Local Interconnect Research Articles

Experimental and theoretical computational study of corrosion inhibitors in the cobalt bulk chemical mechanical polishing (CMP) process

Cobalt is a potential substitute for copper as local interconnects in sub-10 nm interconnects, the chemical mechanical polishing (CMP) of which is quite challenging due to the high chemical reactivity of Co. By using a combination of experiments and theoretical calculations, the optimum corrosion inhibitor of Co is identified and the corrosion inhibition mechanism of TTLYK on Co is further investigated. It investigates the effects of various corrosion inhibitors, including potassium oleate, dodecyl benzene sulphonic acid, octyl hydroxamic acid, and 2,2′-[[(methyl-1H-benzotriazol-1yl) methyl] imino] bis-ethanol (TTLYK) on Co through chemical mechanical polishing and static etching experiments. The results show that among various corrosion inhibitors, TTLYK presents the best corrosion inhibition effect. When the basic slurry contains 10 mM TTLYK, the corrosion inhibition efficiency could reach 96.23 %, the material removal rates of Co is 161.79 nm/min, the static etching rates is 0.85 nm/min, and the material removal selectivity ratio of Co and Ti is 39:1. The results fully meet the requirements of the Co bulk CMP process. It is revealed TTLYK could form a protective layer with a synergistic physical and chemical adsorption on Co, in which the chemical adsorption occurs through the formation of CoN bonds. The adsorption of TTLYK could decelerate the transformation of CoO and Co(OH)2 to Co3O4, and the as formed Co-TTLYK complex provides the main corrosion inhibition.

Hierarchies of stratigraphic discontinuity surfaces in siliciclastic, carbonate and mixed siliciclastic‐bioclastic tidalites: Implications for fluid migration in reservoir quality assessment

AbstractThe hierarchies of the stratigraphic discontinuity surfaces observed in ancient tidalites are qualitatively assessed, aiming to evaluate their role as possible preferential conduits for fluid migration. Three outcrop examples are presented from microtidal settings of southern Italy: (i) siliciclastic tidalites consisting of quartz‐rich cross‐stratified sandstones generated by strong two‐directional tidal currents flowing along a tidal strait; (ii) carbonate tidalites, which accumulated in a Cretaceous lagoon and tidal flat where peritidal cycles formed vertically‐stacked sequences of biopeloidal and fenestral packstones, wackestones and bindstones during repeated phases of Milankovitch‐scale sea‐level changes; (iii) mixed, siliciclastic‐bioclastic tidalites, deposited in a bay and recording offshore‐transition, to shoreface wave‐dominated and tide‐influenced environments. Observations made during this study suggest that fluid movement can be controlled by the presence of main bounding surfaces that occur at different dimensions, from large (hectometre)‐scale, to medium (decametre)‐scale, to smaller (metre)‐scales. These surfaces produced either by depositional or erosional processes, are characterised by different features and geometries in siliciclastic, carbonate and mixed siliciclastic‐bioclastic tidalites arguably revealing complex internal pathways for fluid flows. These results suggest that fluids propagating along the main discontinuities follow a dominant sub‐horizontal direction of propagation, associated with minor sub‐vertical movements, due to local internal surface geometries and interconnections and a general lack of fractures. This surface‐based approach to the study of fluid‐flow transmission within stratified rocks represents a conceptual attempt to predict fluid mobility and reservoir potential in tidalite‐bearing siliciclastic, carbonate and mixed reservoir rocks.

Local Interconnection Degradation of a Double-Sided Cooling SiC MOSFET Module Under Power Cycling

Local Interconnection Degradation of a Double-Sided Cooling SiC MOSFET Module Under Power Cycling

Multi-Objective Optimization for Rapid Identification of Novel Compound Metals for Interconnect Applications.

