A review on accelerating scientific computations using the Conjugate Gradient method

Author

Debnath, Shreyasee ; Tamuli, Manashwi ; Ray, Ashok ; Trivedi, Gaurav

Author_Institution

Dept. of Electron. & Commun. Eng., North Eastern Regional Inst. of Sci. & Technol., Nirjuli, India

fYear

2015

fDate

29-30 Jan. 2015

Firstpage

150

Lastpage

153

Abstract

Conjugate Gradient method is a very efficient iterative method for solving large systems of equations arising from real life scientific computing applications. In this paper we present the Conjugate Gradient method and its variants in brief. We also present a comparative analysis of implementations of this method on various platforms like FPGAs, GPUs etc which are suitable for High Performance Computing.

Keywords

conjugate gradient methods; field programmable gate arrays; graphics processing units; iterative methods; natural sciences computing; parallel processing; FPGAs; GPUs; conjugate gradient method; high performance computing; iterative method; scientific computations; Central Processing Unit; Computational modeling; Equations; Field programmable gate arrays; Gradient methods; Graphics processing units; Mathematical model; Central Processing Unit (CPU); Conjugate Gradient (CG); Field Programmable Gate Array (FPGA); General Purpose Processor (GPP); Graphics Processing Unit (GPU); Reconfigurable Computer (RC);

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic Design, Computer Networks & Automated Verification (EDCAV), 2015 International Conference on

Conference_Location

Shillong

Print_ISBN

978-1-4799-6207-5

Type

conf

DOI

10.1109/EDCAV.2015.7060557

Filename

7060557