Peter Heywood ptheywood

Ghostscript PDF compression on Windows

Installation

Download and install Ghostscript for windows (http://downloads.ghostscript.com/public/gs916w32.exe)
Optional - Add the ghostscript directory to the path environment variable
- Control Panel > System > Advanced System Settings > Environment Variables
- Add ;C:\Program Files (x86)\gs\gs9.16\bin to th end of the PATH variable

Usage

FLAME GPU Version 1.5

http://www.flamegpu.com/

Authors

Paul Richmond
[email protected]

FLAME GPU

http://www.flamegpu.com

Current version: 1.5.0 for CUDA 8.0

FLAME GPU (Flexible Large-scale Agent Modelling Environment for Graphics Processing Units) is @todo high level description.

Documentation

Regular expression to validate 1-4 comma separated c++ decimal values

([+-]?((([1-9][0-9]*|0))|((([0-9]+[eE][+-]?[0-9]+)|((([0-9]+\.)|([0-9]*\.[0-9]+))([eE][+-]?[0-9]+)?))[Ff]?)))(([ ]*,[ ]*)[+-]?(([1-9][0-9]*)|((([0-9]+[eE][+-]?[0-9]+)|((([0-9]+\.)|([0-9]*\.[0-9]+))([eE][+-]?[0-9]+)?))[Ff]?))){0,3}

For regex engines othern than XSD schema, wrap with ^...$ to match the full string

i.e.

	{
	"cmd": [
	"nvcc",
	"-arch=sm_20",
	"$file",
	"-o",
	"${file_path}/${file_base_name}"
	],
	"file_regex": "^(..[^:]):([0-9]+):?([0-9]+)?:? (.)$",
	"working_dir": "${file_path}",

	void outputDeviceInfo(){
	cudaError_t err;
	int deviceId;
	err = cudaGetDevice(&deviceId);
	if (err == cudaSuccess){
	struct cudaDeviceProp prop;
	err = cudaGetDeviceProperties(&prop, deviceId);
	if (err == cudaSuccess){
	printf("Device %i: %s, sm %i.%i\n", deviceId, prop.name, prop.major, prop.minor);
	}

	find ./examples -type f -name "*.vcxproj" -exec sed -i 's/ToolsVersion="12.0"/ToolsVersion="14.0"/g' {} +
	find ./examples -type f -name "*.vcxproj" -exec sed -i 's/<PlatformToolset>v120<\/PlatformToolset>/<PlatformToolset>v140<\/PlatformToolset>/g' {} +
	find ./examples -type f -name "*.vcxproj" -exec sed -i 's/CUDA 7.0./CUDA 8.0./g' {} +
	find ./examples -type f -name "*.vcxproj" -exec sed -i 's/compute_20,sm_20;compute_30,sm_30;compute_35,sm_35;compute_50,sm_50/compute_30,sm_30;compute_35,sm_35;compute_50,sm_50;compute_60,sm_60/g' {} +

	find ./examples -type f -name "Makefile" -exec sed -i 's/cuda-7.5/cuda-8.0/g' {} +
	find ./examples -type f -name "Makefile" -exec sed -i 's/20 30 35 37 50 52/30 35 37 50 60/g' {} +

	function activate_cuda(){
	if [ $# -ne 1 ] ; then
	echo "Usage: active_cuda <version>"
	echo " i.e. activate_cuda 8.0"
	else
	CUDA_VER=$1
	CUDA_SRC="/usr/local/cuda-$CUDA_VER"
	CUDA_DST="/usr/local/cuda"
	if [ -d "$CUDA_SRC" ]; then
	echo "Activating CUDA $CUDA_VER intalled at $CUDA_SRC"

	#! /bin/bash

	# As of 2020-06-19 this is no longer required for University of Sheffield HPC systems usign SGE (Iceberg or ShARC).
	# The SGE GPU allocation process has been improved to limit the devices available.
	# If you request one Device, your session can now only see one device, instead of all available.


	# Outputs the number of GPUs requested by an SGE job.
	function getSGERequestedGPUCount {
	export PATH="$SGE_ROOT/bin/lx-amd64/:$PATH"

	# Fixing Nvidia 4.18+ Profiling on Ubuntu 19.04

	1. Set module parmeter

	```
	echo 'options nvidia "NVreg_RestrictProfilingToAdminUsers=0"' \| sudo tee -a /etc/modprobe.d/nvidia.conf
	```

	2. Rebuild intramfs.