ACM Journal on Emerging Technologies in Computing Systems最新文献_第7页

A Novel Highly-Efficient Inexact Full Adder Cell for Motion and Edge Detection Systems of Image Processing in CNFET Technology 一种用于CNFET技术中图像处理运动和边缘检测系统的新型高效非精确全加法器单元

IF 2.2 4区计算机科学

ACM Journal on Emerging Technologies in Computing Systems Pub Date : 2022-10-27 DOI: https://dl.acm.org/doi/10.1145/3524061

Yavar Safaei Mehrabani, Samaneh Goldani Gigasari, Mohammad Mirzaei, Hamidreza Uoosefian

{"title":"A Novel Highly-Efficient Inexact Full Adder Cell for Motion and Edge Detection Systems of Image Processing in CNFET Technology","authors":"Yavar Safaei Mehrabani, Samaneh Goldani Gigasari, Mohammad Mirzaei, Hamidreza Uoosefian","doi":"https://dl.acm.org/doi/10.1145/3524061","DOIUrl":"https://doi.org/https://dl.acm.org/doi/10.1145/3524061","url":null,"abstract":"In this paper, a novel and highly efficient inexact Full Adder cell by exploiting two logic styles including conventional CMOS (C-COMS) and pass transistor logic (PTL) are presented. The so-called carbon nanotube field-effect transistor (CNFET) technology is used to implement circuits at the transistor level. To justify the efficiency of our design, extensive simulations are performed at the transistor level as well as application level. Transistor-level simulations which are carried out by the HSPICE 2008 tool, demonstrate at least 12% higher performance in terms of power-delay-area product (PDAP) of the proposed circuit compared to the latest designs. At the application level, by using the MATLAB tool, inexact Full Adders are employed in the structure of the ripple carry adder (RCA) that is applied in motion and edge detection algorithms. Computer simulation results confirm the appropriate quality of the output images in terms of the peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) criteria. At last, to make a compromise between hardware and application level parameters, the power-delay-area-1/PSNR product (PDAPP) and power-delay-area-1/SSIM product (PDASP) are considered as figures of merit. The proposed circuit shows remarkable improvement from the PDAPP and PDASP points of view compared to its counterparts.","PeriodicalId":50924,"journal":{"name":"ACM Journal on Emerging Technologies in Computing Systems","volume":"63 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138537929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SaARSP: An Architecture for Systolic-Array Acceleration of Recurrent Spiking Neural Networks 循环脉冲神经网络的收缩阵列加速体系结构

IF 2.2 4区计算机科学

ACM Journal on Emerging Technologies in Computing Systems Pub Date : 2022-10-26 DOI: https://dl.acm.org/doi/10.1145/3510854

Jeong-Jun Lee, Wenrui Zhang, Yuan Xie, Peng Li

{"title":"SaARSP: An Architecture for Systolic-Array Acceleration of Recurrent Spiking Neural Networks","authors":"Jeong-Jun Lee, Wenrui Zhang, Yuan Xie, Peng Li","doi":"https://dl.acm.org/doi/10.1145/3510854","DOIUrl":"https://doi.org/https://dl.acm.org/doi/10.1145/3510854","url":null,"abstract":"Spiking neural networks (SNNs) are brain-inspired event-driven models of computation with promising ultra-low energy dissipation. Rich network dynamics emergent in recurrent spiking neural networks (R-SNNs) can form temporally based memory, offering great potential in processing complex spatiotemporal data. However, recurrence in network connectivity produces tightly coupled data dependency in both space and time, rendering hardware acceleration of R-SNNs challenging. We present the first work to exploit spatiotemporal parallelisms to accelerate the R-SNN-based inference on systolic arrays using an architecture called SaARSP. We decouple the processing of feedforward synaptic connections from that of recurrent connections to allow for the exploitation of parallelisms across multiple time points. We propose a novel time window size optimization (TWSO) technique, to further explore the temporal granularity of the proposed decoupling in terms of optimal time window size and reconfiguration of the systolic array considering layer-dependent connectivity to boost performance. Stationary dataflow and time window size are jointly optimized to trade off between weight data reuse and movements of partial sums, the two bottlenecks in latency and energy dissipation of the accelerator. The proposed systolic-array architecture offers a unifying solution to an acceleration of both feedforward and recurrent SNNs, and delivers 4,000X EDP improvement on average for different R-SNN benchmarks over a conventional baseline.","PeriodicalId":50924,"journal":{"name":"ACM Journal on Emerging Technologies in Computing Systems","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138537965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Guest Editorial: Secure Radio-Frequency (RF)-Analog Electronics and Electromagnetics 嘉宾评论:安全射频(RF)-模拟电子学和电磁学

IF 2.2 4区计算机科学

ACM Journal on Emerging Technologies in Computing Systems Pub Date : 2022-10-25 DOI: https://dl.acm.org/doi/10.1145/3564261

