Area efficiency PLL design using capacitance multiplication based on self-biased architecture

2011 ◽  
Author(s):  
Xu Meng ◽  
Lu Huang ◽  
Lan Chen ◽  
Fujiang Lin
Keyword(s):  
Area Efficiency

An Experimental Study on Body-Biasing Layout Style Focusing on Area Efficiency and Speed Controllability

2009 ◽  
Vol E92-C (2) ◽  
pp. 281-285 ◽  
Author(s):  
Koichi HAMAMOTO ◽  
Hiroshi FUKETA ◽  
Masanori HASHIMOTO ◽  
Yukio MITSUYAMA ◽  
Takao ONOYE
Keyword(s):  
Experimental Study ◽  
Area Efficiency ◽  
Body Biasing

scholarly journals High Area-Efficient Parallel Encoder with Compatible Architecture for 5G LDPC Codes

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 700
Author(s):  
Yufei Zhu ◽  
Zuocheng Xing ◽  
Zerun Li ◽  
Yang Zhang ◽  
Yifan Hu
Keyword(s):  
High Performance ◽  
Ldpc Codes ◽  
Low Complexity ◽  
Cmos Technology ◽  
Area Efficiency ◽  
Prior Art ◽  
New Radio ◽  
High Area ◽  
Significant Area ◽  
Area Efficient

This paper presents a novel parallel quasi-cyclic low-density parity-check (QC-LDPC) encoding algorithm with low complexity, which is compatible with the 5th generation (5G) new radio (NR). Basing on the algorithm, we propose a high area-efficient parallel encoder with compatible architecture. The proposed encoder has the advantages of parallel encoding and pipelined operations. Furthermore, it is designed as a configurable encoding structure, which is fully compatible with different base graphs of 5G LDPC. Thus, the encoder architecture has flexible adaptability for various 5G LDPC codes. The proposed encoder was synthesized in a 65 nm CMOS technology. According to the encoder architecture, we implemented nine encoders for distributed lifting sizes of two base graphs. The eperimental results show that the encoder has high performance and significant area-efficiency, which is better than related prior art. This work includes a whole set of encoding algorithm and the compatible encoders, which are fully compatible with different base graphs of 5G LDPC codes. Therefore, it has more flexible adaptability for various 5G application scenarios.

RiSA: A Reinforced Systolic Array for Depthwise Convolutions and Embedded Tensor Reshaping

2021 ◽  
Vol 20 (5s) ◽  
pp. 1-20
Author(s):  
Hyungmin Cho
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Language Processing ◽  
Systolic Array ◽  
Data Reuse ◽  
Systolic Arrays ◽  
High Data ◽  
Area Efficiency ◽  
High Area ◽  
Accelerator Design

Depthwise convolutions are widely used in convolutional neural networks (CNNs) targeting mobile and embedded systems. Depthwise convolution layers reduce the computation loads and the number of parameters compared to the conventional convolution layers. Many deep neural network (DNN) accelerators adopt an architecture that exploits the high data-reuse factor of DNN computations, such as a systolic array. However, depthwise convolutions have low data-reuse factor and under-utilize the processing elements (PEs) in systolic arrays. In this paper, we present a DNN accelerator design called RiSA, which provides a novel mechanism that boosts the PE utilization for depthwise convolutions on a systolic array with minimal overheads. In addition, the PEs in systolic arrays can be efficiently used only if the data items ( tensors ) are arranged in the desired layout. Typical DNN accelerators provide various types of PE interconnects or additional modules to flexibly rearrange the data items and manage data movements during DNN computations. RiSA provides a lightweight set of tensor management tasks within the PE array itself that eliminates the need for an additional module for tensor reshaping tasks. Using this embedded tensor reshaping, RiSA supports various DNN models, including convolutional neural networks and natural language processing models while maintaining a high area efficiency. Compared to Eyeriss v2, RiSA improves the area and energy efficiency for MobileNet-V1 inference by 1.91× and 1.31×, respectively.

Cu(In,Ga)Se2solar cell with 16.7% active-area efficiency achieved by sputtering from a quaternary target

2015 ◽  
Vol 212 (8) ◽  
pp. 1774-1778 ◽  
Author(s):  
Liangqi Ouyang ◽  
Daming Zhuang ◽  
Ming Zhao ◽  
Ning Zhang ◽  
Xiaolong Li ◽  
...  
Keyword(s):  
Active Area ◽  
Area Efficiency

A novel area-efficiency multi-finger GGnMOS with high ESD robustness

2015 ◽  
Vol 114 ◽  
pp. 131-134
Author(s):  
Chunwei Zhang ◽  
Siyang Liu ◽  
Weifeng Sun ◽  
Longxing Shi
Keyword(s):  
Area Efficiency

scholarly journals Comparison and display on small-scale maps and diagrams of the territorial resources of the largest countries of the World and their major cities

2020 ◽  
Vol 26 (1) ◽  
pp. 141-157
Author(s):  
Olga Markova ◽  
Valentina Maslennikova
Keyword(s):  
Sustainable Development ◽  
Agricultural Land ◽  
Arable Land ◽  
The State ◽  
Small Scale ◽  
World Heritage Sites ◽  
Heritage Sites ◽  
Area Efficiency ◽  
The World ◽  
Per Capita

The largest countries of the world are inevitably involved in various global processes, both natural and socio-economic. These countries have common features and characteristic differences in the state of their territorial resources; the study of these characteristics is of interest for the global prospects of sustainable development. A large territory provides a variety of natural conditions and resources for the country; however, not in all countries it is possible to effectively use them in the economy throughout the all country. An analysis of their territorial resources was carried out for the six largest countries of the world according to the following parameters: area, efficiency, environmental load on the territory of the country, number, density, forecast of population growth or decline for 2050, main agricultural land (arable land, pastures, the provision of the population, degradation and pollution of the soils), forest resources (including security per capita, share in the area of countries), fresh water resources (including per capita provision and availability), greenhouse gas emissions, including per capita, the proportion of mammals endangered, proportion of areas of preserved ecosystems. The data obtained was displayed on the maps; a common legend is built for them in tabular form. A number of other parameters of the state of territorial resources and the environment were also studied. In the process of research, the most important cities of these countries were also studied and diagrams showing their similarities and differences in a number of indicators were constructed: area, population and population density, time of foundation, climatic and landscape parameters, the presence of UNESCO World Heritage Sites, high-rise construction parameters. The developed methodology is effective for assessing a variety of data on territorial resources that can be used to build models of sustainable development of the largest countries and regions of the Earth.

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