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2013 8th IEEE Design and Test Symposium最新文献

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Performance evaluation of ZF and MMSE equalizers for wavelets V-Blast 小波V-Blast中ZF和MMSE均衡器的性能评价
Pub Date : 2013-12-01 DOI: 10.1109/IDT.2013.6727089
R. Asif, M. S. BinMilha, A. Hussaini, R. Abd‐Alhameed, S. R. Jones, J. Noras, Jonathan Rodriguez
In this work we present the work on the equalization algorithms to be used in future orthogonally multiplexed wavelets based multi signaling communication systems. The performance of ZF and MMSE algorithms has been analyzed using SISO and MIMO communication models. The transmitted electromagnetic waves were subjected through Rayleigh multipath fading channel with AWGN. The results showed that the performance of both of the above mentioned algorithms is the same in SISO channel but in MIMO environment MMSE has better performance.
在这项工作中,我们提出了在未来基于正交多路小波的多信号通信系统中使用的均衡算法的工作。利用SISO和MIMO通信模型分析了ZF和MMSE算法的性能。发射的电磁波经过带AWGN的瑞利多径衰落信道。结果表明,上述两种算法在SISO信道下的性能基本相同,但在MIMO环境下,MMSE的性能更好。
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引用次数: 0
Architectural support for runtime verification on ccNUMA multiprocessors 对ccNUMA多处理器运行时验证的体系结构支持
Pub Date : 2013-12-01 DOI: 10.1109/IDT.2013.6727122
Ahmed Nassar, F. Kurdahi
This paper presents a runtime verification (RV) framework on distributed shared-memory multiprocessors based on explicit functional/concurrency intent specification in the form of temporal logic properties. A generic programming model, that subsumes task and data parallelism, has been wrought along with an automata-based formulation of the RV problem. Algorithms are implemented for the construction and minimization of automata checkers that can be executed concurrently with multithreaded applications to assert their correct functioning. The needed architectural supporting mechanisms and the ensuing design tradeoffs are investigated using an approximately-timed transaction-level model. The simulation model confirms scalability of the proposed RV approach to large multiprocessor systems. It also quantifies the increase in the number of processors needed to replenish the monitoring-induced performance degradation.
提出了一种基于显式功能/并发意图规范的分布式共享内存多处理器运行时验证(RV)框架,该框架以时间逻辑属性的形式呈现。包含任务和数据并行性的通用编程模型已经与基于自动机的RV问题公式一起形成。算法的实现是为了构造和最小化可以与多线程应用程序并发执行的自动检查器,以断言它们的正确功能。所需的体系结构支持机制和随后的设计权衡使用近似定时的事务级模型进行研究。仿真模型验证了RV方法在大型多处理器系统中的可扩展性。它还量化了弥补监视引起的性能下降所需的处理器数量的增加。
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引用次数: 0
Universal fused floating-point dot-product unit (UFDP) 通用融合浮点点积单元(UFDP)
Pub Date : 2013-12-01 DOI: 10.1109/IDT.2013.6727146
H. Saleh, B. Mohammad
A universal floating-point fused dot-product (UFDP) unit is presented that is capable of performing floating-point multiplication and addition or subtraction operations on two pairs of data, floating-point multiply add operation on three data items, floating-point multiplication of two data items and floating-point addition or subtraction of two data items. The proposed UFDP unit could be used as the only floating-point primitive a processor needs, where it easily can replace a floating-point adder, multiplier, fused multiply-add and a fused dot-product unit. Due to the dominance of multiply-add and dot-product operations in audio and video processing algorithms this unit can lead to substantial performance enhancement. The synthesis results using 32nm industry standard-cell library shows that the proposed architecture occupies an area of approximately twice a basic floating-point multiplier, can perform all operations in less 160% of a basic floating-point operation and consumes 80% more than a basic floating-point multiplier.
