无线传感器网络中通信终端的能量非常有限,但在许多应用场景下,节点的能量消耗较大,因此采用有效的功率控制策略非常重要。利用信道增益的对称性,在AODV协议的基础上提出了一种不依赖于地理位置信息的跨层功率控制路由协议PBAODV(Power ...无线传感器网络中通信终端的能量非常有限,但在许多应用场景下,节点的能量消耗较大,因此采用有效的功率控制策略非常重要。利用信道增益的对称性,在AODV协议的基础上提出了一种不依赖于地理位置信息的跨层功率控制路由协议PBAODV(Power aware Based AODV),分析与实验表明该协议在不影响其他网络性能指标的前提下,有效的降低了系统整体能耗。展开更多
Wearable devices become popular because they can help people observe health condition.The battery life is the critical problem for wearable devices. The non-volatile memory(NVM) attracts attention in recent years beca...Wearable devices become popular because they can help people observe health condition.The battery life is the critical problem for wearable devices. The non-volatile memory(NVM) attracts attention in recent years because of its fast reading and writing speed, high density, persistence, and especially low idle power. With its low idle power consumption,NVM can be applied in wearable devices to prolong the battery lifetime such as smart bracelet. However, NVM has higher write power consumption than dynamic random access memory(DRAM). In this paper, we assume to use hybrid random access memory(RAM)and NVM architecture for the smart bracelet system.This paper presents a data management algorithm named bracelet power-aware data management(BPADM) based on the architecture. The BPADM can estimate the power consumption according to the memory access, such as sampling rate of data, and then determine the data should be stored in NVM or DRAM in order to satisfy low power. The experimental results show BPADM can reduce power consumption effectively for bracelet in normal and sleeping modes.展开更多
To enhance the energy efficiency and performance of algorithms with Graphics Processing Unit （GPU） accelerators in source-code development, we consider the power efficiency based on data transfer bandwidth and power...To enhance the energy efficiency and performance of algorithms with Graphics Processing Unit （GPU） accelerators in source-code development, we consider the power efficiency based on data transfer bandwidth and power consumption in key situations. First, a set of primitives is abstracted from program statements. Then, data transfer bandwidth and power consumption in different granularity sizes are consid- ered and mapped into proper primitives. With these mappings, a programmer can intuitively determine the power efficiency and performance in different running states of a thread. Finally, this intuition enables the programmer to tune the algorithm in order to achieve the best energy efficiency and performance. Using these power-aware principles, two Fast Fourier Transform （FFT） methods are compared. The mapping be- tween power consumption and primitives is helpful for algorithm tuning in source-code levels.展开更多
Amdahl’s Law painted a bleak picture for large-scale computing.The implication was that parallelism was limited and therefore so was potential speedup.While Amdahl’s contribution was seminal and important,it drove o...Amdahl’s Law painted a bleak picture for large-scale computing.The implication was that parallelism was limited and therefore so was potential speedup.While Amdahl’s contribution was seminal and important,it drove others vested in parallel processing to define more clearly why large-scale systems are critical to our future and how they fundamentally provide opportunities for speedup beyond Amdahl’s predictions.In the early 2000s,much like Amdahl,we predicted dire consequences for large-scale systems due to power limits.While our early work was often dismissed,the implications were clear to some:power would ultimately limit performance.In this retrospective,we discuss how power-performance measurement and modeling at scale led to contributions that have driven server and supercomputer design for more than a decade.While the influence of these techniques is now indisputable,we discuss their connections,limits and additional research directions necessary to continue the performance gains our industry is accustomed to.展开更多
