Title :
Genetic epidemiology, parallel algorithms, and workstation networks
Author :
Chamberlain, Roger D. ; Peterson, Gregory D. ; Franklin, Mark A. ; Province, Michael A.
Author_Institution :
Comput. & Commun. Res. Center, Washington Univ., St. Louis, MO, USA
Abstract :
Many interesting problems in genetic epidemiology are formulated as non-linear optimization problems using the Gemini/Almini library of routines. Because of the wide availability of networked workstations, we investigate cost-effectively improving the performance of the Gemini/Almini library by exploiting parallelism with a set of workstations connected via a local area network. Instrumentation of the Gemini/Almini optimization routines reveals significant potential for improving performance via parallelism. Using these instrumentation results, we identify promising targets of parallelism and discuss two preliminary implementations that demonstrate the potential benefits of cost-effective parallel implementations. By applying parallelism to the Almini/Gemini routines, we hope to potentially improve the performance of a large number of genetic epidemiological applications
Keywords :
biology computing; genetics; local area networks; optimisation; parallel algorithms; software libraries; software performance evaluation; subroutines; Gemini/Almini library; cost-effective; cost-effective parallel implementations; genetic epidemiological applications; genetic epidemiology; local area network; networked workstations; nonlinear optimization problems; optimization routines; parallel algorithms; performance; routines; workstation networks; Asynchronous transfer mode; Computer networks; Concurrent computing; Costs; Genetics; Libraries; Local area networks; Parallel algorithms; Parallel processing; Workstations;
Conference_Titel :
System Sciences, 1995. Proceedings of the Twenty-Eighth Hawaii International Conference on
Conference_Location :
Wailea, HI
Print_ISBN :
0-8186-6930-6
DOI :
10.1109/HICSS.1995.375346
