New sequencing technologies have broken many experimental barriers to genome scale sequencing, leading to the extraction of huge quantities of sequence data. This expansion of biological databases established the need for new ways to harness and apply the astounding amount of available genomic information and convert it into substantive biological understanding.
A complilation of recent approaches from prominent researchers, Bioinformatics: High Performance Parallel Computer Architectures discusses how to take advantage of bioinformatics applications and algorithms on a variety of modern parallel architectures. Two factors continue to drive the increasing use of modern parallel computer architectures to address problems in computational biology and bioinformatics: high-throughput techniques for DNA sequencing and gene expression analysis—which have led to an exponential growth in the amount of digital biological data—and the multi- and many-core revolution within computer architecture.
Presenting key information about how to make optimal use of parallel architectures, this book:
Because the amount of publicly available sequence data is growing faster than single processor core performance speed, modern bioinformatics tools need to take advantage of parallel computer architectures. Now that the era of the many-core processor has begun, it is expected that future mainstream processors will be parallel systems. Beneficial to anyone actively involved in research and applications, this book helps you to get the most out of these tools and create optimal HPC solutions for bioinformatics.
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Bertil Schmidt is Associate Professor at the School of Computer Engineering at Nanyang Technological University (NTU), Singapore. Prior to that, he was faculty member at the University of New South Wales and Senior Researcher at the University of Melbourne, Australia. At NTU he also held appointments as Program Director M.Sc. in Bioinformatics and Deputy Director of BMERC. Before coming to Singapore, he held research appointments at the Karlsruhe Institute of Technology (KIT) and RWTH Aachen. Bertil has been involved in the design and implementation of parallel algorithms and architectures for over a decade. He has worked extensively with fine-grained (e.g. GPUs, FPGAs, Cell BE), coarse-grained (clusters, grids) as well as hybrid parallel architectures. He has successfully applied these technologies to various domains including bioinformatics, image processing, multimedia video compression, and cryptography. He has published more than 35 journal papers in leading journals such as Journal of VLSI Signal Processing, Microelectronic Engineering, IEEE Transactions on Circuits and Systems II, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on IT in Biomedicine, Journal of Parallel and Distributed Computing, Parallel Computing, Concurrency and Computation: Practice and Experience, Future Generation Computer Systems, Bioinformatics, BMC Bioinformatics, Autoimmunity, and Computer Physics Communications.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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