scholarly journals Multi-frequency Data Parallel Spin Wave Logic Gates

2021 ◽  
Author(s):  
Abdulqader Mahmoud ◽  
Frederic Vanderveken ◽  
Christoph Adelmann ◽  
Florin Ciubotaru ◽  
Said Hamdioui ◽  
...  
Keyword(s):  
Power Consumption ◽  
Spin Wave ◽  
Logic Gates ◽  
Data Sets ◽  
The Road ◽  
Data Parallel ◽  
Multifrequency Operation ◽  
Parallel Data ◽  
Delay Increase ◽  
Practical Implications

By their very nature, Spin Waves (SWs) with different frequencies can propagate through the same waveguide without affecting each other, while only interfering with their own species. Therefore, more SW encoded data sets can coexist, propagate, and interact in parallel, which opens the road towards hardware replication free parallel data processing. In this paper, we take advantage of these features and propose a novel data parallel spin wave based computing approach. To explain and validate the proposed concept, byte-wide 2-input XOR and 3-input Majority gates are implemented and validated by means of Object Oriented MicroMagnetic Framework (OOMMF) simulations. Furthermore, we introduce an optimization algorithm meant to minimize the area overhead associated with multifrequency operation and demonstrate that it diminishes the byte-wide gate area by 30% and 41% for XOR and Majority implementations, respectively. To get inside on the practical implications of our proposal we compare the byte-wide gates with conventional functionally equivalent scalar SW gate based implementations in terms of area, delay, and power consumption. Our results indicate that the area optimized 8-bit 2-input XOR and 3-input Majority gates require 4.47x and 4.16x less area, respectively, at the expense of 5% and 7% delay increase, respectively, without inducing any power consumption overhead. Finally, we discuss factors that are limiting the currently achievable parallelism to 8 for phase based gate output detection and demonstrate by means of OOMMF simulations that this can be increased 16 for threshold based detection based gates.

scholarly journals Multi-frequency Data Parallel Spin Wave Logic Gates

2021 ◽  
Author(s):  
Abdulqader Mahmoud ◽  
Frederic Vanderveken ◽  
Christoph Adelmann ◽  
Florin Ciubotaru ◽  
Said Hamdioui ◽  
...  
Keyword(s):  
Power Consumption ◽  
Spin Wave ◽  
Logic Gates ◽  
Data Sets ◽  
The Road ◽  
Data Parallel ◽  
Multifrequency Operation ◽  
Parallel Data ◽  
Delay Increase ◽  
Practical Implications

By their very nature, Spin Waves (SWs) with different frequencies can propagate through the same waveguide without affecting each other, while only interfering with their own species. Therefore, more SW encoded data sets can coexist, propagate, and interact in parallel, which opens the road towards hardware replication free parallel data processing. In this paper, we take advantage of these features and propose a novel data parallel spin wave based computing approach. To explain and validate the proposed concept, byte-wide 2-input XOR and 3-input Majority gates are implemented and validated by means of Object Oriented MicroMagnetic Framework (OOMMF) simulations. Furthermore, we introduce an optimization algorithm meant to minimize the area overhead associated with multifrequency operation and demonstrate that it diminishes the byte-wide gate area by 30% and 41% for XOR and Majority implementations, respectively. To get inside on the practical implications of our proposal we compare the byte-wide gates with conventional functionally equivalent scalar SW gate based implementations in terms of area, delay, and power consumption. Our results indicate that the area optimized 8-bit 2-input XOR and 3-input Majority gates require 4.47x and 4.16x less area, respectively, at the expense of 5% and 7% delay increase, respectively, without inducing any power consumption overhead. Finally, we discuss factors that are limiting the currently achievable parallelism to 8 for phase based gate output detection and demonstrate by means of OOMMF simulations that this can be increased 16 for threshold based detection based gates.

scholarly journals Multi-frequency Data Parallel Spin Wave Logic Gates

2021 ◽  
pp. 1-1
Author(s):  
Abdulqader Nael Mahmoud ◽  
Frederic Vanderveken ◽  
Christoph Adelmann ◽  
Florin Ciubotaru ◽  
Said Hamdioui ◽  
...  
Keyword(s):  
Spin Wave ◽  
Logic Gates ◽  
Frequency Data ◽  
Data Parallel

scholarly journals n-bit Data Parallel Spin Wave Logic Gate

2021 ◽  
Author(s):  
Abdulqader Mahmoud ◽  
Frederic Vanderveken ◽  
Florin Ciubotaru ◽  
Christoph Adelmann ◽  
Sorin Cotofana ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Parallel Processing ◽  
Spin Wave ◽  
Potential Benefit ◽  
Input Data ◽  
Logic Gate ◽  
Object Oriented ◽  
Data Sets ◽  
Majority Gate ◽  
Data Parallel

