Title :
Enhancing Parallelism of Data-Intensive Bioinformatics Applications
Author :
Zheng Xie ; Liangxiu Han ; Baldock, Richard
Author_Institution :
Sch. of Comput., Manchester Metropolitan Univ., Manchester, UK
Abstract :
Bioinformatics data-resources collected from heterogeneous and distributed sources can contain hundreds of Terra-Bytes and the efficient exploration on these large amounts of data is a critical task to enable scientists to gain new biological insight. In this work, an MPI-based parallel architecture has been designed for enhancing performance of biomedical data intensive applications. The experiment results show the system has achieved super-linear speedup and high scalability.
Keywords :
bioinformatics; message passing; parallel architectures; MPI-based parallel architecture; bioinformatics data-resources; data-intensive bioinformatics applications; distributed sources; heterogeneous sources; message passing interface; parallelism; super-linear speedup; terra-bytes; Message Passing Interface; collective/point-to-point communicators; data intensive application; fine-grain parallelism; gene pattern recognition; high scalability; super-linear speedup; task/data parallelisms;
Conference_Titel :
Modelling and Simulation (EUROSIM), 2013 8th EUROSIM Congress on
Conference_Location :
Cardiff
DOI :
10.1109/EUROSIM.2013.93
