prepared_call_args)
return kernel
# Otherwise, compile it from source
else:
if (verbose):
print("`-> Compiling " + kernel_filename)
#Create define string
define_string = "#define BLOCK_WIDTH " + str(block_width) + "\n"
define_string += "#define BLOCK_HEIGHT " + str(block_height) + "\n\n"
kernel_string = define_string + '#include "' + os.path.join(module_path, kernel_filename) + '"'
kernel_string = define_string + '#include "' + os.path.join(self.module_path, kernel_filename) + '"'
with Timer("compiler", verbose=False) as timer:
self.kernels[kernel_hash] = cuda_compiler.SourceModule(kernel_string, include_dirs=include_dirs, no_extern_c=no_extern_c)
cubin = cuda_compiler.compile(kernel_string, include_dirs=include_dirs, no_extern_c=no_extern_c, cache_dir=False)
module = cuda.module_from_buffer(cubin, message_handler=cuda_compile_message_handler)
self.modules[kernel_hash] = module
if (self.use_cache):
with io.open(cached_kernel_filename, "wb") as file:
file.write(cubin)
if (verbose):
print("`-> Compiled in " + str(timer.secs) + " seconds")
kernel = self.kernels[kernel_hash].get_function(kernel_function_name)
kernel = self.modules[kernel_hash].get_function(kernel_function_name)
kernel.prepare(prepared_call_args)
return kernel
@ -195,7 +271,7 @@ class CudaContext(object):
Clears the kernel cache (useful for debugging & development)
"""
def clear_kernel_cache(self):
self.kernels = {}
self.modules = {}