提出了一种通用浮点融合点积(UFDP)单元,能够对两对数据进行浮点乘法和加减运算,对三项数据进行浮点乘法和相加运算,对两项数据进行浮点乘法和对两项数据进行浮点加减运算。所提出的UFDP单元可以用作处理器所需的唯一浮点原语,它可以很容易地取代浮点加法器、乘法器、融合乘加和融合点积单元。由于乘加和点积运算在音频和视频处理算法中占主导地位,该单元可以大大提高性能。使用32nm工业标准单元库的合成结果表明,该架构占用的面积约为基本浮点乘法器的两倍,可以在不到基本浮点运算的160%的时间内完成所有运算,并且比基本浮点乘法器多消耗80%。
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引用次数: 1
A multi-scale analysis and compressive sensing based energy aware fall detection system 基于多尺度分析和压缩感知的能量感知跌落检测系统
Pub Date : 2013-12-01 DOI: 10.1109/IDT.2013.6727125
M. Neggazi, L. Hamami, A. Amira
In this paper, an energy aware real-time wireless fall detection system based on the multi-scale analysis is proposed. Furthermore, an efficient feature extraction and compression algorithm for high accuracy fall recognition is presented. The proposed algorithm is carried out on the low-power Shimmer sensing platform. The developed method aims to reduce the amount of 3D acceleration data for energy efficiency improvement of the energy-hungry wireless links. Interestingly, our results show an average power consumption of less than 60% on the Shimmer Bluetooth link. In addition, the average of the 3D acceleration data rate savings is about 87.5%. Moreover, the proposed energy-aware fall detection system has been proven to distinguish among falls and activities of daily living, and the accuracy has been evaluated in terms of specificity and sensitivity and has shown excellent results. The sparsity degree for an efficient representation of 3D acceleration signal and high fall detection accuracy rate is also studied. The percent error between the original and reconstruted 3D acceleration signal of 7% after applying compressive sensing would yield a space savings of 56%, for a sparsity S=77 and signal length N=512.
本文提出了一种基于多尺度分析的能量感知实时无线跌倒检测系统。在此基础上,提出了一种高效的特征提取和压缩算法,用于高精度的跌落识别。该算法在低功耗微光传感平台上实现。所开发的方法旨在减少3D加速数据量,以提高高能耗无线链路的能效。有趣的是,我们的结果显示,微光蓝牙链路的平均功耗低于60%。此外,3D加速数据率的平均节省约为87.5%。此外,所提出的能量感知跌倒检测系统已被证明能够区分跌倒和日常生活活动,并从特异性和敏感性两方面对其准确性进行了评估,并显示出良好的效果。研究了稀疏度对三维加速度信号的有效表示和高跌落检测准确率的影响。在稀疏度S=77、信号长度N=512的情况下,应用压缩感知后,原始和重建的3D加速度信号之间的误差为7%,可以节省56%的空间。
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引用次数: 3
Memristor for energy efficient wireless sensor node 用于节能无线传感器节点的忆阻器
Pub Date : 2013-12-01 DOI: 10.1109/IDT.2013.6727141
Y. Halawani, B. Mohammad, Dirar Humouz, M. Al-Qutayri, H. Saleh
Wireless sensor nodes (WSN) are used extensively to monitor a wide range of physical and environmental parameters. Data acquisition, processing, storage and transmission are mandatory requirements for different applications. These nodes are expected to generate a correct representation of the sensed quantities, which is then used to make various decisions and control actions. This means that the node requires more memory capabilities to store data either temporary or permanently. The collected data can then be used. As the monitoring device of WSN is increasingly mobile, the need for efficient power management (PM) techniques is becoming crucial in order to extend the lifetime of the battery-powered device. Energy is a critical performance metric in WSNs. Challenges facing WSN designers range from computational energy, energy consumption, energy source, communication channels, etc. A new emerging memory technology like memristor provides a good candidate for WSN PM. Memristor non-volatility features coupled with small size and low energy operation provide a normally-off instant-on mode of operation for the WSN; this will minimize the loss of energy to leakage power. The paper gives an insight about using memristor in a PM scheme at the system level.
