A. Parikh, M. Kandemir, N. Vijaykrishnan, and M. Irwin. Energy-aware instruction scheduling. In Proc. International Conference on High Performance Computing, pages 335--344, December 2000. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Power-aware Scheduling for Embedded Systems under.. - Liu, Chou, Aranki.. (Correct)
....minimization Some recent studies use profiling to estimate the energy consumption of individual instructions. Such techniques are extended to instruction scheduling in an effort to minimize the energy consumption of program execution on a processor. Parikh et al. presented a scheduling scheme [30, 29] based on profiling information that captures not only energy consumption for individual instructions, but also the inter instruction energy consumption between two consecutive instructions. Therefore, the scheduler can choose an optimal sequence to execute the instruction stream such that the ....
A. Parikh, M. Kandemir, N. Vijaykrishnan, and M. Irwin. Energy-aware instruction scheduling. In Proc. International Conference on High Performance Computing, pages 335--344, December 2000.
IMPACCT: Methodology and Tools for Power-Aware Embedded.. - Chou, Liu, Li, Bagherzadeh (2002) (3 citations) (Correct)
....peripheral devices, and battery models. On scheduling, we are investigating on line, battery aware algorithms under not only power constraints but also energy constraints. This will be supported by models for batteries and other energy sources [21, 33, 47] Some initial work was recently propose [29, 32], but we believe energy constraints must be considered in the context of the battery discharge and even recharge characteristics. Schedulers that are aware of battery discharge characteristics have been proposed [28, 33] but they do not treat power as constraints. On mode selection, it is being ....
A. Parikh, M. Kandemir, N. Vijaykrishnan, and M. Irwin. Energy-aware instruction scheduling. In Proc. International Conference on High Performance Computing, pages 335--344, December 2000.
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