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The FM-index is a well-known compressed full-text index, based on theBurrows-Wheeler transform (BWT). During a pattern search, the BWT sequence isaccessed at "random" locations, which is cache-unfriendly. In this paper, weare interested in speeding up the FM-index by working on $q$-grams rather thanindividual characters, at the cost of using more space. The first presentedvariant is related to an inverted index on $q$-grams, yet the occurrence listsin our solution are in the sorted suffix order rather than text order in atraditional inverted index. This variant obtains $O(m/|CL| + \log n \log m)$cache misses in the worst case, where $n$ and $m$ are the text and patternlengths, respectively, and $|CL|$ is the CPU cache line size, in symbols(typically 64 in modern hardware). This index is often several times fasterthan the fastest known FM-indexes (especially for long patterns), yet the spacerequirements are enormous, $O(n\log^2 n)$ bits in theory and about $80n$-$95n$bytes in practice. For this reason, we dub our approach FM-bloated. The secondpresented variant requires $O(n\log n)$ bits of space.

A bloated FM-index reducing the number of cache misses during the search