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Timothy Ng
F# Lead
Microsoft Corporation
Parallel Pattern Library
Resource Manager
Task Scheduler
Task Parallel Library
Parallel LINQ
Threads
Operating System
Native Concurrency Runtime
Managed Libraries
ThreadPool
Da
ta S
tructu
res D
ata
Str
uct
ure
s
Tools
AsyncAgentsLibrary
UMS Threads
MicrosoftResearch
Visual Studio 2010
ParallelDebugger Windows
Profiler Concurrency
Analysis
Race Detection
Fuzzing
AxumVisual F#
Managed Languages
Rx
Native Libraries
Managed Concurrency Runtime
DryadLINQ
Key: Research / Incubation Visual Studio 2010 / .NET 4 Windows 7 / Server 2008 R2
HPC ServerOperating System
Shared State
Code Locality
I/O Parallelism
Scaling to Multi-Machine
Shared State
Code Locality
I/O Parallelism
Scaling to Multi-Machine
oDifficult to maintain and testoVery difficult to parallelize!o Locking is fundamentally error prone:
oMust guess where parallelism will be neededoAll consumers need to participate
Immutable Lists
Immutable Records
Immutable Sets
Immutable Objects
Immutable Tuples
Immutable Dictionaries
Immutable Unions
Lots of language features to encourage immutability
Shared StateCode Locality
I/O Parallelism
Scaling to Multi-Machine
oWe’re used to expressing algorithms linearlyoAsync requires logical division of algorithmsoVery difficult to
oCombine multiple asynchronous operationsoDeal with exceptions and cancellation
Shared StateCode Locality
I/O Parallelism
Scaling to Multi-Machine
o Software is often I/O-bound o Leveraging web servicesoWorking with data on disk
oNetwork and disk speeds increasing slowero I/O resources are inherently parallel
oHuge opportunity for performance
Shared StateCode Locality
I/O Parallelism
Scaling to Multi-Machine
oTo scale up, must to go beyond a single machineoMulti-machine resources becoming common
o Roll-you-own clusters with cheap hardwareoOn-demand cloud compute with Azure
o Buto Shared memory doesn’t scale
Shared State
Code Locality
I/O Parallelism
Scaling to Multi-Machine
immutability
async { … }
async { … }
agents
Simple, powerful, and productive
Ready for production use with VS2010
F# + .NET 4.0 radically simplify parallelism
Parallelism and asynchrony – for today
and tomorrow
F#
© 2007 Microsoft Corporation. All rights reserved.This presentation is for informational purposes only.MICROSOFT MAKES NO WARRANTIES, EXPRESS OR IMPLIED, IN THIS SUMMARY.
