A pluggable framework for parallel pairwise sequence search.
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.
Archuleta
Jeremy
J
Department of Computer Science, Virginia Tech, Blacksburg, VA 24061, USA. jsarch@cs.vt.edu
Feng
Wu-chun
WC
Tilevich
Eli
E
D000465:Algorithms; D003199:Computer Systems; D016247:Information Storage and Retrieval / Q000379:methods*; D012984:Software