CPUcacher

CPUcacher is a software framework intended to improve CPU cache efficiency by storing frequently reused computations and data near the processor. It can be deployed as a library within applications or as a compiler-assisted system that instruments code to identify caching opportunities and to manage an in-process cache.

The core architecture consists of a software-managed cache layer that stores entries identified by a key derived from the inputs and the computation, a cache policy module (such as LRU or more advanced strategies) for eviction, and a predictor that analyzes access patterns to prefetch or pre-warm entries. The cache can reside in standard process memory, with optional integration to hardware-assisted features such as prefetch hints.

Programming model: provides APIs to opt into caching for functions or code regions, and supports multi-language bindings (for example C/C++, Rust, and Python). It offers mechanisms for cache invalidation when data mutates, and includes thread-safety guarantees for concurrent access. Typical usage involves annotating hot paths or enabling automatic instrumentation during compilation.

Performance and limitations: potential improvements occur for workloads with repeated inputs and stable access patterns, by reducing cache misses and recomputation. Overheads include key generation costs, synchronization, and potential cache pollution if misused. Effectiveness depends on data locality, workload characteristics, and hardware features.

History and status: proposed in academic and industry discussions as part of cache-aware optimization efforts. As of the present, CPUcacher exists as a conceptual framework and is implemented in various experimental toolchains, with varying levels of maturity and portability across architectures.

Related topics include CPU cache architecture, memoization, caching strategies, and near-data processing.