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2019 International SoC Design Conference (ISOCC)最新文献

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Zero-Degree TL Based Dual-Band Wilkinson Power Divider for Multi-Band Wireless Applications 基于零度TL的多波段无线应用双频威尔金森功率分配器
Pub Date : 2019-10-06 DOI: 10.1109/ISOCC47750.2019.9078518
Fu‐Xing Liu, Xiao-Yu Zhang, C. Quan, Jong‐Chul Lee
In this paper, a new dual-band Wilkinson power divider (PD) featuring simple structure, miniaturized size, and high design flexibility is presented, whose function is mainly realized by a novel dual-band biasing network (DBN). Compared to the conventional one, the half-wavelength transmission lines (TLs) are replaced by zero-degree composite right- and lefthanded (CRLH) TLs, which configuration results in a compact size, and high design flexibility that different with the previous CRLH-TL based dual-band studies, the impedance of the utilized CRLH-TL can be freely selected. Meanwhile, closed-form design equations are derived and can be mathematically utilized to introduce a large number of passbands. For demonstration, a dual-band Wilkinson PD centered at 1.90 GHz and 2.45 GHz is designed and fabricated. It is worth noting that the two frequencies are chosen so that the first frequency is for LTE mobile communication, while the other band is for wireless fidelity (WIFI), Bluetooth, etc. Good agreement between the theoretical and experimental results can be observed. Besides the low in-band insertion loss and full-ports matching properties, the proposed PD also features a good out-of-band rejection performance.
本文提出了一种结构简单、体积小型化、设计灵活性高的新型双频威尔金森功率分配器,其功能主要通过一种新型双频偏置网络(DBN)实现。与传统的半波长传输线相比,用零度左右复合传输线(CRLH)代替了半波长传输线,其结构紧凑,设计灵活性高,不同于以往基于CRLH- tl的双频研究,所利用的CRLH- tl阻抗可以自由选择。同时,导出了封闭形式的设计方程,可以在数学上用于引入大量的通带。为了演示,设计并制作了以1.90 GHz和2.45 GHz为中心的双频威尔金森PD。值得注意的是,选择这两个频率是为了使第一个频率用于LTE移动通信,而另一个频段用于无线保真(WIFI),蓝牙等。理论与实验结果吻合较好。该器件除了具有低带内插入损耗和全端口匹配特性外,还具有良好的带外抑制性能。
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引用次数: 0
Tunable Compact Probing Detector with Fast Analysis Time Against Invasive Attacks 具有快速分析时间的可调紧凑型探测探测器
Pub Date : 2019-10-06 DOI: 10.1109/ISOCC47750.2019.9078494
Young-woo Lee, Youngkwang Lee, Minho Moon, Sungho Kang
The security-related information can be easily leaked by the invasive attacks including micro-probing, which can be potential threats. To prevent the targeted critical information from being leaked by the probe attempt, the secure shield as a protective layer is used on the topmost metal layer. The countermeasure method for detecting the micro-probing is usually conducted by comparing the timing asymmetries between two identical wires, which caused by the capacitance of the attached probe, and its hardware overhead and analysis time are linearly proportional to the increment of the number of wires to protect. In this paper, we propose a compact probing detector with fast analysis time against invasive attacks. The proposed method can also provide the tunable detection capability by adjusting the minimum detectable capacitance in order to counteract the latest available probes which can support the lower input capacitance.
包括微探测在内的侵入性攻击很容易泄露安全信息,构成潜在威胁。为了防止目标关键信息被探测企图泄露,在最上层的金属层上使用了安全屏蔽层作为保护层。检测微探针的对策方法通常是通过比较两根相同导线之间的时序不对称性来进行的,这种不对称性是由所附探头的电容引起的,其硬件开销和分析时间与要保护导线数量的增加成线性比例。本文提出了一种紧凑的探测检测器,具有快速分析入侵攻击的能力。该方法还可以通过调整最小可检测电容来提供可调的检测能力,以抵消支持较低输入电容的最新可用探头。
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引用次数: 1
Counter-based Eye-open Monitoring System Design for High-speed Serial Interface 基于计数器的高速串行接口睁眼监测系统设计
Pub Date : 2019-10-06 DOI: 10.1109/ISOCC47750.2019.9078519
Kyung-Sub Son, Namyong Kim, Jin-Ku Kang
Abstract— An eye-open monitoring system based on signal counting is introduced. Data is sampled 2048 times and "0" or "1" is counted to determine eye-opening at each sampling point. The FPGA stores the counter value and outputs the estimated eye-diagram. Through the estimated eye-opening information, the eye calculates the open area and the optimal sampling point. The size and phase of the sampling point are controlled by 5-bit, respectively. The proposed eye-open monitor was fabricated through a 180-nm CMOS process and consumes 86mW at a 2Gb/s data rate, 1.8V supply.
