public void ParseRandomDFG()
{
Random random = new Random(1280);
for (int i = 0; i < 30; i++)
{
JSProgram program = new JSProgram();
program.Render = false;
program.CreateRandomDFG(30, random);
TestTools.ExecuteJS(program);
string xml = TestTools.GetWorkspaceString();
XmlParser.Parse(xml);
TestTools.ClearWorkspace();
}
}
public void ClearWorkspace() => TestTools.ClearWorkspace();
static void Main(string[] args)
{
if (!Directory.Exists("unoptimizedPrograms"))
{
Directory.CreateDirectory("unoptimizedPrograms");
}
List <perf_data> unoptimizedDatas = new List <perf_data>();
List <perf_data> optimizedDatas = new List <perf_data>();
List <perf_data> optimizedNoGCDatas = new List <perf_data>();
int nameID = 0;
Random random = new Random(15231);
TestTools tools = new TestTools();
for (int i = 0; i < 2000; i++)
{
try
{
perf_data unoptimizedData = new perf_data();
perf_data optimizedData = new perf_data();
perf_data optimizedNoGCData = new perf_data();
JSProgram program = new JSProgram();
program.Render = false;
tools.ClearWorkspace();
program.CreateCDFG(3, 15, random);
tools.ExecuteJS(program);
string xml = tools.GetWorkspaceString();
var result = XmlParser.Parse(xml);
if (result.Item2.Count > 0)
{
i--;
continue;
}
int testCount = 5;
float[] untimes = new float[testCount];
float[] optimes = new float[testCount];
Stopwatch watch = new Stopwatch();
for (int z = 0; z < testCount; z++)
{
watch.Reset();
watch.Start();
TestCommandExecutor commandExecutor = new TestCommandExecutor();
ProgramExecutor <string> programExecutor = new ProgramExecutor <string>(commandExecutor);
programExecutor.TimeBetweenCommands = 0;
programExecutor.EnableOptimizations = false;
programExecutor.EnableGarbageCollection = false;
programExecutor.Run(100, 100, result.Item1, false);
unoptimizedData.makespan = commandExecutor.ticks;
watch.Stop();
untimes[z] = watch.ElapsedMilliseconds / (float)testCount;
}
{
int minSize = 10;
while (true)
{
try
{
result.Item1.Nodes.ForEach(x => x.dfg.Nodes.ForEach(qq => qq.value.Reset()));
TestCommandExecutor commandExecutor = new TestCommandExecutor();
ProgramExecutor <string> programExecutor = new ProgramExecutor <string>(commandExecutor);
programExecutor.TimeBetweenCommands = 0;
programExecutor.EnableOptimizations = false;
programExecutor.EnableGarbageCollection = false;
programExecutor.Run(minSize, minSize, result.Item1, false);
break;
}
catch (Exception e)
{
if (minSize > 100)
{
Console.Write(e.Message + Environment.NewLine + e.StackTrace);
}
minSize++;
}
}
unoptimizedData.size = minSize;
}
for (int z = 0; z < testCount; z++)
{
watch.Reset();
watch.Start();
TestCommandExecutor commandExecutor = new TestCommandExecutor();
ProgramExecutor <string> programExecutor = new ProgramExecutor <string>(commandExecutor);
programExecutor.TimeBetweenCommands = 0;
programExecutor.EnableOptimizations = true;
programExecutor.EnableGarbageCollection = true;
programExecutor.Run(100, 100, result.Item1, false);
optimizedData.makespan = commandExecutor.ticks;
watch.Stop();
optimes[z] = watch.ElapsedMilliseconds / (float)testCount;
}
{
int minSize = 10;
while (true)
{
try
{
result.Item1.Nodes.ForEach(x => x.dfg.Nodes.ForEach(qq => qq.value.Reset()));
TestCommandExecutor commandExecutor = new TestCommandExecutor();
ProgramExecutor <string> programExecutor = new ProgramExecutor <string>(commandExecutor);
programExecutor.TimeBetweenCommands = 0;
programExecutor.EnableOptimizations = true;
programExecutor.EnableGarbageCollection = true;
programExecutor.Run(minSize, minSize, result.Item1, false);
break;
}
catch (Exception)
{
minSize++;
}
}
optimizedData.size = minSize;
}
{
TestCommandExecutor commandExecutor = new TestCommandExecutor();
ProgramExecutor <string> programExecutor = new ProgramExecutor <string>(commandExecutor);
programExecutor.TimeBetweenCommands = 0;
programExecutor.EnableOptimizations = true;
programExecutor.EnableGarbageCollection = false;
programExecutor.Run(100, 100, result.Item1, false);
optimizedNoGCData.makespan = commandExecutor.ticks;
}
{
int minSize = 10;
while (true)
{
try
{
result.Item1.Nodes.ForEach(x => x.dfg.Nodes.ForEach(qq => qq.value.Reset()));
TestCommandExecutor commandExecutor = new TestCommandExecutor();
ProgramExecutor <string> programExecutor = new ProgramExecutor <string>(commandExecutor);
programExecutor.TimeBetweenCommands = 0;
programExecutor.EnableOptimizations = true;
programExecutor.EnableGarbageCollection = false;
programExecutor.Run(minSize, minSize, result.Item1, false);
break;
}
catch (Exception)
{
minSize++;
}
}
optimizedNoGCData.size = minSize;
}
unoptimizedData.time = untimes.Min();
optimizedData.time = optimes.Min();
unoptimizedDatas.Add(unoptimizedData);
optimizedDatas.Add(optimizedData);
optimizedNoGCDatas.Add(optimizedNoGCData);
string path = Path.Combine("unoptimizedPrograms", $"program_{nameID++}.bc");
File.WriteAllText(path, xml);
}
catch (Exception e)
{
//Console.Write(e.Message + Environment.NewLine + e.StackTrace);
i--;
}
Console.WriteLine(i);
}
tools.AssemblyCleanup();
File.WriteAllText("unoptimized_data.txt", String.Join(Environment.NewLine, unoptimizedDatas.Select(x => x.makespan + " " + x.time.ToString(CultureInfo.InvariantCulture) + " " + x.size)));
File.WriteAllText("optimized_data.txt", String.Join(Environment.NewLine, optimizedDatas.Select(x => x.makespan + " " + x.time.ToString(CultureInfo.InvariantCulture) + " " + x.size)));
File.WriteAllText("optimized_no_gc_data.txt", String.Join(Environment.NewLine, optimizedNoGCDatas.Select(x => x.makespan + " " + x.size)));
}