Gpu and multicore computing of two dimensional incompressible flow using stream function {u2013}vorticity formulation / Mohamed Moustafa Zaki Ahmed Kamra ; Supervised Atef Omar Sherif

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Mohamed Moustafa Zaki Ahmed Kamra

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Atef Omar Sherif []

Material type: Text

TextLanguage: English Publication details: Cairo : Mohamed Moustafa Zaki Ahmed Kamra , 2015Description: 103 P. : charts , facsimiles ; 30cmOther title:

الحساب المتوازى متعدد الأنوية و باستخدام المعالجات الرسومية فى حل الإنسياب غير القابل للانضغاط فى بعدين باستخدام صياغة السريان - الدوامية [Added title page title]

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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Aerospace Engineering Summary: This work presents an experiment with low cost parallel computing to solve two dimensional incompressible flow problems using the vorticity stream-function formulation two solve two standard problems, namely the internal laminar flow in a lid driven cavity and external flow over NACA0012. Results of the currently implemented code showed that a four core CPU can deliver up to 3.7X compared to 15.0X using a 1152 CUDA cores GPU with comparable cost and power consumption

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Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.01.M.Sc.2015.Mo.G (Browse shelf(Opens below))		Not for loan	01010110068101000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.01.M.Sc.2015.Mo.G (Browse shelf(Opens below))	68101.CD	Not for loan	01020110068101000

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Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Aerospace Engineering

This work presents an experiment with low cost parallel computing to solve two dimensional incompressible flow problems using the vorticity stream-function formulation two solve two standard problems, namely the internal laminar flow in a lid driven cavity and external flow over NACA0012. Results of the currently implemented code showed that a four core CPU can deliver up to 3.7X compared to 15.0X using a 1152 CUDA cores GPU with comparable cost and power consumption

Issued also as CD

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