Improving the energy efficiency of sparse linear system solvers on multicore and manycore systems

H. Anzt, E. S. Quintana-Orti
2014 Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences  
One contribution of 14 to a Theme Issue 'Stochastic modelling and energy-efficient computing for weather and climate prediction' . While most recent breakthroughs in scientific research rely on complex simulations carried out in large-scale supercomputers, the power draft and energy spent for this purpose is increasingly becoming a limiting factor to this trend. In this paper, we provide an overview of the current status in energy-efficient scientific computing by reviewing different
more » ... s used to monitor power draft as well as power-and energy-saving mechanisms available in commodity hardware. For the particular domain of sparse linear algebra, we analyse the energy efficiency of a broad collection of hardware architectures and investigate how algorithmic and implementation modifications can improve the energy performance of sparse linear system solvers, without negatively impacting their performance.
doi:10.1098/rsta.2013.0279 pmid:24842036 fatcat:kw7cnmvzrff6pmihhqenl53uwm