无线传感器节点(WSN)广泛用于监测各种物理和环境参数。数据的采集、处理、存储和传输是不同应用的强制性要求。这些节点被期望生成感测数量的正确表示,然后用于做出各种决策和控制动作。这意味着节点需要更多的内存能力来存储临时或永久的数据。然后可以使用收集到的数据。随着无线传感器网络监控设备的移动性越来越强,为了延长电池供电设备的使用寿命,对高效电源管理(PM)技术的需求变得至关重要。能量是无线传感器网络的关键性能指标。WSN设计者面临的挑战包括计算能耗、能耗、能源、通信渠道等。忆阻器等新兴的存储技术为无线传感器网络的PM提供了一个很好的选择。忆阻器的非易失性特点,加上小尺寸和低能量的工作,为WSN提供了正常关闭的瞬时工作模式;这将最大限度地减少泄漏电源的能量损失。本文给出了在系统级的PM方案中使用忆阻器的见解。
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引用次数: 1
NOC synthesis vs ITRS predictions: The challenges of linear programming based synthesis NOC合成与ITRS预测:基于线性规划的合成的挑战
Pub Date : 2013-12-01 DOI: 10.1109/IDT.2013.6727135
O. Hammami
Network on chip are fundamental in the performance of complex system on chip. Numerous solutions have been proposed both for regular and irregular topologies. Irregular or custom topologies present numerous benefits with regard to area/performance optimizations and can be automatically generated through NOC synthesis flows. NOC synthesis generates NOC topologies from application requirements coregraphs. NOC synthesis techniques use either exact or heuristic techniques. So far NOC synthesis techniques have not been benchmarked against ITRS roadmaps. We propose in this paper to benchmark linear programming based NOC synthesis techniques using NOCBENCH v.1.0 benchmarks. The results show that new models and techniques are needed to overcome complexity of future manycore.
片上网络是复杂片上系统性能的基础。对于规则拓扑和不规则拓扑,已经提出了许多解决方案。不规则或自定义拓扑在面积/性能优化方面具有许多优势,并且可以通过NOC合成流自动生成。NOC综合从应用程序需求图生成NOC拓扑。NOC合成技术要么使用精确技术,要么使用启发式技术。到目前为止,NOC合成技术还没有根据ITRS路线图进行基准测试。在本文中,我们建议使用NOCBENCH v.1.0基准测试基于NOC综合技术的线性规划。结果表明,要克服未来多核系统的复杂性,需要新的模型和技术。
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引用次数: 0
On the evaluation of soft-errors detection techniques for GPGPUs gpgpu软误差检测技术评价
Pub Date : 2013-12-01 DOI: 10.1109/IDT.2013.6727092
D. Sabena, M. Reorda, L. Sterpone, P. Rech, L. Carro
Recently, General Purpose Graphic Processing Units (GPGPUs) have begun to be preferred to CPUs for several computationally intensive applications, not necessarily related to computer graphics. However, due to their complexity GPGPUs also show a relatively high sensitivity to soft errors. Hence, there is some interest in devising and applying software techniques able to exploit their computational power by just acting on the executed code. In this paper we report some preliminary results obtained by applying two different software redundancy techniques aimed at soft-error detection; these techniques are completely algorithm independent, and have been applied on a sample application running on a Commercial-Off-The-Shelf GPGPU. The results have been gathered resorting to a neutron testing campaign. Some experimental results, explaining the capabilities of the methods, are presented and commented.
最近,通用图形处理单元(General Purpose Graphic Processing unit, gpgpu)已经开始在一些计算密集型的应用中比cpu更受青睐,这些应用不一定与计算机图形学相关。然而,由于其复杂性,gpgpu对软误差也表现出相对较高的敏感性。因此,人们对设计和应用软件技术很感兴趣,这些软件技术能够通过仅作用于已执行的代码来利用它们的计算能力。本文报告了采用两种不同的软件冗余技术进行软错误检测的初步结果;这些技术是完全独立于算法的,并已应用于运行在商用现成GPGPU上的示例应用程序。结果是通过中子测试活动收集的。给出了一些实验结果,说明了该方法的能力,并对其进行了评论。
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引用次数: 20
BTI impact on SRAM sense amplifier BTI对SRAM感测放大器的影响
Pub Date : 2013-12-01 DOI: 10.1109/IDT.2013.6727094
I. Agbo, Seyab Khan, S. Hamdioui
Bias Temperature Instability (BTI) - Negative BTI in PMOS and Positive BTI in NMOS transistors-has become a key reliability bottleneck in the nano-scaled era. This paper presents BTI impact on SRAM's sense amplifier of different technologies, a robust sense amplifier has a lower sensing delay and higher sensing voltage. The results show that as technology scales down (i.e., from 90nm to 65nm, and 45nm), BTI impact on sensing delay increases, while that on the sensing voltage decreases, causing the sense amplifier memory, hence to be less robust and reliable. In addition, the paper also investigate the use of supply voltage to reduce the BTI degradation. The result show that increasing the power supply can reduce the sense amplifier BTI degradadtion with 33% for sensing voltage and with 18% for sensing delay; leading to clear tradeoff engineering question between power and robustness.
