Title
Using Sst/Macro For Effective Analysis Of Mpi-Based Applications: Evaluating Large-Scale Genomic Sequence Search
Keywords
Exascale architecture simulator; Message passing interface; MpiBLAST; Multiprocessor programming; Performance and scalability modeling
Abstract
Future and current high-performance computing applications will have to change and adapt as node architectures evolve. The application of advanced architecture simulators will play a crucial role for the design and optimization of future data intensive applications. In this paper, we present our simulation-based framework for analyzing the scalability and performance of a number of critical optimizations of a massively parallel genomic search application, mpiBLAST, using an advanced macroscale simulator (SST/macro). We report the use of our framework for the evaluation of three potential improvements of mpiBLAST: 1) enabling high-performance parallel output; 2) an approach for caching database fragments in memory; and 3) a methodology for pre-distributing database segments. In our experimental setup, we performed query sequence matching on the genome of the yellow fever mosquito, Aedes aegypti. © 2013 IEEE.
Publication Date
1-1-2013
Publication Title
IEEE Access
Volume
1
Number of Pages
428-435
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ACCESS.2013.2272434
Copyright Status
Unknown
Socpus ID
84923318839 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84923318839
STARS Citation
Dechev, Damian and Ahn, Tae Hyuk, "Using Sst/Macro For Effective Analysis Of Mpi-Based Applications: Evaluating Large-Scale Genomic Sequence Search" (2013). Scopus Export 2010-2014. 7271.
https://stars.library.ucf.edu/scopus2010/7271