Our approach works by splitting input data into overlapping blocks with equal size, and running them through the FM-index algorithm simultaneously on multiple ...
With the popularity of multi-core processors, parallel computing allows the FM- index to run faster by performing multiple computations si- multaneously when ...
Our approach works by splitting input data into overlapping blocks with equal size, and running them through the FM-index algorithm simultaneously on multiple ...
Our approach works by splitting input data into overlapping blocks with equal size, and running them through the FM-index algorithm simultaneously on multiple ...
Our approach works by splitting input data into overlapping blocks with equal size, and running them through the FM-index algorithm simultaneously on multiple ...
We present parallel lightweight algorithms to construct wavelet trees, rank and select structures, and suffix arrays in a shared-memory setting.
Original language, English. Title of host publication, 2008 10th IEEE International Conference on High Performance Computing and Communications.
Our approach works by splitting input data into overlapping blocks with equal size, and running them through the FM-index algorithm simultaneously on multiple ...
Sep 25, 2008 · Our approach works by splitting input data into overlapping blocks with equal size, and running them through the FM-index algorithm ...
Parallelization of FM-Index (2008) | Di Zhang | 3 Citations - Typeset.io
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Our approach works by splitting input data into overlapping blocks with equal size, and running them through the FM-index algorithm simultaneously on multiple ...