InfoQ

News

Breaking Changes in the .NET ThreadPool

Posted by Jonathan Allen on May 13, 2008 04:48 PM

Community
.NET
Topics
Performance & Scalability
Tags
Multi-threading

When .NET 2.0 SP 1 was released with .NET 3.5, the thread pool underwent some significant changes. As Michael C. Kennedy discovered, not all were for the best.

The first change is increasing the default maximum number of threads from 25 per processor to 250 pre processor. This was done to address deadlocks in the thread-pool. These deadlocks were caused when too many threads were waiting on other tasks. Once all 25 threads were blocked, the tasks they are waiting on cannot be attached to a thread. While this change doesn't completely eliminate the possibility of deadlocks, it should make them far less likely.

The other change is actually a bug. Normally .NET allocates up to the minimum thread count in threads as soon as needed. From them on, no more than 2 threads per second are created until you reach the maximum thread count. If you know your application is going to need a lot of thread-pool threads right away, you can increase the minimum thread count.

Michael C. Kennedy discovered that in .NET 2.0 Service Pack 1, the minimum thread count is ignored. If an application needs an inordinate number of thread pool threads, it could take several seconds or even minutes before it fully starts.

According to Michael C. Kennedy, his Microsoft contacts say the fix will be included in .NET 2.0 SP 2. The release date for this is unknown.

 

No comments

Watch Thread Reply

Educational Content

Bindings, Platforms, and Innovation

This presentation focuses on the Internet and separating myth from fact, history from the future, and the mundane from the imaginative. Bob Frankston presents a vision of what could and should be.

Orchestrating Long Running Activities with JBoss / JBPM

This article explores the use of JBoss and jBPM to implement design solutions that effectively address the issue of orchestrating long running activities.

Neo4j - The Benefits of Graph Databases

This presentation covers the use of graph databases as an optimal solution for data that is difficult to fit in static tables, rapidly evolving data or data that has a lot of optional attributes.

Realistic about Risk: Software development with Real Options

This session introduces Real Options and shows how it can help in running your project. Real Options is a decision-making process that can be used to manage risk.

Communication Flexibility Using Bindings

This article discusses the use of bindings on services and references (including the instance of non-configured bindings) as the means to implement SCA communications in a Web and SOA environment.

Writing DSLs in Groovy

After a short introduction to DSLs, Scott Davis plays with the keyboard showing how to approach the creation of a DSL by typing working snippets of Groovy code that get executed.

Scaling Agile with C/ALM (Collaborative Application Lifecycle Management)

IBM Rational and InfoQ present, Scaling Agile with C/ALM, an eBook showing organizations how to become “finely tuned software delivery machines” by enabling team integration and scaling.

Concurrent Programming with Microsoft F#

Amanda Laucher presents a real life enterprise application written in F#. She shows actual code snippets, explaining design decisions and suggesting how to use some of the F# constructs.