ISBN:1430244585
Maximizing the performance of your algorithms and applications is extremely
important and can give you a competitive advantage, a lower cost of ownership,
and happier users. Pro .NET Performance explains the internals of
Windows, the CLR, and the physical hardware that affect the performance of your
applications, and gives you the knowledge and tools to measure how your code
performs in isolation from external factors.
The book is full of C# code
samples and tips to help you squeeze every bit of juice from your
application—lower memory utilization, consistent CPU usage, and fewer I/O
operations across the network and disk. Pro .NET Performance will
change the way you think about .NET application development.
- Guides you through performance measurement with a variety of profilers and
other tools
- Explains how OS and CLR internals affect your application’s performance in
unexpected ways
- Provides you with tips and real-life case studies for improving application
performance
What you’ll learn
- Measure your code’s performance with profilers and other tools.
- Understand where the bottlenecks are and focus on the right area for
performance improvement.
- Manage memory efficiently by interacting properly with the garbage
collector.
- Avoid common pitfalls by choosing the right abstractions.
- Understand the performance implications of the underlying operating system
and runtime.
- Improve the performance of your applications by parallelization, caching,
micro-optimization, and other techniques.
Who this book is for
Pro .NET Performance is for working .NET developers who care about
the performance of their applications. It requires basic familiarity with
Windows and the CLR, but guides the reader along the way and does not require
prior experience with any performance-measurement tools. Pro .NET
Performance also offers practical tips, case studies, and low-level
knowledge for experienced developers and architects.
Table of Contents
Chapter 1: Performance Metrics
Chapter 2:
Performance Measurement Tools
Chapter 3: Type Internals
Chapter 4:
Garbage Collection and Finalization
Chapter 5: Collections and
Generics
Chapter 6: Concurrency and Parallelism
Chapter 7:
Networking, I/O, and Serialization
Chapter 8: Unsafe Code and
Interoperability
Chapter 9: Algorithm Optimization
Chapter 10:
Performance Patterns
Chapter 11: Web Application Performance
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