提出了一种TBPR(time-based broadcasting for power-aware routing)协议.TBPR采用路由请求报文延迟发送机制,并通过比较路径中的累计功率消耗,选择能量消耗较低的路由,以降低网络的能量消耗,延长网络的生存周期.计算机仿真实验表明,TBP...提出了一种TBPR(time-based broadcasting for power-aware routing)协议.TBPR采用路由请求报文延迟发送机制,并通过比较路径中的累计功率消耗,选择能量消耗较低的路由,以降低网络的能量消耗,延长网络的生存周期.计算机仿真实验表明,TBPR能够取得较好的节能效果,并降低无线AdHoc网络中的能量消耗.展开更多
文摘无线传感器网络中通信终端的能量非常有限,但在许多应用场景下,节点的能量消耗较大,因此采用有效的功率控制策略非常重要。利用信道增益的对称性,在AODV协议的基础上提出了一种不依赖于地理位置信息的跨层功率控制路由协议PBAODV(Power aware Based AODV),分析与实验表明该协议在不影响其他网络性能指标的前提下,有效的降低了系统整体能耗。
基金supported by the Research Fund of National Key Laboratory of Computer Architecture under Grant No.CARCH201501the Open Project Program of the State Key Laboratory of Mathematical Engineering and Advanced Computing under Grant No.2016A09
文摘Wearable devices become popular because they can help people observe health condition.The battery life is the critical problem for wearable devices. The non-volatile memory(NVM) attracts attention in recent years because of its fast reading and writing speed, high density, persistence, and especially low idle power. With its low idle power consumption,NVM can be applied in wearable devices to prolong the battery lifetime such as smart bracelet. However, NVM has higher write power consumption than dynamic random access memory(DRAM). In this paper, we assume to use hybrid random access memory(RAM)and NVM architecture for the smart bracelet system.This paper presents a data management algorithm named bracelet power-aware data management(BPADM) based on the architecture. The BPADM can estimate the power consumption according to the memory access, such as sampling rate of data, and then determine the data should be stored in NVM or DRAM in order to satisfy low power. The experimental results show BPADM can reduce power consumption effectively for bracelet in normal and sleeping modes.
基金Supported by the National Natural Science Foundation of China (No. 61170053)the Natural Science Foundation of Beijing (No. 4112027)the China HGJ Significant Project (No. 2009ZX01036-001-002-4)
文摘To enhance the energy efficiency and performance of algorithms with Graphics Processing Unit （GPU） accelerators in source-code development, we consider the power efficiency based on data transfer bandwidth and power consumption in key situations. First, a set of primitives is abstracted from program statements. Then, data transfer bandwidth and power consumption in different granularity sizes are consid- ered and mapped into proper primitives. With these mappings, a programmer can intuitively determine the power efficiency and performance in different running states of a thread. Finally, this intuition enables the programmer to tune the algorithm in order to achieve the best energy efficiency and performance. Using these power-aware principles, two Fast Fourier Transform （FFT） methods are compared. The mapping be- tween power consumption and primitives is helpful for algorithm tuning in source-code levels.
文摘Amdahl’s Law painted a bleak picture for large-scale computing.The implication was that parallelism was limited and therefore so was potential speedup.While Amdahl’s contribution was seminal and important,it drove others vested in parallel processing to define more clearly why large-scale systems are critical to our future and how they fundamentally provide opportunities for speedup beyond Amdahl’s predictions.In the early 2000s,much like Amdahl,we predicted dire consequences for large-scale systems due to power limits.While our early work was often dismissed,the implications were clear to some:power would ultimately limit performance.In this retrospective,we discuss how power-performance measurement and modeling at scale led to contributions that have driven server and supercomputer design for more than a decade.While the influence of these techniques is now indisputable,we discuss their connections,limits and additional research directions necessary to continue the performance gains our industry is accustomed to.
文摘提出了一种TBPR(time-based broadcasting for power-aware routing)协议.TBPR采用路由请求报文延迟发送机制,并通过比较路径中的累计功率消耗,选择能量消耗较低的路由,以降低网络的能量消耗,延长网络的生存周期.计算机仿真实验表明,TBPR能够取得较好的节能效果,并降低无线AdHoc网络中的能量消耗.
