Patent №
US 11,630,654
Granted
2023-04-18
Filed 2021
Owner
INTERNATIONAL BUSINESS MACHINES CORPORATION
Lab
AI components
3
kr · evo · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
17406152
Aspects include modeling data cache utilization for each loop in a loop nest; estimating total data cache lines fetched in one iteration of the loop; and determining the possibility of data cache reuse across loop iterations using data cache lines fetched and associativity constraints. Aspects also include estimating, for memory reference pairs, reuse by one reference of data cache line fetched by another; estimating total number of cache misses for all iterations of the loop; and estimating total number of cache misses of a reference for iterations of a next outer loop as equal to total cache misses for an entire inner loop. Aspects further include estimating memory cost of a loop unroll and jam transformation, without performing the transformation; and extending a data cache model to estimate best unroll-and-jam factors for the loop nest, capable of minimizing total cache misses incurred by the memory references in the loop body.
AI classification
Ownership
INTERNATIONAL BUSINESS MACHINES CORPORATION
assignment · 572230785
Assignors
TSANG, WAI HUNG, TIOTTO, ETTORE, MAHJOUR, BARDIA, BARUA, PRITHAYAN, SHIRAKO, JUN
On an employer assignment, the assignors are typically the inventors.