Interconnect materials play the critical role of routing energy and information in integrated circuits. However, established bulk conductors, such as copper, perform poorly when scaled down beyond 10 nm, limiting the scalability of logic devices. Here, a multi-objective search is developed, combined with first-principles calculations, to rapidly screen over 15,000 materials and discover new interconnect candidates. This approach simultaneously optimizes the bulk electronic conductivity, surface scattering time, and chemical stability using physically motivated surrogate properties accessible from materials databases. Promising local interconnects are identified that have the potential to outperform ruthenium, the current state-of-the-art post-Cu material, and also semi-global interconnects with potentially large skin depths at the GHz operation frequency. The approach is validated on one of the identified candidates, CoPt, using both ab initio and experimental transport studies, showcasing its potential to supplant Ru and Cu for future localinterconnects.

(Invited, Digital Presentation) Overview of Current and Future 3D Heterogeneous Integration Architectures

High performance computing architectures such as high core count servers and AI accelerators have increasing demands on performance and energy efficiency. This requires power efficient and high bandwidth integration of multiple functions such as processing, memory and high speed circuits in a single package. Current trend is to separate these functions into chiplets with optimized technology then integrating them using advanced packaging technologies that target ease of integration, low overhead and maximum flexibility. In this talk, we will provide an overview of current and future 3D packaging technologies. We will start with solder silicon interposers which enable die stacking to support improved logic density/mm2 of package area and cover their design considerations and applications. Next, we will cover local silicon interconnect architectures which bridge the flexibility gap between 2.5D architectures and 3D interposer architectures. Afterwards, we will discuss the next generation architectures which are based on hybrid bonding. These architectures offer much higher interconnect density up to >100,000 connections/mm2 and enable new types of integration. Finally, we will discuss some future directions to continue to support performance and bandwidth scaling.

Design of Fault-Tolerant Automotive Gateway Architecture Using MC9S12XDP512 Microcontroller Device

The increasing number of electrical components and sensors in modern vehicles makes network design more challenging. The development of automotive electronics through multiple communication protocols brings out the importance of a hybrid network that is both optimal and fault-tolerant. In order for a vehicle to communicate with electronic components like engine management systems, stability control units, braking systems, and door functions, a CAN (controller area network) is developed. In order to create a hierarchical vehicle network gateway for quality fortification and cost reduction of vehicles, the CAN and LIN (local interconnect network) are considered. This standardisation will reduce the variety of low-end multiplex solutions currently available for automotive electronics’ development costs, production rates, service fees, and logistics costs. The implementation of a gateway in these electronic devices is made possible with the proposed hybrid architecture. This system effectively shows the high-speed and low-speed applications relevant to crucial ECUs in the network by using two distinct CAN and LIN gateways to send sensor data between the ECUs (electronic control units).

Performance Enhancement of CAN/Ethernet Automotive Gateway with a CAN Data Reduction Algorithm

Data reduction (DR) techniques for the controller area network (CAN) are being developed to reduce the increased bus load caused by the growing number of electronic control units (ECUs) and automotive software complexity in modern automobiles. DR techniques enable the transmission of the same information with less bandwidth, effectively reducing the busload in CAN-based networks. Modern vehicles are composed of various in-vehicle network (IVN) protocols, such as CAN, local interconnect network (LIN), and Ethernet. However, existing DR techniques only consider the communication between CAN nodes. The application of DR techniques to a CAN bus may lead to compatibility issues when communicating with heterogeneous IVN protocols. This paper proposed a CAN/Ethernet gateway system for seamless communication with CAN DR. The proposed gateway system was implemented on a TC275-based embedded system, and its performance was evaluated and analyzed. The experimental results revealed that CAN DR compression effectively improves both the CAN bus load and end-to-end processing time of the gateway system. The CAN bus load was reduced by up to 33.68%, and the average end-to-end processing time was reduced to 336 μs.

