%0 Journal Article
%J Philosophical Transactions of the Royal Society A -- Mathematical, Physical and Engineering Sciences
%D 2014
%T Improving the Energy Efficiency of Sparse Linear System Solvers on Multicore and Manycore Systems
%A Hartwig Anzt
%A Enrique S. Quintana-OrtÃ
%K energy efficiency
%K graphics processing units
%K High Performance Computing
%K iterative solvers
%K multicore processors
%K sparse linear systems
%X 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 technologies 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 analyze 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.
%B Philosophical Transactions of the Royal Society A -- Mathematical, Physical and Engineering Sciences
%V 372
%8 07-2014
%G eng
%N 2018
%R 10.1098/rsta.2013.0279