Publication:
Optimizing and multithreading SNPHAP on a multi-core APU with OpenCL

Loading...
Thumbnail Image

Journal Title

Journal ISSN

Volume Title

Publisher

Research Projects

Organizational Units

Journal Issue

Abstract

In this paper, we have optimized and multithreaded SNPHAP, a bioinformatics program, with OpenCL to reduce the computation time and thus accelerate the execution. Our method is called Radix Comparison algorithm running in sequential and parallel (multithreading). Based on the recent multi-core AMD A6-3650 APU (Accelerated Processing Unit), the achieveable Speedups of Sequential Radix and Parallel Radix SNPHAP compared with the original SNPHAP are 260% and 271%, respectively. © 2012 IEEE.

Description

Keywords

Citation

Jcsse 2012 9th International Joint Conference on Computer Science and Software Engineering, 174-179, 2012

Collections

Endorsement

Review

Supplemented By

Referenced By