Download - ParallelFx, bringing Mono applications in the multicore era

ParallelFxBringing Mono applications in the multicore era

Jérémie Laval

@ [email protected]

http://blog.neteril.org

http://twitter.com/jeremie_laval

IRC Garuma on #mono @ GIMPNet.org

http://blog.neteril.org

http://twitter.com/jeremie_laval

Outline

Why bother?The free lunchAn awesome ideaRemaining performant

ParallelFxThe big pictureTasks and coPLinqState of things

A note for the future

Why bother? ParallelFx A note for the future Questions

Why are we bothering with parallelization

Everyone loves his single thread

“The ideal number of thread you should use is 1”

– Alan Mc GovernMono hacker

3 / 23


Why are we bothering with parallelization

Because the free lunch is over!

4 / 23


Free lunch?

70’s - 2005: Moore’s law in action

Intel Processor Clock Speed (MHz)10000

1000

100

10

1

0.1

1968 1973 1979 1984 1990 1995 2001 2006

808080286

80386

80486

Pentium

Celeron

Pentium III

Pentium 4 (Prescott)

Core 2 Extreme

Multicore crisis is here !

Source: Smoothspan blog

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The awesome idea

Can’t scale vertically? Scale horizontally!

6 / 23


Trend of things

Number of cores

1 2 4 12ish 80

Pentium Core DuoCore 2 Quad

Core i7-980X Intel prototype

7 / 23


Problem

No more magical free-lunch

8 / 23


Solution

Let’s break up work...

....and share it among cores9 / 23


Errr...

10 / 23


Parallelization is difficult

� Hard: is that stuff really thread safe?

� Tedious: whose turn is it to debug deadlocks?

� Inefficient: how many thread to use?

� Too few: it’s not scaling� Too much: context-switching hurts performance� What if the number of core changes?

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� Inefficient: how many thread to use?� Too few: it’s not scaling

� Too much: context-switching hurts performance� What if the number of core changes?

11 / 23





� Inefficient: how many thread to use?� Too few: it’s not scaling� Too much: context-switching hurts performance

� What if the number of core changes?

11 / 23





� Inefficient: how many thread to use?� Too few: it’s not scaling� Too much: context-switching hurts performance� What if the number of core changes?

11 / 23


KISS time (Keep it simple, stupid)

We need something different :

� Automagically regulate thread usage at runtime

� As straightforward as possible

� Simulate familiar constructs� Reuse existing code with only slight modification

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� As straightforward as possible� Simulate familiar constructs

� Reuse existing code with only slight modification

12 / 23





� As straightforward as possible� Simulate familiar constructs� Reuse existing code with only slight modification

12 / 23


Enter ParallelFx

ParallelFx at a glance

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At the heart

Work-stealing scheduler

Mono Application

Sharedworkpool

ParallelFX library(Scheduler)

Thread Worker

Local workpool

OSthread

Thread Worker

Local workpool

OSthread

Steal

Retrieve

Manage

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Tasks

CancellationTokenSource source = new CancellationTokenSource ();

Task task = Task.Factory.StartNew (() => DoSomeStuff (), source.Token);

Task continuation = task.ContinueWith ((t) => Console.WriteLine ("task finished");

source.Cancel ();

t.Wait ();

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Future (Task<T>)

static int SumParallel (Tree<int> tree, int curDepth){

const int SequentialThreshold = 3;

if (tree == null) return 0;

if (curDepth > SequentialThreshold)return SumSequentialInternal (tree);

int right = SumParallel (tree.Right, curDepth + 1);

Task<int> left =Task.Factory.StartNew (() => SumParallel (tree.Left, curDepth + 1));

return tree.Data + left.Value + right;}

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Parallel.For

Fractal fractal = new Fractal (width, height);

ColorChooser colorChooser = new ColorChooser ();

Parallel.For (0, width, (i) => {for (int j = 0; j < height; j++) {

ProcessPixel (i, j, fractal, colorChooser);}

});

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Demo: Parallel For

Demo: image processing with parallelloops

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PLinq

ParallelEnumerable.Range (1, 1000)./* ... */ParallelEnumerable.Repeat (‘‘Rupert’’, 1000)./* ... */enumerable.AsParallel ()./* ... */

var query = from x in Directory.GetFiles ("/etc/").AsParallel ()where x.EndsWith (".conf")select x;

query.ForAll ((e) => {Console.WriteLine ("{0} from {1}", e,

Thread.CurrentThread.ManagedThreadId);});

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Demo: PLinq

Demo: raytracing the PLinq way

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State of things

� Mono 2.6 (December 2009): .NET 4 beta 1� Task, Future, Parallel loops� Concurrent collections� Coordination data structures

� Mono 2.8 (or git master): .NET 4 compliant� Enabled by default� Tons of improvement� With PLinq!

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GLinq: GPGPU-powered Linq

� Re-use PLinq pipeline� Same design guidelines than PLinq: simplicity, transparency� Rewrite C# code in OpenCL (Expression trees FTW!)

� Transparent mapping of OpenCL idioms to .NET

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� Re-use PLinq pipeline

� Same design guidelines than PLinq: simplicity, transparency� Rewrite C# code in OpenCL (Expression trees FTW!)


22 / 23




� Re-use PLinq pipeline� Same design guidelines than PLinq: simplicity, transparency

� Rewrite C# code in OpenCL (Expression trees FTW!)


22 / 23




� Re-use PLinq pipeline� Same design guidelines than PLinq: simplicity, transparency� Rewrite C# code in OpenCL (Expression trees FTW!)


22 / 23


Closing the curtains

23 / 23

Download - ParallelFx, bringing Mono applications in the multicore era

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