Alaptbl

Alaptbl is a term encountered in some computing contexts, but there is no universally accepted definition or standard specification. In several discussions, alaptbl denotes an adaptive lookup table—an indexed collection that can reorganize its entries in response to access patterns with the aim of improving cache locality and lookup speed. Such tables typically support common operations like insert, delete, update, and find, and may employ strategies such as dynamic resizing, partial sorting by access frequency, or rehashing to maintain performance.

Because the term is not standardized, implementations of alaptbl can vary significantly between projects. Some designs are intended for in-memory databases or data-intensive applications where frequently accessed keys are moved toward the front to speed repeated lookups. Others appear in just-in-time compilers or runtime libraries to accelerate hot paths. Key design goals usually include low-latency access, predictable performance, and manageable memory usage.

Common design considerations include how access patterns are measured and used to adapt the table. Approaches may track frequencies, utilize recency information, or apply probabilistic models to determine reordering or relocation of entries. Resizing policies can be aggressive to minimize lookup times or conservative to limit overhead. Because there is no single authoritative specification, it is important to consult the documentation of a given project to understand its exact semantics, APIs, and performance characteristics.

See also: lookup table, adaptive data structures, cache-friendly data structures, hash table, LFU/LRU caches.