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2016 International SoC Design Conference (ISOCC)最新文献

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Single-flux-quantum cache memory architecture 单通量量子高速缓存存储器架构
Pub Date : 2016-12-27 DOI: 10.1109/ISOCC.2016.7799755
Koki Ishida, Masamitsu Tanaka, Takatsugu Ono, Koji Inoue
Single-flux-quantum (SFQ) logic is promising technology to realize an incredible microprocessor which operates over 100 GHz due to its ultra-fast-speed and ultra-low-power natures. Although previous work has demonstrated prototype of an SFQ microprocessor, the SFQ based L1 cache memory has not well optimized: a large access latency and strictly limited scalability. This paper proposes a novel SFQ cache architecture to support fast accesses. The sub-arrayed structure applied to the cache produces better scalability in terms of capacity. Evaluation results show that the proposed cache achieves 1.8X fast access speed.
单通量量子(SFQ)逻辑是一种很有前途的技术,可以实现超快速度和超低功耗的超100ghz微处理器。虽然以前的工作已经展示了SFQ微处理器的原型,但基于SFQ的L1高速缓存没有很好地优化:大的访问延迟和严格限制的可扩展性。本文提出了一种支持快速访问的SFQ缓存结构。应用于缓存的子阵列结构在容量方面产生更好的可伸缩性。评估结果表明,所提出的缓存实现了1.8倍的快速访问速度。
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引用次数: 7
An integrated optical parallel adder as a first step towards light speed data processing 集成光学并行加法器是迈向光速数据处理的第一步
Pub Date : 2016-12-27 DOI: 10.1109/ISOCC.2016.7799721
T. Ishihara, A. Shinya, Koji Inoue, K. Nozaki, M. Notomi
Integrated optical circuits with nanophotonic devices have attracted significant attention due to its low power dissipation and light-speed operation. With light interference and resonance phenomena, the nanophotonic device works as a voltage-controlled optical pass-gate like a pass-transistor. This paper first introduces a concept of the optical pass-gate logic, and then proposes a parallel adder circuit based on the optical pass-gate logic. Experimental results obtained with an optoelectronic circuit simulator show advantages of our optical parallel adder circuit over a traditional CMOS-based parallel adder circuit.
基于纳米光子器件的集成光电路以其低功耗和高速运行而备受关注。利用光干涉和共振现象,纳米光子器件像通晶体管一样作为电压控制的光通闸工作。本文首先介绍了光通门逻辑的概念,然后提出了一种基于光通门逻辑的并行加法器电路。在光电电路模拟器上的实验结果表明,我们的光学并行加法器电路比传统的基于cmos的并行加法器电路更有优势。
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引用次数: 8
Power-efficient partitioning and cluster generation design for application-specific Network-on-Chip 针对特定于应用程序的片上网络的节能分区和集群生成设计
Pub Date : 2016-12-27 DOI: 10.1109/ISOCC.2016.7799744
Jiayi Ma, Cong Hao, Wencan Zhang, T. Yoshimura
Network-on-Chip (NoC) is a promising solution for System-on-Chip (SoC) challenges. In this work, we present a Decompose and Cluster generation Refinement (DCR) algorithm to find minimum power consumption simultaneously. A two-stage method is proposed for decompose and cluster generation step to generate solutions with lower power. Refinement step explores optimal positions and adjusts clusters for selected solutions to find balanced point between power consumption and CPU time. Experimental results show that the proposed method outperforms the existing work.
片上网络(NoC)是解决片上系统(SoC)挑战的一个很有前途的解决方案。在这项工作中,我们提出了一种分解和聚类生成细化(DCR)算法来同时找到最小功耗。提出了一种分解和聚类生成两阶段的方法,以产生低功耗的解。优化步骤为选定的解决方案探索最佳位置并调整集群,以找到功耗和CPU时间之间的平衡点。实验结果表明,该方法优于已有的方法。
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引用次数: 2
Deep learning application trial to lung cancer diagnosis for medical sensor systems 深度学习在医疗传感器系统肺癌诊断中的应用试验
Pub Date : 2016-12-27 DOI: 10.1109/ISOCC.2016.7799852
Ryota Shimizu, S. Yanagawa, Yasutaka Monde, Hiroki Yamagishi, M. Hamada, Toru Shimizu, T. Kuroda
Personal and easy-to-use health checking system is an attractive application of sensor systems. Sensing data analysis for diagnosis is important as well as preparing small and mobile sensor nodes because sensing data include variations and noises reflecting individual difference of people and sensing conditions. Deep Neural Network, or Deep Learning, is a well-known method of machine learning and it is effective for feature extraction from pictures. Then, we thought Deep Learning also can extract features from sensing data. In this paper, we tried to build a diagnosis system of lung cancer based on Deep Learning. Input data of the system was generated from human urine by Gas Chromatography Mass Spectrometer (GC-MS) and our system achieved 90% accuracy in judging whether the patient had lung cancer or not. This system will be useful for pre- and personal diagnosis because collecting urine is very easy and not harmful to human body. We are targeting installation of this system not only to gas chromatography systems but also to some combination of multiple sensors for detecting gases of low concentration.
