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

Autor:	Surin Kittitornkun, Apisit Rattanatranurak, Sissades Tongsima
Rok vydání:	2012
Předmět:	Instruction set Multi-core processor Accelerated processing unit Computer science Computation Multithreading Radix Parallel computing Hardware_ARITHMETICANDLOGICSTRUCTURES Temporal multithreading
Zdroj:	2012 Ninth International Conference on Computer Science and Software Engineering (JCSSE).
DOI:	10.1109/jcsse.2012.6261947
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::669a3f2e865218c8a0333674d38be0f2 https://doi.org/10.1109/jcsse.2012.6261947 Zobrazit plný text záznamu