Due to their very nature, Spin Waves (SWs) created in the same waveguide, but with different frequencies, can coexist while selectively interacting with their own species only. The absence of inter-frequency interferences isolates input data sets encoded in SWs with different frequencies and creates the premises for simultaneous data parallel SW based processing without hardware replication or delay overhead. In this paper we leverage this SW property by introducing a novel computation paradigm, which allows for the parallel processing of n-bit input data vectors on the same basic SW based logic gate. Subsequently, to demonstrate the proposed concept, we present 8-bit parallel 3-input Majority gate implementation and validate it by means of Object Oriented MicroMagnetic Framework (OOMMF) simulations. To evaluate the potential benefit of our proposal we compare the 8-bit data parallel gate with equivalent scalar SW gate based implementation. Our evaluation indicates that 8-bit data 3-input Majority gate implementation requires 4.16x less area than the scalar SW gate based equivalent counterpart while preserving the same delay and energy consumption figures.

scholarly journals n-bit Data Parallel Spin Wave Logic Gate

2021 ◽  
Author(s):  
Abdulqader Mahmoud ◽  
Frederic Vanderveken ◽  
Florin Ciubotaru ◽  
Christoph Adelmann ◽  
Sorin Cotofana ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Parallel Processing ◽  
Spin Wave ◽  
Potential Benefit ◽  
Input Data ◽  
Logic Gate ◽  
Object Oriented ◽  
Data Sets ◽  
Majority Gate ◽  
Data Parallel

Due to their very nature, Spin Waves (SWs) created in the same waveguide, but with different frequencies, can coexist while selectively interacting with their own species only. The absence of inter-frequency interferences isolates input data sets encoded in SWs with different frequencies and creates the premises for simultaneous data parallel SW based processing without hardware replication or delay overhead. In this paper we leverage this SW property by introducing a novel computation paradigm, which allows for the parallel processing of n-bit input data vectors on the same basic SW based logic gate. Subsequently, to demonstrate the proposed concept, we present 8-bit parallel 3-input Majority gate implementation and validate it by means of Object Oriented MicroMagnetic Framework (OOMMF) simulations. To evaluate the potential benefit of our proposal we compare the 8-bit data parallel gate with equivalent scalar SW gate based implementation. Our evaluation indicates that 8-bit data 3-input Majority gate implementation requires 4.16x less area than the scalar SW gate based equivalent counterpart while preserving the same delay and energy consumption figures.

scholarly journals Segment-Based Approach for Assessing Hazard Risk of Coastal Highways in Hawai‘i

2019 ◽  
Vol 2673 (1) ◽  
pp. 83-91 ◽  
Author(s):  
Harrison Togia ◽  
Oceana P. Francis ◽  
Karl Kim ◽  
Guohui Zhang
Keyword(s):  
Qualitative Method ◽  
Data Sets ◽  
Regional Environment ◽  
The Road ◽  
Hazard Exposure ◽  
Multiple Indicators ◽  
System Data ◽  
Rural Highway ◽  
Geographic Information System Data

Hazards to roadways and travelers can be drastically different because hazards are largely dependent on the regional environment and climate. This paper describes the development of a qualitative method for assessing infrastructure importance and hazard exposure for rural highway segments in Hawai‘i under different conditions. Multiple indicators of roadway importance are considered, including traffic volume, population served, accessibility, connectivity, reliability, land use, and roadway connection to critical infrastructures, such as hospitals and police stations. The method of evaluating roadway hazards and importance can be tailored to fit different regional hazard scenarios. It assimilates data from diverse sources to estimate risks of disruption. A case study for Highway HI83 in Hawai‘i, which is exposed to multiple hazards, is conducted. Weakening of the road by coastal erosion, inundation from sea level rise, and rockfall hazards require adaptation solutions. By analyzing the risk of disruption to highway segments, adaptation approaches can be prioritized. Using readily available geographic information system data sets for the exposure and impacts of potential hazards, this method could be adapted not only for emergency management but also for planning, design, and engineering of resilient highways.

scholarly journals A European-wide <sup>222</sup>Radon and <sup>222</sup>Radon progeny comparison study

2016 ◽  
Author(s):  
Dominik Schmithüsen ◽  
Scott Chambers ◽  
Bernd Fischer ◽  
Stefan Gilge ◽  
Juha Hatakka ◽  
...  
Keyword(s):  
Transport Model ◽  
Atmospheric Transport ◽  
Ground Level ◽  
Data Sets ◽  
Correction Factors ◽  
Comparison Study ◽  
Data Set ◽  
Parallel Data ◽  
Linear Regressions ◽  
Atmospheric Transport Model

