Retrieving the character count of a string in .NET has various methods: using Span with Length, Length, or Enumerable.Count(). This article will prove which is the fastest method.
Tag: Span
Boost Your .NET Projects: Efficient Byte Array Conversions
When working with byte arrays in performance-critical applications, every nanosecond and allocation counts. Fortunately, in .NET, there is a class that provides several high-performance methods that can significantly improve speed and reduce memory overhead when converting and manipulating arrays.
Supercharging .NET Collections with Span and MemoryExtensions
This article discusses optimizing code efficiency in .NET using Span and MemoryExtensions for collection operations. It highlights significant performance improvements in common tasks such as finding, sorting, and reversing collections, demonstrating that these tools minimize memory allocations and enhance speed. Benchmark results underscore substantial advantages in performance and efficiency.
Collection Performance: Looping Over a Collection Using Span and ReadOnlySpan
The article explores the performance benefits of utilizing Span and ReadOnlySpan for collection processing, highlighting advantages such as improved performance, reduced memory pressure, enhanced safety, and compatibility with modern API design. Span allows read-write access and efficient iteration with lightweight storage, while ReadOnlySpan provides read-only access to prevent accidental modifications, offering similar benefits for collection processing.
Code It Any Way You Want: Optimizing Span Operations – Clear vs. Fill
This article compares two key search methods in dictionaries: using `Contains()` on the Keys collection and `ContainsKey()` method directly on the dictionary. It demonstrates examples for both approaches, highlighting Microsoft's recommendation of using `ContainsKey()`. The article suggests further examination of the performance aspect of these methods.
Collection Performance: A Comprehensive Benchmark Analysis of Collection Types in .NET Beyond Arrays and Lists
This article conducts a comprehensive benchmark analysis of various collection types in .NET beyond arrays and lists. It explores the performance of iteration methods, revealing significant differences among types, providing valuable insights for developers to choose the most performant collection type based on their code requirements.
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