Effective Padding of Multi-Dimensional Arrays to Avoid Cache Conflict Misses
Caches are used to significantly improve performance. Even with high degrees of set-associativity, the number of accessed data elements mapping to the same set in a cache can easily exceed the degree of associativity, causing conflict misses and lowered performance, even if the working set is much smaller than cache capacity. Array padding (increasing the size of array dimensions) is a well known optimization technique that can reduce conflict misses. In this paper, we develop the first algorithms for optimal padding of arrays for a set associative cache for arbitrary tile sizes, In addition, we develop the first solution to padding for nested tiles and multi-level caches. The techniques are implemented in PAdvisor tool. Experimental results with multiple benchmarks demonstrate significant performance improvement from use of PAdvisor for padding.
Wed 15 Jun
|13:30 - 14:00|
Changwan Hong, Wenlei Bao, Albert Cohen, Sriram Krishnamoorthy, Louis-Noel Pouchet, J. Ramanujam, Fabrice Rastello, P. SadayappanMedia Attached
|14:00 - 14:30|
|Link to publication Media Attached|
|14:30 - 15:00|