Intersections between the global economy and gender structures in the workforce in relocated industries

This study examines the impact of industrial relocation on gender relations in the Tanger–Tetouan–Al Hoceima region of Morocco. Having detected the importance of diversity among workers in relocated industry, our objective is to show how the global process shapes the local. To this end, we carried out 114 biographical interviews with relocated industry workers in the aforementioned region, which we analysed using grounded theory, identifying the ways in which gender relations are interconnected with global dynamics. The key dimensions that emerged in our analysis as interacting with gender were marital status, occupational status, and the status of being an internal migrant to a major industrial city or a native. This intersectional perspective acquires meaning in a theoretical scheme that shows the global–local interconnection and the importance of social action. We identify two profiles located at opposite poles in terms of privilege and access to resources, as well as a range of cases in between that illustrate the configuration of social and employment realities in the relocated industry: married men with middle to high occupational status, born in Tangier or Tetouan, and single women with low occupational status born in depressed areas of the country.

V-SOC4AS: A Vehicle-SOC for Improving Automotive Security

Integrating embedded systems into next-generation vehicles is proliferating as they increase safety, efficiency, and driving comfort. These functionalities are provided by hundreds of electronic control units (ECUs) that communicate with each other using various protocols that, if not properly designed, may be vulnerable to local or remote attacks. The paper presents a vehicle-security operation center for improving automotive security (V-SOC4AS) to enhance the detection, response, and prevention of cyber-attacks in the automotive context. The goal is to monitor in real-time each subsystem of intra-vehicle communication, that is controller area network (CAN), local interconnect network (LIN), FlexRay, media oriented systems transport (MOST), and Ethernet. Therefore, to achieve this goal, security information and event management (SIEM) was used to monitor and detect malicious attacks in intra-vehicle and inter-vehicle communications: messages transmitted between vehicle ECUs; infotainment and telematics systems, which provide passengers with entertainment capabilities and information about the vehicle system; and vehicular ports, which allow vehicles to connect to diagnostic devices, upload content of various types. As a result, this allows the automation and improvement of threat detection and incident response processes. Furthermore, the V-SOC4AS allows the classification of the received message as malicious and non-malicious and acquisition of additional information about the type of attack. Thus, this reduces the detection time and provides more support for response activities. Experimental evaluation was conducted on two state-of-the-art attacks: denial of service (DoS) and fuzzing. An open-source dataset was used to simulate the vehicles. V-SOC4AS exploits security information and event management to analyze the packets sent by a vehicle using a rule-based mechanism. If the payload contains a CAN frame attack, it is notified to the SOC analysts.

Modularity in Nervous Systems—a Key to Efficient Adaptivity for Deep Reinforcement Learning

Modularity as observed in biological systems has proven valuable for guiding classical motor theories towards good answers about action selection and execution. New challenges arise when we turn to learning: Trying to scale current computational models, such as deep reinforcement learning (DRL), to action spaces, input dimensions, and time horizons seen in biological systems still faces severe obstacles unless vast amounts of training data are available. This leads to the question: does biological modularity also hold an important key for better answers to obtain efficient adaptivity for deep reinforcement learning? We review biological experimental work on modularity in biological motor control and link this with current examples of (deep) RL approaches. Analyzing outcomes of simulation studies, we show that these approaches benefit from forms of modularization as found in biological systems. We identify three different strands of modularity exhibited in biological control systems. Two of them—modularity in state (i) and in action (ii) spaces—appear as a consequence of local interconnectivity (as in reflexes) and are often modulated by higher levels in a control hierarchy. A third strand arises from chunking of action elements along a (iii) temporal dimension. Usually interacting in an overarching spatio-temporal hierarchy of the overall system, the three strands offer major “factors” decomposing the entire modularity structure. We conclude that modularity with its above strands can provide an effective prior for DRL approaches to speed up learning considerably and making learned controllers more robust and adaptive.

Altered intestinal microbiota composition with epilepsy and concomitant diarrhea and potential indicator biomarkers in infants.