偏置温度不稳定性(BTI) - PMOS晶体管的负BTI和NMOS晶体管的正BTI -已成为纳米尺度时代可靠性的关键瓶颈。本文介绍了不同技术对SRAM检测放大器的影响,鲁棒的检测放大器具有较低的检测延迟和较高的检测电压。结果表明,随着技术的缩小(即从90nm到65nm和45nm), BTI对传感延迟的影响增大,而对传感电压的影响减小,导致传感放大器内存的鲁棒性和可靠性降低。此外,本文还研究了利用电源电压降低BTI退化的方法。结果表明,增加电源可使传感放大器的BTI退化降低33%,对传感电压和传感延迟的影响分别降低18%;导致在功率和鲁棒性之间明确的权衡工程问题。
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引用次数: 15
Evaluation of the angle of arrival based techniques 基于到达角技术的评价
Pub Date : 2013-12-01 DOI: 10.1109/IDT.2013.6727085
R. Asif, M. Usman, T. Ghazaany, A. Hussaini, R. Abd‐Alhameed, S. R. Jones, J. Noras, Jonathan Rodriguez
In this work we present the angle of arrival estimation techniques and their comparison at different values of SNR using a 5 element UCA. The techniques that have been considered include phase interferometry, Multiple Signal Classification and covariance. The results show that for very low values of SNR the performance of the covariance matrix based algorithm is the best but for slightly higher values of SNR, MUSIC algorithm outperforms covariance.
在这项工作中,我们提出了到达角估计技术及其在不同信噪比值下使用5元UCA的比较。已经考虑的技术包括相位干涉,多信号分类和协方差。结果表明,当信噪比较低时,基于协方差矩阵的算法性能最好,而当信噪比稍高时,MUSIC算法优于协方差算法。
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引用次数: 1
An efficient BER-based reliability method for SRAM-based FPGA 一种高效的基于ber的sram FPGA可靠性方法
Pub Date : 2013-12-01 DOI: 10.1109/IDT.2013.6727129
F. Sahraoui, Ghaffari Fakhreddine, M. A. Benkhelifa, B. Granado
Single Event Upset (SEU) is a major concern for SRAM-based FPGAs where a simple bit-flip can lead to an abnormal execution. We present in this paper, a new fault tolerance method based on hardware BER (Backward Error Recovery) to protect/correct system against the occurrence of transient faults. We use the partial dynamic reconfiguration offered by Xilinx Virtex-5 FPGAs to ensure hardware checkpoint and upon detection of fault we use recovery. Our method has several advantages: first it is non-intrusive (no internal modification of hardware modules of the system), second it is not based on redundant hardware resources (like most methods in the literature), and finally it has a static area overhead ratio when applied to a system. To validate our approach, we implemented it on a Xilinx platform based on a Partial Reconfigurable Region (PRR).
单事件干扰(SEU)是基于sram的fpga的一个主要问题,其中一个简单的位翻转可能导致异常执行。本文提出了一种新的基于硬件后向错误恢复的容错方法,以保护/纠正系统对瞬态故障的发生。我们使用Xilinx Virtex-5 fpga提供的局部动态重新配置来确保硬件检查点,并在检测到故障后使用恢复。我们的方法有几个优点:首先,它是非侵入性的(不需要对系统的硬件模块进行内部修改),其次,它不需要冗余的硬件资源(像文献中的大多数方法一样),最后,它在应用于系统时具有静态的面积开销比。为了验证我们的方法,我们在基于部分可重构区域(Partial Reconfigurable Region, PRR)的Xilinx平台上实现了它。
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引用次数: 5
期刊
2013 8th IEEE Design and Test Symposium
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