Analyzing Performance and Power of Multicore Architecture Using Multithreaded Iterative Solver
DOI : 10.3844/jcssp.2010.406.412
Journal of Computer Science
Volume 6, Issue 4
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.
© 2010 Ingyu Lee. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.