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There is no escaping from concurrency challenges... or is there? (A slightly modified version of this article was published in the August 2008 edition of the MSDN Flash newsletter ) Dual, quad, and eight-core processors are becoming the norm. Is your
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This is an article in a series of blog entries describing a set of new Coordination Data Structures (CDS) introduced in the June 2008 CTP of the Parallel Extensions for .NET Framework . In C#, when a field declaration includes a readonly modifier, assignments
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This is an article in a series of blog entries describing a set of new Coordination Data Structures (CDS) introduced in the June 2008 CTP of the Parallel Extensions for .NET Framework . Waiting on locks usually result in a thread context switch and associated
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This is an article in a series of blog entries describing a set of new Coordination Data Structures (CDS) introduced in the June 2008 CTP of the Parallel Extensions for .NET Framework . LazyInit<T> provides support for several common patterns of
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Some more stuff to remember when dealing with self-replicating tasks. (See my earlier post for an introduction to Parallel FX and self-replicating tasks): - Self-replicating tasks should have an inter-replica communication mechanism for communicating
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PLINQ is built on top of the Task Parallel Library (TPL) and promises to revolutionise the way we write programs that can benefit from the multi-core processor era. But how does it work internally? This article assumes that you are familiar with the basics
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Task Parallel Library (TPL) allows you to easily cancel tasks. Effectively you need to call the Cancel method on the task in question. Imagine the simple sample below: Task task1 = Task .Create(Foo, 10000); static void Foo( object o) { for ( int i = 0;
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In his blog , Eric Eilebrecht explains why when writing multithreaded applications today we should stick to the weak ECMA memory model instead of CLR’s much stronger memory model. In principal, I have no issue with using a weaker model than the CLR memory
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Memory is usually a shared resource on multithreaded systems therefore access to it must be regulated and fully specified. This specification is often called a “Memory Model”. Optimisations performed by compilers and the emergence of multi-core processors
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The Parallel Computing Platform team at Microsoft has recently launched the Parallel Computing Development Centre along with our first CTP of Parallel FX . In here, I will explore some aspects of the framework. If you feel comfortable with the basics
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If you have ever used the System.Threading.ReaderWriterLock to achieve synchronised access to shared resources which are frequently read but infrequently updated then you probably know why we have created a new Reader/Write lock. In this MSDN Magazine’s
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Before a thread can call into a COM object it has to define its apartment by declaring whether it will enter a single-threaded apartment (STA) or a multi-threaded apartment (MTA). STA client threads call CoInitialize(NULL) or CoInitializeEx(0, COINIT_APARTMENTTHREADED)
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Each .NET CLR based process is given a pool of threads. The size of the thread pool is configurable however by default the maximum number of threads created by the thread pool is set to 1000 IO threads in total, and 25 worker threads per logical or physical
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