نتایج جستجو برای: dynamic voltage frequency scaling dvfs
تعداد نتایج: 1019733 فیلتر نتایج به سال:
In this paper, for the first time, the effect of the substrate doping of 22nm double-insulating UTBB silicon-on-insulator device on the switching performance and turn-on delay of the transistor is investigated. In UTBB devices, the substrate voltage is varied from positive to zero then negative voltages to trade-off transistor speed against the leakage current. Various circuit design procedures...
Parallel applications often rely on work stealing schedulers in combination with fine-grained tasking to achieve high performance and scalability. However, reducing the total energy consumption context of runtimes is still challenging, particularly when using asymmetric architectures different types CPU cores. A common approach for savings involves dynamic voltage frequency scaling (DVFS) where...
Embedded structures are for the most part essentialness constrained. Additionally, in these structures, extended effectiveness and decreased time to market are basic for thing accomplishment. To layout complex embedded systems while lessening the progression time and cost, there is a marvelous slant to use business off-the-rack ("COTS") devices. At structure level, dynamic voltage and frequency...
Graphics Processing Units (GPUs) support dynamic voltage and frequency scaling (DVFS) in order to balance computational performance and energy consumption. However there still lacks simple and accurate performance estimation of a given GPU kernel under different frequency settings on real hardware, which is important to decide best frequency configuration for energy saving. This paper reveals a...
Energy consumption is an important concern in modern multicore processors. The energy consumed during the execution of an application can be minimized by tuning the hardware state utilizing knobs such as frequency, voltage etc. The existing theoretical work on energy minimization using Global DVFS (Dynamic Voltage and Frequency Scaling), despite being thorough, ignores the energy consumed by th...
The demands of improving energy efficiency for high performance scientific applications arise crucially nowadays. Software-controlled hardware solutions directed by Dynamic Voltage and Frequency Scaling (DVFS) have shown their effectiveness extensively. Although DVFS is beneficial to green computing, introducing DVFS itself can incur non-negligible overhead, if there exist a large number of fre...
The reliance on Network-on-Chip (NoC)-based Multiprocessor Systems-on-Chips (MPSoCs) is proliferating in modern embedded systems to satisfy the higher performance requirement of multimedia streaming applications. Task level coarse grained software pipeling also called re-timing when combined with Dynamic Voltage and Frequency Scaling (DVFS) has shown be an effective approach significantly reduc...
The increased adoption of Graphics Processing Units (GPUs) to accelerate modern computational intensive applications, together with the strict power and energy constraints of many computing systems, has pushed for the development of efficient procedures to exploit dynamic voltage and frequency scaling (DVFS) techniques in GPUs. Although previous works have applied several pattern recognition te...
Powerand energy-efficiency are significant requirements in virtually all computer systems, from mobile devices to large-scale data centers. Power delivery is a process that distributes stable supply voltages to gates within an integrated circuit (IC). The design of such a delivery network is a critical task to guarantee functionality, timing, and operation reliability, and significantly affects...
This paper presents a dynamic voltage and frequency scaling (DVFS) technique that minimizes the total system energy consumption for performing a task while satisfying a given execution time constraint. We first show that in order to guarantee minimum energy for task execution by using DVFS it is essential to divide the system power into fixed, idle and active power components. Next, we present ...
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