Title :
A Pluggable Framework for Parallel Pairwise Sequence Search
Author :
Archuleta, J. ; Wu-chun Feng ; Tilevich, E.
Author_Institution :
Virginia Tech, Blacksburg
Abstract :
The current and near future of the computing industry is one of multi-core and multi-processor technology. Most existing sequence-search tools have been designed with a focus on single-core, single-processor systems. This discrepancy between software design and hardware architecture substantially hinders sequence-search performance by not allowing full utilization of the hardware. This paper presents a novel framework that will aid the conversion of serial sequence-search tools into a parallel version that can take full advantage of the available hardware. The framework, which is based on a software architecture called mixin layers with refined roles, enables modules to be plugged into the framework with minimal effort. The inherent modular design improves maintenance and extensibility, thus opening up a plethora of opportunities for advanced algorithmic features to be developed and incorporated while routine maintenance of the codebase persists.
Keywords :
biology computing; genetics; parallel algorithms; query formulation; software architecture; computing industry; genetics; mixin layer; multicore technology; multiprocessor technology; parallel pairwise sequence search; pluggable framework; serial sequence-search tool; single-processor system; Central Processing Unit; Computer industry; Concurrent computing; Databases; Genetics; Hardware; Parallel processing; Scattering; Software design; Throughput; Algorithms; Computer Systems; Information Storage and Retrieval; Software;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4352239