Atomicsaddview

Atomicsaddview is a term used in some parallel programming libraries to describe a view or wrapper that provides atomic addition semantics on elements of a shared container. It is not a standard language feature, but rather an architectural pattern implemented in various libraries to enable safe concurrent updates to arrays, buffers, or histograms by multiple threads or processing units.

In practice, an atomicsaddview exposes operations that update a target element atomically. Typical capabilities include an add or fetch_add operation on a specified index, and often type-specific overloads to support integers and floating-point values. Implementations rely on hardware-supported atomic instructions and may expose different memory-ordering guarantees, such as relaxed, acquire/release, or sequential consistency, depending on the library’s design.

Use cases commonly involve parallel reductions or counters, such as building histograms, tracking event counts, or aggregating partial results in GPU kernels and multi-core CPUs. The primary advantage of an atomicsaddview is correctness in the presence of contention, ensuring that concurrent increments do not overwrite each other. However, atomic operations can incur contention costs and may limit scalability; performance depends on contention patterns and memory access locality.

Relation to broader concepts includes atomic data types, memory ordering, and synchronization primitives. Atomicsaddview is often part of a broader toolkit for safe shared-memory programming and is implemented differently across libraries and platforms.