How are Swiss Tables organized in Go?

Swiss Tables are a highly efficient implementation of hash tables used in the Go standard library (for example, in map). The main ideas and organization of Swiss Tables:

• Open addressing with linear probing and metadata: Instead of storing keys and values consecutively, a compact metadata (usually 8-bit tags) is stored alongside them, which speeds up search and reduces comparisons.

• Buckets: The table is divided into fixed-size groups (e.g., 8 or 16 slots). The tags for a group are stored in a separate array, allowing quick filtering of candidates during search.

• Use of SIMD and bitwise operations: Vectorization and bit masks are used to accelerate the search for tags, enabling quick identification of potential matches.

• Collision reduction: Tags help quickly eliminate non-matching slots, reducing the number of key comparisons.

• Implementation in Go: The Go map is implemented based on Swiss Tables, ensuring high performance for insertion, deletion, and search operations.

Thus, Swiss Tables are an optimized hash table algorithm combining compact metadata storage and efficient search using SIMD, making the standard map in Go fast and efficient.