个性化、易于使用的健康检查系统是传感器系统的一个有吸引力的应用。对诊断进行传感数据分析以及准备小型移动传感器节点非常重要,因为传感数据包含反映人和传感条件个体差异的变化和噪声。深度神经网络或深度学习是一种众所周知的机器学习方法,对于从图像中提取特征是有效的。然后,我们认为深度学习也可以从传感数据中提取特征。在本文中,我们尝试构建一个基于深度学习的肺癌诊断系统。系统输入数据由人体尿液通过气相色谱质谱(GC-MS)生成,系统判断患者是否患有肺癌的准确率达到90%。该系统收集尿液非常方便,对人体无害,可用于前期和个人诊断。我们的目标是安装该系统不仅气相色谱系统,而且一些组合的多个传感器检测低浓度的气体。
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引用次数: 23
A programmable ΔΣ SAR-ADC with charge shuttling technique 具有电荷穿梭技术的可编程ΔΣ SAR-ADC
Pub Date : 2016-12-27 DOI: 10.1109/ISOCC.2016.7799703
Kohei Yamada, Yosuke Toyama, H. Ishikuro
This paper presents an ADC with programmability between SAR-only mode and delta-sigma (ΔΣ) assisted mode. The ΔΣ assisted mode brings 1st order noise shaping for resolution enhancement. Proposed charge shuttling technique makes it possible to share a charge re-distribution capacitor array for DAC in SAR, feedback DAC, and integrator capacitor in ΔΣ loop and improve the accuracy. The prototype ADC fabricated in 65-nm CMOS achieved SNDR of 44.35 dB at sampling rate of 32 MHz and power consumption of 0.55mW. The SNDR is improved to 62.9dB by ΔΣ assisted mode when the signal bandwidth is 60 kHz.
本文提出了一种可在sar模式和delta-sigma (ΔΣ)辅助模式之间进行编程的ADC。ΔΣ辅助模式带来一阶噪声整形以提高分辨率。所提出的电荷穿梭技术使得SAR中的DAC、反馈DAC和ΔΣ回路中的积分器电容器共用一个电荷再分配电容器阵列成为可能,提高了精度。采用65纳米CMOS制作的原型ADC在32 MHz采样率下的SNDR为44.35 dB,功耗为0.55mW。当信号带宽为60 kHz时,通过ΔΣ辅助方式将SNDR提高到62.9dB。
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引用次数: 1
A high-performance circuit design algorithm using data dependent approximation 基于数据相关近似的高性能电路设计算法
Pub Date : 2016-12-27 DOI: 10.1109/ISOCC.2016.7799750
Kazushi Kawamura, M. Yanagisawa, N. Togawa
This paper proposes a high-performance circuit design algorithm using input data dependent approximation. In our algorithm, STEPCs (Suspicious Timing Error Prediction Circuits) are utilized for identifying the paths to be optimized inside a circuit efficiently. Experimental results targeting a set of basic adders show that our algorithm can achieve performance increase by up to 11.1% within the error rate of 2.1% compared to a conventional design technique.
本文提出了一种基于输入数据相关近似的高性能电路设计算法。在我们的算法中,stepc(可疑时序误差预测电路)用于有效地识别电路内部需要优化的路径。针对一组基本加法器的实验结果表明,与传统设计技术相比,我们的算法在错误率为2.1%的情况下,性能提高了11.1%。
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引用次数: 0
Hash-table and balanced-tree based FIB architecture for CCN routers 基于哈希表和平衡树的CCN路由器FIB结构
Pub Date : 2016-12-27 DOI: 10.1109/ISOCC.2016.7799736
K. Shimazaki, Takashi Aoki, T. Hatano, Takuya Otsuka, A. Miyazaki, T. Tsuda, N. Togawa
Recently, content centric networking (CCN) attracts attention as a next generation network on which every router forwards a packet to another router and also functions as a server. A CCN router has a forwarding table called FIB (Forwarding Information Base) but its table look-up can become a bottleneck. In this paper, we propose FIB data structure for CCN routers which can reduce the number of comparisons in its look-up table. Our proposed FIB is composed of a bloom filter and a hash table and each hash entry is connected to a balanced binary-search tree. By using our FIB, the number of comparisons cannot much increase even if hash collisions occur. Experimental results demonstrate the effectiveness of the proposed FIB over the several existing methods.
