International audienceModern DRAM technologies offer power management features for energy consumption optimization. It consists of multi-banking the addressing space instead of monolithic memory. The main advantage in this approach is the capability of setting banks in low power modes when they are not accessed, such that only the accessed bank is maintained in active mode. In this paper we investigate how this power management capability can be handled for real-time and multitasking applications. We aim to find, based on the application scheduler, both an efficient allocation of application's tasks to memory banks, and the corresponding memory configuration that lessen the energy consumption: number of banks and the size of each bank. Resu...
This paper presents a new technique to improve the efficiency of data scheduling for multi-context r...
International audienceRecent trends of CMOS technology scaling and wide-spread use of multicore proc...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
International audienceIn order to minimize the energy consumed by the main memory in embedded system...
Abstract − This paper presents an efficient system level power saving method for DRAM with multiple ...
In embedded systems, especially battery-driven mobile devices, energy is one of the most critical pe...
Main memory is responsible for a significant fraction of the energy consumed by servers. Prior work ...
Energy management is a problem of all types of computing devices. For example, short battery life is...
Several techniques were developed to reduce processor consumption which was considered as the domina...
Main memory has become one of the largest contributors to overall energy consumption and offers many...
Energy consumption is a limiting constraint for both embedded and high performance systems. CPU-core...
Existing techniques manage power for the main memory by passively monitoring the memory traffic, and...
Main memory has become one of the largest contributors to overall energy consumption and offers many...
This report presents our exploratory efforts for managing main memory power-aware chips. Current sta...
Energy management has become a key issue in the design of computing systems in both mobile as well a...
This paper presents a new technique to improve the efficiency of data scheduling for multi-context r...
International audienceRecent trends of CMOS technology scaling and wide-spread use of multicore proc...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
International audienceIn order to minimize the energy consumed by the main memory in embedded system...
Abstract − This paper presents an efficient system level power saving method for DRAM with multiple ...
In embedded systems, especially battery-driven mobile devices, energy is one of the most critical pe...
Main memory is responsible for a significant fraction of the energy consumed by servers. Prior work ...
Energy management is a problem of all types of computing devices. For example, short battery life is...
Several techniques were developed to reduce processor consumption which was considered as the domina...
Main memory has become one of the largest contributors to overall energy consumption and offers many...
Energy consumption is a limiting constraint for both embedded and high performance systems. CPU-core...
Existing techniques manage power for the main memory by passively monitoring the memory traffic, and...
Main memory has become one of the largest contributors to overall energy consumption and offers many...
This report presents our exploratory efforts for managing main memory power-aware chips. Current sta...
Energy management has become a key issue in the design of computing systems in both mobile as well a...
This paper presents a new technique to improve the efficiency of data scheduling for multi-context r...
International audienceRecent trends of CMOS technology scaling and wide-spread use of multicore proc...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...