Name
Abstract | ||
|---|---|---|
Energy aware algorithms are the wave of the future. The development of exascale systems made it clear that extrapolations
of current technologies, algorithmic practices and performance metrics are simply inadequate. The community reacted by introducing
the FLOPS/WATT metric in order to promote energy awareness. In this work we take a step forward and argue what one should aim for is the
total reduction of the spent energy in conjunction with minimization of time to solution. Thus, we propose to use f(time
to
solution)⋅energy (FTTSE) as the performance metric, where f(⋅) is an application dependent function of time. In this paper, we introduce our ideas and showcase them with a recently
developed framework for solving large dense linear systems. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/s00450-010-0119-z | Computer Science - R&D |
Keywords | Field | DocType |
energy aware · performance metrics · analysis · fault tolerance,fault tolerant,linear system | Mathematical optimization,Algorithmics,Linear system,FLOPS,Computer science,Parallel computing,Performance metric,Minimisation (psychology),Minification,Fault tolerance,Artificial intelligence,Energy consumption | Journal |
Volume | Issue | ISSN |
25 | 3-4 | 1865-2042 |
Citations | PageRank | References |
28 | 1.67 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Constantine Bekas | 1 | 49 | 6.59 |
| Alessandro Curioni | 2 | 279 | 39.87 |