摘要:介绍了一种基于信号计数的睁眼监测系统。数据采样2048次,计数“0”或“1”,以确定每个采样点的眼界。FPGA存储计数器值并输出估计的眼图。通过估计的睁眼信息,眼睛计算睁眼面积和最优采样点。采样点的大小和相位分别由5位控制。该监视器采用180nm CMOS工艺制造,功耗为86mW,数据速率为2Gb/s,电源电压为1.8V。
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引用次数: 0
Load Independent Parallel Resonant Inverter 负载无关并联谐振逆变器
Pub Date : 2019-10-06 DOI: 10.1109/ISOCC47750.2019.9078529
H. Sekiya, Y. Ozawa, Xiuqin Wei
This paper proposes a load-independent parallel resonant inverter. The proposed inverter can always maintain the constant-output voltage and the zero-current switching at turn-off instant against load variations. The fundamental characteristic was shown and confirmed from the experimental verifications.
提出了一种负载无关型并联谐振逆变器。该逆变器可以在负载变化时始终保持恒输出电压和关断瞬间零电流开关。并通过实验验证了其基本特性。
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引用次数: 3
Fast Multibit Decision Method for Successive-Cancellation List Polar Decoder 逐次消列极解码器的快速多比特判定方法
Pub Date : 2019-10-06 DOI: 10.1109/ISOCC47750.2019.9078465
Seo Lin Jeong, Seung Yong Kim, J. Bae, M. Sunwoo
SC and SCL are the decoding algorithms for polar codes that have the disadvantage of high latency due to serial operations. Several algorithms, such as Fast-SSC, multibit decision, have been proposed to improve the latency with additional circuits, however, areas become larger. This paper proposes an efficient multibit decision algorithm to improve latency based on the SCL algorithm. In addition, we propose the combined nodes that combine node types of the fast-SSC algorithm to increase area efficiency and reduce the number of decoding cycles.
SC和SCL是极性码的解码算法,由于串行操作而具有高延迟的缺点。一些算法,如Fast-SSC,多比特判决,已被提出,以改善延迟与额外的电路,然而,面积变得更大。本文在SCL算法的基础上,提出了一种有效的多比特决策算法来改善延迟。此外,我们还提出了结合快速ssc算法节点类型的组合节点,以提高区域效率并减少解码周期数。
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引用次数: 0
Design of multicycle path accelerator for neural network 神经网络多循环路径加速器的设计
Pub Date : 2019-10-06 DOI: 10.1109/ISOCC47750.2019.9078500
Cheol-Won Jo, Kwang-yeob Lee
In this paper, MAC computation, which is the most used operation in neural network computing, is accelerated by multicycle_path. When using a pipeline, we can not divide the operation into fixed delays. Thus, exiting pipelines determine the operating frequency with the lowest frequency. We proposed the method confirmed that confirmed that the operation frequency of the whole process is improved by using multicycle_path to divide the operation into a certain delay and to perform the operation. In this paper, the experiment was divided into SingleCycle, Conventional Multicycle, MultiCycle_Ex and MultiCycle_Slice. Conventional Multicycle achieved 2.23 times higher operating frequency than SingleCycle, but resource usage tripled. MultiCycle_Ex achieved a 2.67 times higher operating frequency while maintaining the resource usage of SingleCycle, and MultiCycle_Slice achieved operating frequency about 8.2 times higher than SingleCycle.
MAC计算是神经网络计算中最常用的运算,本文采用multicycle_path来加速MAC计算。当使用管道时,我们不能将操作划分为固定的延迟。因此,退出管道以最低频率确定工作频率。我们提出了一种验证方法,通过使用multicycle_path将操作划分为一定的延时并执行操作,验证了整个过程的操作频率得到了提高。本文的实验分为SingleCycle、Conventional Multicycle、MultiCycle_Ex和MultiCycle_Slice。传统多循环的工作频率是单循环的2.23倍,但资源占用却是单循环的3倍。在保持SingleCycle的资源利用率的情况下,MultiCycle_Ex实现了2.67倍的工作频率,MultiCycle_Slice实现了大约8.2倍的工作频率。
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引用次数: 0
An RRAM-based Analog Neuron Design for the Weighted Spiking Neural network 基于随机存储器的加权脉冲神经网络模拟神经元设计
Pub Date : 2019-10-06 DOI: 10.1109/ISOCC47750.2019.9078507
Chaeun Lee, Jaehyun Kim, Kiyoung Choi
Spiking neural networks (SNNs) are promising because they have the ability to represent signal strength information with a simple sequence of spikes having the same height. In this paper, we propose an RRAM-based analog neuron circuit for the weighted spiking neural network which is energy-efficient and hardware-friendly. We have designed the neuron circuit to show that the weighted spiking neural network can be implemented in analog and works properly.
