Title :
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
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);
Conference_Titel :
Electronic Design, Computer Networks & Automated Verification (EDCAV), 2015 International Conference on
Conference_Location :
Shillong
Print_ISBN :
978-1-4799-6207-5
DOI :
10.1109/EDCAV.2015.7060557