The diversity and dysregulation of intestinal microbiota is related to the pathology of epilepsy. Gut microbiota plays an important role in epilepsy, and regulating intestinal microbiota through exogenous intervention can alleviate symptoms. However, there are no studies about the effects of epilepsy-related diarrhea on gut microbiota. The diversity and dysregulation of intestinal microbiota is related to the pathology of epilepsy. Gut microbiota plays an important role in epilepsy, and regulating intestinal microbiota through exogenous intervention can alleviate symptoms. However, there are no studies about the effects of epilepsy-related diarrhea on gut microbiota. To evaluate changes in gut microbiota structure and composition in patients with epilepsy and associated diarrhea, the structure and composition of the fecal microbiota among patients with epilepsy (EP, 13 cases), epilepsy with diarrhea (ED, 13 cases), and probiotic treatments (PT, 13 cases), and healthy controls (CK, seven cases) were investigated and validated by utilizing high-throughput 16S rRNA sequencing. The results showed that the α-diversity indexes indicated that richness and phylogenetic diversity had no significant differences among groups. However, the variation of β-diversity indicated that the structure and composition of intestinal microbiota were significantly different among the CK, EP, ED, and PT groups (permutational multivariate analysis of variance, p-value = 0.001). Normalized stochasticity ratio and β-nearest taxon index indicated that stochastic mechanisms exerted increasing influence on community differences with epilepsy and associated diarrhea. ED microbiome alterations include increased Proteobacteria and decreased Actinobacteria and Firmicutes at the phylum level. Bifidobacterium was the core microbe in CK, EP, and PT, whereas it decreased significantly in ED. In contrast, Escherichia/Shigella was the core microbe in CK and ED, whereas it increased significantly in ED (Tukey's multiple comparisons test, adjusted p-value <0.05). The association network in CK has higher complexity and aggregation than in the other groups. The EP network indicated high connectivity density within each community and high sparsity among communities. The bacterial community network of the ED had a more compact local interconnection, which was in contrast to that of PT. The top 7 microbial amplicon sequence variant-based markers that were selected by machine learning to distinguish the groups of epilepsy, probiotic treatments, and healthy infants had stronger discrimination ability. In addition, ASVs_1 (Escherichia/Shigella) and ASVs_3 (Bifidobacterium) had the most importance in the recognition. Our research finally showed that infants with epilepsy, epilepsy with diarrhea, and probiotic treatments exhibit substantial alterations of intestinal microbiota structure and composition, and specific intestinal strains are altered according to different clinical phenotypes and can therefore be used as potential biomarkers for disease diagnosis.

Intelligent Systems and Photovoltaic Cells Empowered Topologically by Sudoku Networks

A graph invariant is a number that can be easily and uniquely calculated through a graph. Recently, part of mathematical graph invariants has been portrayed and utilized for relationship examination. Nevertheless, no reliable appraisal has been embraced to pick, how much these invariants are associated with a network graph in interconnection networks of various fields of computer science, physics, and chemistry. In this paper, the study talks about sudoku networks will be networks of fractal nature having some applications in computer science like sudoku puzzle game, intelligent systems, Local area network (LAN) development and parallel processors interconnections, music composition creation, physics like power generation interconnections, Photovoltaic (PV) cells and chemistry, synthesis of chemical compounds. These networks are generally utilized in disorder, fractals, recursive groupings, and complex frameworks. Our outcomes are the normal speculations of currently accessible outcomes for specific classes of such kinds of networks of two unmistakable sorts with two invariants K-banhatti sombor (KBSO) invariants, Irregularity sombor (ISO) index, Contraharmonic-quadratic invariants (CQIs) and dharwad invariants with their reduced forms. The study solved the Sudoku network used in mentioned systems to improve the performance and find irregularities present in them. The calculated outcomes can be utilized for the modeling, scalability, introduction of new architectures of sudoku puzzle games, intelligent systems, PV cells, interconnection networks, chemical compounds, and extremely huge scope in very large-scale integrated circuits (VLSI) of processors.