Abstract. A European-wide 222Radon/222Radon progeny comparison study has been conducted in order to determine correction factors that could be applied to existing atmospheric 222Radon data sets for quantitative use of this tracer in atmospheric transport model validation. Two compact and easy-to-transport Heidelberg Radon Monitors (HRM) were moved around to run for at least one month at each of the nine European measurement stations that were included in the comparison. Linear regressions between parallel data sets were calculated, yielding correction factors relative to the HRM ranging from 0.68 to 1.45. A calibration bias between ANSTO (Australian Nuclear Science and Technology Organisation) two-filter radon monitors and the HRM of ANSTO/HRM = 1.11 ± 0.05 was found. For continental stations, which use one-filter systems, preliminary 214Po/222Rn disequilibrium values were estimated to lie between 0.8 at mountain stations (e.g. Schauinsland) and 0.9 at non-mountain sites for sampling heights around 20 to 30 m above ground level. Respective corrections need to be applied to obtain a consistent European 222Radon data set for further applications.

scholarly journals Interpreting the Data: Parallel Analysis with Sawzall

2005 ◽  
Vol 13 (4) ◽  
pp. 277-298 ◽  
Author(s):  
Rob Pike ◽  
Sean Dorward ◽  
Robert Griesemer ◽  
Sean Quinlan
Keyword(s):  
Programming Language ◽  
Regular Structure ◽  
Large Data ◽  
Large Data Sets ◽  
Data Sets ◽  
Data Parallel ◽  
Web Document ◽  
Distributed Computations ◽  
Procedural Programming ◽  
Two Phases

Very large data sets often have a flat but regular structure and span multiple disks and machines. Examples include telephone call records, network logs, and web document repositories. These large data sets are not amenable to study using traditional database techniques, if only because they can be too large to fit in a single relational database. On the other hand, many of the analyses done on them can be expressed using simple, easily distributed computations: filtering, aggregation, extraction of statistics, and so on. We present a system for automating such analyses. A filtering phase, in which a query is expressed using a new procedural programming language, emits data to an aggregation phase. Both phases are distributed over hundreds or even thousands of computers. The results are then collated and saved to a file. The design – including the separation into two phases, the form of the programming language, and the properties of the aggregators – exploits the parallelism inherent in having data and computation distributed across many machines.

Power–Delay-Error-Efficient Approximate Adder for Error-Resilient Applications

2019 ◽  
Vol 28 (10) ◽  
pp. 1950171 ◽  
Author(s):  
Vinay Kumar ◽  
Ankit Singh ◽  
Shubham Upadhyay ◽  
Binod Kumar
Keyword(s):  
Image Processing ◽  
Power Consumption ◽  
Logic Gate ◽  
Logic Gates ◽  
Error Tolerance ◽  
Approximate Computing ◽  
Processing Application ◽  
Error Resilient ◽  
Delay Performance ◽  
Prime Concern

Power dissipation has been the prime concern for CMOS circuits. Approximate computing is a potential solution for addressing this concern as it reduces power consumption resulting in improved performance in terms of power–delay product (PDP). Decrease of power consumption in approximate computing is achieved by approximating the demand of accuracy as per the error tolerance of the system. This paper presents a new approach for designing approximate adder by introducing inexactness in the existing logic gate(s). Approximated logic gates provide flexibility in designing low power error-resilient systems depending on the error tolerance of the applications such as image processing and data mining. The proposed approximate adder (PAA) has higher accuracy than existing approximate adders with normalized mean error distance of 0.123 and 0.1256 for 16-bit and 32-bit adder, respectively, and lower PDP of 1.924E[Formula: see text]18[Formula: see text]J for 16-bit adder and 5.808E[Formula: see text]18[Formula: see text]J for 32-bit adder. The PAA also performs better than some of the recent approximate adders reported in literature in terms of layout area and delay. Performance of PAA has also been evaluated with an image processing application.

scholarly journals An Ingenious Design of a High Performance-Low Complexity Image Compressor for Wireless Capsule Endoscopy

Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1617
Author(s):  
Ioannis Intzes ◽  
Hongying Meng ◽  
John Cosmas
Keyword(s):  
Power Consumption ◽  
Capsule Endoscopy ◽  
State Of The Art ◽  
Logic Gates ◽  
Low Complexity ◽  
Gastrointestinal Diseases ◽  
Wireless Capsule Endoscopy ◽  
Huffman Coding ◽  
Medical Diagnoses ◽  
Wireless Capsule

Wireless Capsule Endoscopy is a state-of-the-art technology for medical diagnoses of gastrointestinal diseases. The amount of data produced by an endoscopic capsule camera is huge. These vast amounts of data are not practical to be saved internally due to power consumption and the available size. So, this data must be transmitted wirelessly outside the human body for further processing. The data should be compressed and transmitted efficiently in the domain of power consumption. In this paper, a new approach in the design and implementation of a low complexity, multiplier-less compression algorithm is proposed. Statistical analysis of capsule endoscopy images improved the performance of traditional lossless techniques, like Huffman coding and DPCM coding. Furthermore the Huffman implementation based on simple logic gates and without the use of memory tables increases more the speed and reduce the power consumption of the proposed system. Further analysis and comparison with existing state-of-the-art methods proved that the proposed method has better performance.

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