Vanessa Chen, Mohammad AL Faruque, Fadi Kurdahi

引用次数: 0

A Survey on Memory-centric Computer Architectures 以内存为中心的计算机体系结构综述

IF 2.2 4区计算机科学

ACM Journal on Emerging Technologies in Computing Systems Pub Date : 2022-10-25 DOI: https://dl.acm.org/doi/10.1145/3544974

Anteneh Gebregiorgis, Hoang Anh Du Nguyen, Jintao Yu, Rajendra Bishnoi, Mottaqiallah Taouil, Francky Catthoor, Said Hamdioui

引用次数: 0

IF 2.2 4区计算机科学

ACM Journal on Emerging Technologies in Computing Systems Pub Date : 2022-10-20 DOI: 10.1145/3568957

Kazuki Monta, Lang Lin, Jimin Wen, Harsh Shrivastav, C. Chow, Hua Chen, J. Geada, Sreeja Chowdhury, Nitin Pundir, N. Chang, M. Nagata

{"title":"Silicon-correlated Simulation Methodology of EM Side-channel Leakage Analysis","authors":"Kazuki Monta, Lang Lin, Jimin Wen, Harsh Shrivastav, C. Chow, Hua Chen, J. Geada, Sreeja Chowdhury, Nitin Pundir, N. Chang, M. Nagata","doi":"10.1145/3568957","DOIUrl":"https://doi.org/10.1145/3568957","url":null,"abstract":"Cryptography hardware is vulnerable to side-channel (SC) attacks on power supply current flow and electromagnetic (EM) emission. This article proposes simulation-based power and EM side-channel leakage analysis (SCLA) techniques on a cryptographic integrated circuit (IC) chip in system level assembly. SCLA measures SC leakage metrics including T-score, SC leakage score, and the number of measurement traces to disclosure, leveraged by a secure system-on-chip design flow toward SC attack resiliency and SC leakage sign off. Power SCLA features the tracking of security sensitive registers within cryptographic logic paths and the automatic assignments of probe points on associated physical power nets. Power supply current traces are efficiently simulated for the large set of input payloads, with direct vector-based and vector-less random switching controls. EM SCLA evaluates magnetic fields created by every piece of metal wiring in metal stacks where power supply current of cryptographic processing flows. The EM emission and EM SCLA from the backside Si surface of an IC chip in flip-chip packaging are experimentally examined with a 0.13 μm test chip. The proposed simulation-based SCLA exhibits the SC leakage metrics of on-chip location and direction dependency as accurately as in the measurements.","PeriodicalId":50924,"journal":{"name":"ACM Journal on Emerging Technologies in Computing Systems","volume":"19 1","pages":"1 - 23"},"PeriodicalIF":2.2,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44722353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A Cost-Effective Built-In Self-Test Mechanism for Post-Manufacturing TSV Defects in 3D ICs 3D集成电路制造后TSV缺陷的低成本内置自检机制

IF 2.2 4区计算机科学

ACM Journal on Emerging Technologies in Computing Systems Pub Date : 2022-10-13 DOI: https://dl.acm.org/doi/10.1145/3517808

Dilip Kumar Maity, Surajit Kumar Roy, Chandan Giri

引用次数: 0

All-spin PUF: An Area-efficient and Reliable PUF Design with Signature Improvement for Spin-transfer Torque Magnetic Cell-based All-spin Circuits 全自旋PUF:基于自旋传递转矩磁池的全自旋电路的面积高效可靠PUF设计

IF 2.2 4区计算机科学

ACM Journal on Emerging Technologies in Computing Systems Pub Date : 2022-10-13 DOI: https://dl.acm.org/doi/10.1145/3517811

Kangwei Xu, Dongrong Zhang, Qiang Ren, Yuanqing Cheng, Patrick Girard

{"title":"All-spin PUF: An Area-efficient and Reliable PUF Design with Signature Improvement for Spin-transfer Torque Magnetic Cell-based All-spin Circuits","authors":"Kangwei Xu, Dongrong Zhang, Qiang Ren, Yuanqing Cheng, Patrick Girard","doi":"https://dl.acm.org/doi/10.1145/3517811","DOIUrl":"https://doi.org/https://dl.acm.org/doi/10.1145/3517811","url":null,"abstract":"Recently, spin-transfer torque magnetic cell (STT-mCell) has emerged as a promising spintronic device to be used in Computing-in-Memory (CIM) systems. However, it is challenging to guarantee the hardware security of STT-mCell-based all-spin circuits. In this work, we propose a novel Physical Unclonable Function (PUF) design for the STT-mCell-based all-spin circuit (All-Spin PUF) exploiting the unique manufacturing process variation (PV) on STT-mCell write latency. A methodology is used to select appropriate logic gates in the all-spin chip to generate a unique identification key. A linear feedback shift register (LFSR) initiates the All-Spin PUF and simultaneously generates a 64-bit signature at each clock cycle. Signature generation is stabilized using an automatic write-back technique. In addition, a masking scheme is applied for signature improvement. The uniqueness of the improved signature is 49.61%. With ± 20% supply voltage and 5°C to 105°C temperature variations, the All-Spin PUF shows a strong resiliency. In comparison with state-of-the-art PUFs, our approach can reduce hardware overhead effectively. Finally, the robustness of the All-Spin PUF against emerging modeling attacks is verified as well.","PeriodicalId":50924,"journal":{"name":"ACM Journal on Emerging Technologies in Computing Systems","volume":"1 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138537940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Security Assessment of Phase-Based Ranging Systems in a Multipath Environment 多路径环境下基于相位的测距系统安全评估

