The use of Bioinformatic tools in routine clinical diagnostics is still facing a number of issues. The more complex and advanced bioinformatic tools become, the more performance is required by the computing platforms. Unfortunately, the cost of parallel computing platforms is usually prohibitive for both public and small private medical practices. This paper presents a successful experience in using the parallel processing capabilities of Graphical Processing Units (GPU) to speed up bioinformatic tasks such as statistical classification of gene expression profiles. The results show that using open source CUDA programming libraries allows to obtain a significant increase in performances and therefore to shorten the gap between advanced bioinformatic tools and real medical practice.

GPU acceleration for statistical gene classification / Benso, Alfredo; DI CARLO, Stefano; Politano, GIANFRANCO MICHELE MARIA; Savino, Alessandro. - STAMPA. - 2:(2010), pp. 1-6. (Intervento presentato al convegno IEEE International Conference on Automation, Quality and Testing Robotics (AQTR) tenutosi a Cluj Napoca, RO nel 28-30 May 2010) [10.1109/AQTR.2010.5520794].

GPU acceleration for statistical gene classification

BENSO, Alfredo;DI CARLO, STEFANO;POLITANO, GIANFRANCO MICHELE MARIA;SAVINO, ALESSANDRO
2010

Abstract

The use of Bioinformatic tools in routine clinical diagnostics is still facing a number of issues. The more complex and advanced bioinformatic tools become, the more performance is required by the computing platforms. Unfortunately, the cost of parallel computing platforms is usually prohibitive for both public and small private medical practices. This paper presents a successful experience in using the parallel processing capabilities of Graphical Processing Units (GPU) to speed up bioinformatic tasks such as statistical classification of gene expression profiles. The results show that using open source CUDA programming libraries allows to obtain a significant increase in performances and therefore to shorten the gap between advanced bioinformatic tools and real medical practice.
2010
9781424467242
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2365748
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