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Latency Based Tiling

Published: September 26, 2025 | arXiv ID: 2510.15912v1

By: Jack Cashman

Potential Business Impact:

Makes computer programs run faster by using memory better.

Business Areas:
Natural Language Processing Artificial Intelligence, Data and Analytics, Software

Latency Based Tiling provides a systems based approach to deriving approximate tiling solution that maximizes locality while maintaining a fast compile time. The method uses triangular loops to characterize miss ratio scaling of a machine avoiding prefetcher distortion. Miss ratio scaling captures the relationship between data access latency and working set size with sharp increases in latency indicating the data footprint exceeds capacity from a cache level. Through these noticeable increases in latency we can determine an approximate location for L1, L2, and L3 memory sizes. These sizes are expected to be under approximations of a systems true memory sizes which is in line with our expectations given the shared nature of cache in a multi process system as described in defensive loop tiling. Unlike auto tuning, which can be effective but prohibitively slow, Latency Based Tiling achieves negligible compile time overhead. The implementation in Rust enables a hardware agnostic approach which combined with a cache timing based techniques, yields a portable, memory safe system running wherever Rust is supported. The tiling strategy is applied to a subset of the polyhedral model, where loop nestings are tiled based on both the derived memory hierarchy and the observed data footprint per iteration.

Country of Origin
🇺🇸 United States

Page Count
9 pages

Category
Computer Science:
Programming Languages