Lynn Langit – Developer Evangelisthttp://blogs.msdn.com/SoCalDevGal

Daniel Moth - Parallel Computing Platformhttp://www.danielmoth.com/Blog

Luca Bolognesehttp://blogs.msdn.com/lucabol/

Parallel Pattern Library

Resource Manager

Task Scheduler

Task Parallel Library

PLINQ

Managed Library Native Library

ThreadsThreadsOperating System

Concurrency Runtime

Programming Models

AgentsLibrary

ThreadPool

Task SchedulerTask Scheduler

Resource ManagerResource Manager

Data Structures

Dat

a St

ruct

ures

Integrated Tooling

Tools

ParallelDebugger

Toolwindows

Profiler Concurrency

Analysis

Programming Models

Concurrency Runtime

Program Thread

Program Thread

CLR Thread Pool

GlobalQueue

Worker Thread 1

Worker Thread p

CLR Thread Pool: Work-Stealing

Worker Thread 1

Worker Thread p

Program Thread

Program Thread

GlobalQueue

LocalQueue

LocalQueue

Task 1Task 1Task 2Task 2

Task 3Task 3Task 5Task 5Task 4Task 4

Task 6Task 6

ThreadPoolThreadPoolThreadPool.QueueUserWorkItem(…);

System.Threading.Tasks

Task.StartNew(…);Starting

var p = Task.StartNew(() => { var t = Task.StartNew(…);});

Parent/Child

var f = Future.StartNew(() => C());…int result = f.Value;

Tasks with resultsTask t = Task.StartNew(…);

Task p = t.ContinueWith(…);t.Wait(2000);t.Cancel();

Continue/Wait/Cancel

var q = from p in people        where p.Name == queryInfo.Name && p.State == queryInfo.State && p.Year >= yearStart && p.Year <= yearEnd        orderby p.Year ascending        select p;

Area Descriptions Example Scenarios

Imperative Data Parallelism

Apply the same operation to common collections/sets in parallel. Looping, data partitioning, reductions, scans, etc.

Medical imagingBond pricing

Task Parallelism Simultaneously perform multiple independent operations. Divide-and-conquer, tasks, threads, fork/join, futures, etc.

Process control automation

Shared Resources Building blocks for implementing concurrent components. Scalable and thread-safe collections, locks, etc.

Middle-tier configuration/state management

Declarative Data Parallelism

Define what computation needs to be done, without the how. Selections, filters, joins, aggregations, groupings, etc.

Statistical modeling

Coordination Exploit latent operations by doing work while waiting for data. Asynch I/O, async interaction points, message passing, etc.

Streaming audio

Task Parallel LibraryTask Parallel LibraryParallel Pattern LibraryParallel Pattern LibraryOpenMP, Cluster SOAOpenMP, Cluster SOA

Coordination Data StructuresCoordination Data StructuresTransactional MemoryTransactional Memory

MPI, MPI.net, CCRMPI, MPI.net, CCRNative Agents and MessagingNative Agents and Messaging

MaestroMaestro

PLINQPLINQ

www.microsoftpdc.comhttp://msdn.com/concurrency

Visual Studio 2010 &Visual Studio 2010 & Framework 4.0Framework 4.0

all PDC sessionsOverview - why and how parallelismPLINQ screencastOther Ch9 PLINQ screencastsPLINQ MSDN articleMSDN concurrencyVS 2010 on Ch9VS 2010 weekParallel Computing - VisionDaniel Moth blog

•Fewer side effects•More opportunities for parallelism•Used for advanced computation, math, data mining, financial•More concise, fewer bugs

• Improvements to the F# research release

April 2008 Microsoft Research

refresh release

• Broadly improved VS 2008 integration• Simplifications in language and libraries

Just ReleasedSeptember 2008

CTP

• Full product-quality release• Fully stable and supported language• Aligned with future VS releases

2009Supported Release

F# tutorials

F# MSDN Developer Center

F# for Windows Azure

F# Samples

Expert F# book and code samples

• On the Web:• http://fsharp.net

• Books:

Thanks vets!