With the necessity of increased processing capacity with less energy consumption; power aware multiprocessor system has gained more attention in the recent future. One of the additional challenges that is to be solved in a multi-processor system when compared to uni-processor system is job allocation. This paper presents a novel task dependent job allocation algorithm: Energy centric- Allocation (Ec-A) and Rate Monotonic (RM) scheduling to minimize energy consumption in a multiprocessor system. A simulation analysis is carried out to verify the performance increase with reduction in energy consumption and required number of processors in the system
The high power consumption of modern processors becomes a major concern because it leads to decrease...
In multicore systems, shared resources such as caches or the memory subsystem can lead to contention...
International audienceThe energy consumption of computational platforms has recently become a critic...
With the necessity of increased processing capacity with less energy consumption; power aware multip...
Multicore and multiprocessor systems with dynamic voltage scaling architectures are being used as on...
A wide variety of research has been done to study the NP-complete optimization problem of multi-proc...
Abstract — In computing field, central processing unit (CPU) plays role of running the jobs. The aim...
Many systems today are heterogeneous in that they consist of a mix of different types of processing ...
Performance and energy are two crucial but conflicting objectives in the design of modern high-perfo...
Abstract—As application complexity increases, modern embedded systems have adopted heterogeneous pro...
Abstract—In high-performance computing systems, efficient energy management is a key feature for kee...
Supercomputer\u27s fast processing speed provides a great convenience to the scientists who dealing ...
Energy minimization is an important issue in our days [8]. One of the main mechanisms for reducing t...
In this paper, we address energy-aware online scheduling of jobs with resource contention. We propos...
The energy consumption of computational platforms has recently become a critical problem, both for e...
The high power consumption of modern processors becomes a major concern because it leads to decrease...
In multicore systems, shared resources such as caches or the memory subsystem can lead to contention...
International audienceThe energy consumption of computational platforms has recently become a critic...
With the necessity of increased processing capacity with less energy consumption; power aware multip...
Multicore and multiprocessor systems with dynamic voltage scaling architectures are being used as on...
A wide variety of research has been done to study the NP-complete optimization problem of multi-proc...
Abstract — In computing field, central processing unit (CPU) plays role of running the jobs. The aim...
Many systems today are heterogeneous in that they consist of a mix of different types of processing ...
Performance and energy are two crucial but conflicting objectives in the design of modern high-perfo...
Abstract—As application complexity increases, modern embedded systems have adopted heterogeneous pro...
Abstract—In high-performance computing systems, efficient energy management is a key feature for kee...
Supercomputer\u27s fast processing speed provides a great convenience to the scientists who dealing ...
Energy minimization is an important issue in our days [8]. One of the main mechanisms for reducing t...
In this paper, we address energy-aware online scheduling of jobs with resource contention. We propos...
The energy consumption of computational platforms has recently become a critical problem, both for e...
The high power consumption of modern processors becomes a major concern because it leads to decrease...
In multicore systems, shared resources such as caches or the memory subsystem can lead to contention...
International audienceThe energy consumption of computational platforms has recently become a critic...