An analysis of the Burrows-Wheeler transform
Proceedings of the tenth annual ACM-SIAM symposium on Discrete algorithms
Opportunistic data structures with applications
FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
Bioinformatics
Sequence alignment with GPU: Performance and design challenges
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
Bio-sequence database scanning on a GPU
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Bioinformatics
OpenCL Programming Guide
Parallel architecture for DNA sequence inexact matching with Burrows-Wheeler Transform
Microelectronics Journal
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General Purpose Graphic Processing Units (GPGPUs) constitute an inexpensive resource for computing-intensive applications that could exploit an intrinsic fine-grain parallelism. This paper presents the design and implementation in GPGPUs of an exact alignment tool for nucleotide sequences based on the Burrows-Wheeler Transform. We compare this algorithm with state-of-the-art implementations of the same algorithm over standard CPUs, and considering the same conditions in terms of I/O. Excluding disk transfers, the implementation of the algorithm in GPUs shows a speedup larger than 12{\times}, when compared to CPU execution. This implementation exploits the parallelism by concurrently searching different sequences on the same reference search tree, maximizing memory locality and ensuring a symmetric access to the data. The paper describes the behavior of the algorithm in GPU, showing a good scalability in the performance, only limited by the size of the GPU inner memory.