A parallel programming framework with Markovian messaging for LC-MS peptide detection Conference Paper

abstract

• In this poster, we present our initial results on designing a parallel programing framework to support advanced signal processing algorithms for peak detection in Liquid Chromatography-Mass Spectrometry (LC-MS) data. We propose the PAMM programming model and implement a parallel LC-MS peak detection algorithm (BPDA2d) that requires Gibbs sampling. Our initial measurements show that the parallel code is able to achieve significant speedup while offering fault tolerance. 2011 IEEE.

name of conference

• 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)

authors

• Braga Neto, Ulisses
• Dougherty, Edward

published proceedings

• 2011 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE WORKSHOPS

author list (cited authors)

• Zhang, Z., Sun, Y., Braga-Neto, U., Dougherty, E., & Zhang, J.

citation count

• 0

complete list of authors

• Zhang, Zhenghao||Sun, Youting||Braga-Neto, Ulisses||Dougherty, Edward||Zhang, Jianqiu

publication date

• January 2011

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• n2163-6966ISSN  Journal

keywords

• Fault Tolerance
• Parallel Processing

Digital Object Identifier (DOI)

• 10.1109/bibmw.2011.6112559

International Standard Book Number (ISBN) 13

• 9781457716133

start page

• 1057

end page

• 1059

volume

• 1

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fbibmw.2011.6112559