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| Title | Improving the Energy Efficiency of Sparse Linear System Solvers on Multicore and Manycore Systems |
| Publication Type | Journal Article |
| Year of Publication | 2014 |
| Authors | Anzt, H., and E. S. Quintana-Orti |
| Journal | Philosophical Transactions of the Royal Society A -- Mathematical, Physical and Engineering Sciences |
| Volume | 372 |
| Issue | 2018 |
| Date Published | 2014-07 |
| Keywords | energy efficiency, graphics processing units, High Performance Computing, iterative solvers, multicore processors, sparse linear systems |
| Abstract | 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. |
| DOI | 10.1098/rsta.2013.0279 |
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