Abstract
A cache oblivious matrix transposition algorithm is implemented and analyzed using simulation and hardware performance counters. Contrary to its name, the cache oblivious matrix transposition algorithm is found to exhibit a complex cache behavior with a cache miss ratio that is strongly dependent on the associativity of the cache. In some circumstances the cache behavior is found to be worst than that of a naïve transposition algorithm. While the total size is an important factor in determining cache usage efficiency, the sub-block size, associativity, and cache line replacement policy are also shown to be very important.
Original language | English |
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Pages (from-to) | 17-25 |
Number of pages | 9 |
Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Volume | 3037 |
DOIs | |
Publication status | Published - 1 Dec 2004 |
Externally published | Yes |