IF 2.2 4区计算机科学

ACM Journal on Emerging Technologies in Computing Systems Pub Date : 2022-10-13 DOI: https://dl.acm.org/doi/10.1145/3517809

Arslan Riaz, Dylan Nash, Jonathan Ngo, Chiraag Juvekar, Phillip Nadeau, Tao Yu, Rabia Tugce Yazicigil

引用次数: 0

Extreme Partial-Sum Quantization for Analog Computing-In-Memory Neural Network Accelerators 模拟内存计算神经网络加速器的极值部分和量化

IF 2.2 4区计算机科学

ACM Journal on Emerging Technologies in Computing Systems Pub Date : 2022-10-13 DOI: https://dl.acm.org/doi/10.1145/3528104

Yulhwa Kim, Hyungjun Kim, Jae-Joon Kim

{"title":"Extreme Partial-Sum Quantization for Analog Computing-In-Memory Neural Network Accelerators","authors":"Yulhwa Kim, Hyungjun Kim, Jae-Joon Kim","doi":"https://dl.acm.org/doi/10.1145/3528104","DOIUrl":"https://doi.org/https://dl.acm.org/doi/10.1145/3528104","url":null,"abstract":"In Analog Computing-in-Memory (CIM) neural network accelerators, analog-to-digital converters (ADCs) are required to convert the analog partial sums generated from a CIM array to digital values. The overhead from ADCs substantially degrades the energy efficiency of CIM accelerators so that previous works attempted to lower the ADC resolution considering the distribution of the partial sums. Despite the efforts, the required ADC resolution still remains relatively high. In this article, we propose the data-driven partial sum quantization scheme, which exhaustively searches for the optimal quantization range with little computational burden. We also report that analyzing the characteristics of the partial sum distributions at each layer gives an additional information to further reduce the ADC resolution compared to previous works that mostly used the characteristics of the partial sum distributions of the entire network. Based on the finer-level data-driven approach combined with retraining, we present a methodology for extreme partial-sum quantization. Experimental results show that the proposed method can reduce the ADC resolution to 2 to 3 bits for CIFAR-10 dataset, which is the smaller ADC bit resolution than any previous CIM-based NN accelerators.","PeriodicalId":50924,"journal":{"name":"ACM Journal on Emerging Technologies in Computing Systems","volume":"62 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138537961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Time-varying Metamaterial-enabled Directional Modulation Schemes for Physical Layer Security in Wireless Communication Links 无线通信链路物理层安全的时变超材料定向调制方案

IF 2.2 4区计算机科学

ACM Journal on Emerging Technologies in Computing Systems Pub Date : 2022-10-13 DOI: https://dl.acm.org/doi/10.1145/3513088

Alireza Nooraiepour, Shaghayegh Vosoughitabar, Chung-Tse Michael Wu, Waheed U. Bajwa, Narayan B. Mandayam

{"title":"Time-varying Metamaterial-enabled Directional Modulation Schemes for Physical Layer Security in Wireless Communication Links","authors":"Alireza Nooraiepour, Shaghayegh Vosoughitabar, Chung-Tse Michael Wu, Waheed U. Bajwa, Narayan B. Mandayam","doi":"https://dl.acm.org/doi/10.1145/3513088","DOIUrl":"https://doi.org/https://dl.acm.org/doi/10.1145/3513088","url":null,"abstract":"Novel transmission schemes, enabled by recent advances in the fields of metamaterial (MTM), leaky-wave antenna (LWA) and directional modulation (DM), are proposed for enhancing the physical layer (PHY) security. MTM-LWAs, which offer compact, integrated, and cost-effective alternatives to the classic phased-array architectures, are particularly of interest for emerging wireless communication systems including Internet-of-Things. The proposed secure schemes are devised to accomplish the functionalities of directional modulation (DM) transmitters for orthogonal frequency-division multiplexing (OFDM) and non-contiguous OFDM transmissions, while enjoying the implementation benefits of MTM-LWAs. Specifically, transmitter architectures based on the idea of time-modulated MTM-LWA have been put forth as a promising solution for PHY security for the first time. The PHY security for the proposed schemes are investigated from the point of view of both passive and active attacks where an adversary aims to decode secret information and feed spurious data to the legitimate receiver, respectively. Numerical simulations reveal that even when the adversary employs sophisticated state-of-the-art deep learning based attacks, the proposed transmission schemes are resistant to these attacks and reliably guarantee system security.","PeriodicalId":50924,"journal":{"name":"ACM Journal on Emerging Technologies in Computing Systems","volume":"24 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138537933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0