Analyzing Performance and Power of Multicore Architecture Using Multithreaded Iterative Solver
M. · Journal of Computer Science · 2010
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.