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This paper describes a CMOS analogy voltage supper buffer designed to have extremely low static current Consumption as well as high current drive capability. A new technique is used to reduce the leakage power of class-AB CMOS buffer…

Other Computer Science · Computer Science 2014-04-25 Rakesh Gupta

This paper presents efficient algorithms, designed to leverage SIMD for performing Montgomery reductions and additions on integers larger than 512 bits. The existing algorithms encounter inefficiencies when parallelized using SIMD due to…

Cryptography and Security · Computer Science 2023-09-01 Pengchang Ren , Reiji Suda , Vorapong Suppakitpaisarn

In this paper, we investigate the multiple-input multiple-output (MIMO) transceiver design under an interesting power model named mixed power constraints. In the considered power model, several antenna subsets are constrained by sum power…

Information Theory · Computer Science 2015-08-25 Chengwen Xing , Zesong Fei , Yiqing Zhou , Zhengang Pan , Hualei Wang

Quantum-dot Cellular Automata (QCA) is one of the emerging nanotechnologies, promising alternative to CMOS technology due to faster speed, smaller size, lower power consumption, higher scale integration and higher switching frequency. Also,…

Emerging Technologies · Computer Science 2019-07-24 Moein Sarvaghad-Moghaddam , Ali A. Orouji

Both longitudinal and transverse coupling impedance for some critical components need to be measured for accelerator design. The twin wires method is widely used to measure longitudinal and transverse impedance on the bench. A mode error is…

Accelerator Physics · Physics 2014-10-14 Huang Liang-Sheng , Yoshiro Irie , Liu Yu-Dong , Wang Sheng

Existing binary Transformers are promising in edge deployment due to their compact model size, low computational complexity, and considerable inference accuracy. However, deploying binary Transformers faces challenges on prior processors…

Hardware Architecture · Computer Science 2024-07-16 Yuhao Ji , Chao Fang , Zhongfeng Wang

Low-power designs are a necessity with the increasing demand of portable devices which are battery operated. In many of such devices the operational speed is not as important as battery life. Logic-in-memory structures using nano-devices…

Emerging Technologies · Computer Science 2017-08-28 Fazel Sharifi , Z. M. Saifullah , Abdel-Hameed Badawy

This paper proposes a novel formulation of the tensor completion problem to impute missing entries of data represented by tensors. The formulation is introduced in terms of tensor train (TT) rank which can effectively capture global…

Numerical Analysis · Computer Science 2016-01-07 Ho N. Phien , Hoang D. Tuan , Johann A. Bengua , Minh N. Do

This study presents the implementation of an all-optical binary logic half adder by employing triple core photonic crystal fiber (TPCF). The noteworthy feature of the present investigation is that an identical set of TPCF schemes, which…

Optics · Physics 2021-06-30 Uthayakumar T , Vasantha Jayakantha Raja R

In the recent years, reversible logic has emerged as a promising technology having its applications in low power CMOS, quantum computing, nanotechnology, and optical computing. The classical set of gates such as AND, OR, and EXOR are not…

Hardware Architecture · Computer Science 2007-05-23 Himanshu Thapliyal , M. B Srinivas

Strain engineering has recently been explored to improve tunnel field-effect transistors (TFETs). Here, we report design and performance of strained ultra-thin-body (UTB) III-V TFETs by quantum transport simulations. It is found that for an…

Mesoscale and Nanoscale Physics · Physics 2016-05-04 Jun Z. Huang , Yu Wang , Pengyu Long , Yaohua Tan , Michael Povolotskyi , Gerhard Klimeck

Achieving efficient execution of machine learning models has attracted significant attention recently. To generate tensor programs efficiently, a key component of DNN compilers is the cost model that can predict the performance of each…

Machine Learning · Computer Science 2022-01-19 Zhihe Zhao , Xian Shuai , Yang Bai , Neiwen Ling , Nan Guan , Zhenyu Yan , Guoliang Xing

Researchers and designers are facing problems with memory and power walls, considering the pervasiveness of Von-Neumann architecture in the design of processors and the problems caused by reducing the dimensions of deep sub-micron…

Emerging Technologies · Computer Science 2025-10-07 Seyed Erfan Fatemieh , Mohammad Reza Reshadinezhad

Now a day reversible logic is an attractive research area due to its low power consumption in the area of VLSI circuit design. The reversible logic gate is utilized to optimize power consumption by a feature of retrieving input logic from…

Hardware Architecture · Computer Science 2015-09-15 Neeraj Kumar Misra , Mukesh Kumar Kushwaha , Subodh Wairya , Amit Kumar

Composition of weighted transducers is a fundamental algorithm used in many applications, including for computing complex edit-distances between automata, or string kernels in machine learning, or to combine different components of a speech…

Computational Complexity · Computer Science 2008-02-22 Cyril Allauzen , Mehryar Mohri

An instrumentation amplifier (InAmp) is an electronic device used in many applications, where test and measuring accuracy is required. However, one of the drawbacks of an InAmp is limited operation gain range. In this paper, we investigate…

Emerging Technologies · Computer Science 2019-08-28 Ulzhan Bassembek , Olga Krestinskaya

Quantum addition circuits are considered being of two types: 1) Toffolli-adder circuits which use only classical reversible gates (CNOT and Toffoli), and 2) QFT-adder circuits based on the quantum Fourier transformation. We present the…

Quantum Physics · Physics 2022-11-09 Alexandru Paler

The features of the quasi-static analysis of multiconductor transmission lines by the method of moments are described. Comparison of their efficiency of methods for adaptive mesh refinement is carried out on the example of calculating…

Numerical Analysis · Mathematics 2021-05-26 A. E. Maksimov , S. P. Kuksenko

The requirement for large bulk resistivity in topological insulators has led to the design of complex ternary and quaternary phases with balanced donor and acceptor levels. A common feature of the optimized phases is that they lie close to…

Low-bit quantized neural networks are of great interest in practical applications because they significantly reduce the consumption of both memory and computational resources. Binary neural networks are memory and computationally efficient…

Machine Learning · Computer Science 2022-05-20 Anton Trusov , Elena Limonova , Dmitry Nikolaev , Vladimir V. Arlazarov
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