Pro .NET Performance
Optimize Your C# Applications
Published on 22. October 2012
XXIV, 372 pages
978-1-4302-4459-2 (ISBN)
Description
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
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Book
09/2012
APress
€80.24
Shipment within 15-20 days
Persons
Sasha Goldshtein is a Microsoft Visual C# MVP, and the CTO of SELA Group. Sasha leads the Performance and Debugging team in the SELA Technology Center, and consults on various topics including production debugging, application performance troubleshooting, and distributed architecture. Most of Sasha s experience is in C# and C++ application development, as well as high-scalability and high-performance system architecture. He is a frequent speaker at Microsoft conferences, and the author of multiple training courses: '.NET Performance', '.NET Debugging', 'Windows Internals', and many others.
Content
Chapter 1: Performance Metrics
Chapter 2: Performance Measurement
Chapter 3: Type Internals
Chapter 4: Garbage Collection
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