最近,内容中心网络(content centric networking, CCN)作为下一代网络备受关注,在该网络上,每个路由器都可以将数据包转发给另一个路由器,同时还可以充当服务器。CCN路由器有一个称为FIB (forwarding Information Base)的转发表,但它的表查找可能成为瓶颈。本文提出了一种用于CCN路由器的FIB数据结构,它可以减少查找表中的比较次数。我们提出的FIB由一个布隆过滤器和一个哈希表组成,每个哈希表连接到一个平衡二叉搜索树。通过使用FIB,即使发生哈希冲突,比较的次数也不会增加太多。实验结果表明,该方法比现有的几种方法更有效。
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引用次数: 3
A flexible software defined radio-based UHF RFID reader based on the USRP and LabView 基于USRP和LabView的一种灵活的软件定义的基于无线电的UHF RFID读取器
Pub Date : 2016-10-25 DOI: 10.1109/ISOCC.2016.7799865
Yuechun Wang, K. Man, R. Maunder, Jinkyung Lee, Kyung Ki Kim
This paper presents a UHF RFID Reader designed for recognition and tracking in IoT domain. It is built by NI USRP software radio platform and NI LabVIEW with flexible physical/MAC layer parameters, which can be modified easily and monitored clearly from front panel of this Reader compared to commercial RFID Reader. Queried random number sequence from a commercial Tag can be detected within half meter using this UHF Reader. All designs of this Reader are based on EPC Gen-2 RFID protocol, any further research based on this Reader can be easily connected and tested with commercial Tags.
提出了一种用于物联网领域识别和跟踪的超高频RFID读写器。它是由NI USRP软件无线电平台和NI LabVIEW构建的,具有灵活的物理/MAC层参数,与商用RFID读写器相比,可以轻松修改和清晰地从前面板监控。从商业标签中查询的随机数序列可以在半米内使用该超高频阅读器进行检测。本读卡器的所有设计都基于EPC Gen-2 RFID协议,任何基于本读卡器的进一步研究都可以很容易地与商业标签连接和测试。
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引用次数: 2
A pipelined time stretching for high throughput counter-based time-to-digital converters 用于高吞吐量基于计数器的时间-数字转换器的流水线时间延伸
Pub Date : 2016-10-01 DOI: 10.1109/ISOCC.2016.7799706
Seongheon Shin, Hyung-Joun Yoo
This paper proposes a pipelined time stretching technique for high throughput counter-based time-to-digital converters (TDC). Time stretching technique is used to increase the resolution of counter-based TDCs, yet it carries an inherent weakness of having a long conversion time due to the stretching phase. Without significant increment of chip area, the proposed pipelined time stretching method is realized with addition of a time splitter, a switching circuit and a fine capacitor. Pipelining of sampling and stretching efficiently improves the conversion rate by 29% according to the simulation results with a TSMC 0.25μm CMOS process.
提出了一种用于高通量计数器型时间-数字转换器(TDC)的流水线时间扩展技术。时间拉伸技术用于提高基于计数器的tdc的分辨率,但由于拉伸阶段,它具有较长的转换时间的固有弱点。该方法在不增加芯片面积的前提下,通过增加分时器、开关电路和细电容实现了流水线式时间拉伸。采用台积电0.25μm CMOS工艺的仿真结果表明,采样和拉伸的流水线化有效地提高了29%的转化率。
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引用次数: 1
Robust optical fingerprint sensor to moisture fingerprints 强大的光学指纹传感器,湿指纹
Pub Date : 2016-10-01 DOI: 10.1109/ISOCC.2016.7799851
Young-Hyun Baek
We proposes a robust optical fingerprint sensor to moisture fingerprints. This sensor a new lens and prim design and optical-path change structure is proposed, which shows improvement of difference between a ridge and valley sensing image than typical fingerprint sensor. Simulations show that the optical fingerprint sensor an effective performance in the moisture ten-fingerprints and the result of NIST quality map.
提出了一种鲁棒的湿指纹光学传感器。该传感器采用了新的透镜和棱镜设计以及光路变化结构,与传统的指纹传感器相比,改善了脊谷图像之间的差异。仿真结果表明,该光学指纹传感器在湿指纹检测中具有良好的性能,并得到了NIST质量图的检测结果。
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引用次数: 3
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2016 International SoC Design Conference (ISOCC)
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