尖峰神经网络(snn)很有前途,因为它们能够用具有相同高度的简单尖峰序列来表示信号强度信息。在本文中,我们提出了一种基于随机存储器的模拟神经元电路用于加权尖峰神经网络,该电路节能且硬件友好。我们设计的神经元电路表明,加权尖峰神经网络可以在模拟中实现,并且工作正常。
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引用次数: 0
NTX: A 260 Gflop/sW Streaming Accelerator for Oblivious Floating-Point Algorithms in 22 nm FD-SOI NTX:用于22nm FD-SOI的遗忘浮点算法的260 Gflop/sW流加速器
Pub Date : 2019-10-06 DOI: 10.1109/ISOCC47750.2019.9078495
Fabian Schuiki, Michael Schaffner, L. Benini
In this work we present the first complete design, silicon implementation and measurements in 22 nm FD-SOI of the Network Training Accelerator (NTX) architectural concept [1]. NTX is based on a newly designed partial carrysave "wide-inside" (300 bit) fused multiply-accumulate (FMAC) unit ensuring IEEE 754 compliance and a Root Mean Squared Error 1.7_lower than a conventional 32 bit FPU on long accumulations such as dot products and convolutions.
在这项工作中,我们提出了网络训练加速器(NTX)架构概念的第一个完整的设计、硅实现和22纳米FD-SOI的测量[1]。NTX基于新设计的部分载波保存“wide-inside”(300比特)融合乘法累积(FMAC)单元,确保符合IEEE 754标准,并且在长累积(如点积和卷积)上的根均方误差比传统的32位FPU低1.7 _0。
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引用次数: 0
Ring-LWE Based Face Encryption and Decryption System on a GPU 基于环lwe的GPU人脸加解密系统
Pub Date : 2019-10-06 DOI: 10.1109/ISOCC47750.2019.9078466
T. Tan, Yujin Hyun, Jisu Kim, D. Choi, Hanho Lee
This paper presents a novel method to implement ring learning with errors (ring-LWE) cryptography for video-based face encryption and decryption on a graphics processing unit (GPU). By conducting ring arithmetic operations in parallel on a GPU, the processing time of these operations is significantly reduced. Consequently, ring-LWE encryption and decryption operations are remarkably improved. The simulation results conducted on GPU and CPU platforms using CUDA C++ show that the ring-LWE based face encryption and decryption operations implemented on a GPU are approximately 100 times faster than that implemented on a CPU.
本文提出了一种在图形处理单元(GPU)上实现基于视频的人脸加解密的带误差环学习(ring- lwe)加密的新方法。通过在GPU上并行进行环形算术运算,可以显著减少这些运算的处理时间。因此,环lwe加密和解密操作得到了显著改善。利用CUDA c++在GPU和CPU平台上进行的仿真结果表明,基于环lwe的人脸加解密操作在GPU上实现的速度比在CPU上实现的速度快约100倍。
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引用次数: 5
Flexible Embedded AI System with High-speed Neuromorphic Controller 具有高速神经形态控制器的柔性嵌入式人工智能系统
Pub Date : 2019-10-06 DOI: 10.1109/ISOCC47750.2019.9078508
Young Hyun Yoon, S. Jang, Do Young Choi, Seung Eun Lee
In this paper, we propose a flexible embedded artificial intelligence (AI) system with high-speed neuromorphic controller. With the designed neuromorphic controller, the system receives data in high-speed and makes the neuro-processors to process the received data in parallel, efficiently. Also, the embedded system operates with the variable number of the neuro-processors that are available to apply in the various embedded systems. The neuromorphic controller was demonstrated with the field programmable gate array (FPGA) and we verified the feasibility of the entire system with the proposed controller.
本文提出了一种具有高速神经形态控制器的柔性嵌入式人工智能系统。通过设计的神经形态控制器,使系统能够高速接收数据,并使神经处理器能够并行、高效地处理接收到的数据。此外,嵌入式系统使用可用于各种嵌入式系统的可变数量的神经处理器进行操作。利用现场可编程门阵列(FPGA)对神经形态控制器进行了演示,并验证了整个系统的可行性。
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引用次数: 4
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2019 International SoC Design Conference (ISOCC)
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