Analyzing Performance and Power of Multicore Architecture Using Multithreaded Iterative Solver

Abstract

Problem statement: Scientific modeling and simulations have been popularly used with experiments and theoretical analysis in science and engineering communities. Approach: Consequently, computational demands are growing exponentially to afford large scale modeling and simulations. Results: As a result, multicore computing architectures had been proposed and several products are already available. However, we do not have a proper study on the performance, power and thermal issues of real science and engineering problems because software, which takes advantage of multicore architecture, is not available. Conclusion/Recommendations: In this study, we explored the performance and power characteristics of scientific algorithms on multicore architectures using a multithreaded version of sparse iterative linear solver, named mtCG, with real scientific application problems.