Low-cost Chinese goods in Tanzania: the rise of transnational trade routes’ peripheral branches

This article illustrates how rural margins and urban-rural relations in southwest Tanzania join up with transnational trade routes for Chinese goods. It examines the trade of low-cost imported goods from China (plastic sandals, cheap jewellery, various fashion accessories, cheap clothing, etc.) that are widely spread in Tanzania, up into the peripheral countryside. By examining the concept of trade routes, the article contributes to the literature on urban-rural relations in African Studies and ‘inconspicuous globalisation’ by proposing a contrary perspective, where rural areas viewed as areas of consumption of imported products. It then rescales the globalization analysis by situating urban-rural relations at the heart of local and global interconnections. The article demonstrates that geographically peripheral places and actors have a capacity to influence the direction of the global trade route as they combine complementarities between the urban-rural continuum and topological continuity of networks from local to global. The global trade geography is profoundly influenced by what goes on in its inconspicuous tentacles in upcountry regions, such as the Uporoto Mountains, where the global trade route relies on the dynamism of local agriculture, which is increasingly merging with other livelihoods. This is exemplified by the complementarities between trade and agriculture in terms of livelihood, circulation of capital, urban-rural mobility, and links to global scales, which highlight the de-agrarianization process and the development of a mass consumption society.

Globalisation: Rethinking Development in the Context of the Pandemic

The stark reality of human existence with a predictable 90 per cent of most reported cases emerging from these showcases of development, urbanisation, and industrialisation — our cities and towns tell us something that we cannot ignore. The cities took the brunt and revelled as the epicentres of the pandemic and a public health disaster, with the lockdowns remaining prolonged, severe, and even punitive in many cities of the world. We discuss here, the impacts of unprecedented crisis as we continue to rely on a globalised economy, and gaze at the helplessness with which the state handles our lives and appears to compromise our destinies through in a market full of uneven players. COVID-19 first hit the global power centres, the developed nations, and the business capitals in developing countries. Excited holidaymakers cruising passenger returnees from Ruby Princess began infecting others and those others infected capital cities like Sydney and Melbourne, Australia. It is intriguing and highly disturbing that how responsibility for a disease that travelled across borders with passports and through commercial airlines came to be laid at the poor of Mumbai’s slums or Brazil’s favelas. It is really the well-off and the powerful who seem to rule the roost in cities. The density of populations in urban habitats and the intensity of local and global interconnectivity have made these urban habitats clearly more vulnerable to the spread of the virus. Be it the social housing that is vertical for low-income earners in Melbourne or the urban sprawls of Dharavi, Mumbai; evidence suggests that density per se correlated to higher virus transmission.

Improvement of Automotive Sensors by Migrating AUTOSAR End-to-End Communication Protection Library into Hardware

This paper explores new methods to increase the level of safety of data transfer between sensors and electronic control units (ECUs) in automotive communication. A new model of basic sensors to be used in automotive electronics is proposed. This model contains hardware modules that implement the end-to-end communication protection (E2E) mechanism, as defined by the Automotive Open System Architecture (AUTOSAR) standard. By adding this feature inside the sensors, it is possible that, in addition to increasing the safety level, these sensors can be directly connected to the network ECUs via standard communication buses (e.g., Local Interconnect Network (LIN), Controller Area Network (CAN), Flexray, etc.). This paper describes the model, design, and mapping (in a Field Programmable Gate Array device (FPGA)) of the hardware E2E module capable of generating the Cyclic Redundancy Code (CRC) and counter signal for a customized message. This message represents the output of the new sensor E2E module used in a safety communication as requested by the automotive E2E standard. The model is validated also by comparing the data output of the E2E hardware with the data output of the AUTOSAR software E2E library. Finally, future needs and directions are suggested in this area.

Spatially controlled, bipolar, cortical stimulation with high-capacitance, mechanically flexible subdural surface microelectrode arrays.

Most neuromodulation approaches rely on extracellular electrical stimulation with penetrating electrodes at the cost of cortical damage. Surface electrodes, in contrast, are much less invasive but are challenged by the lack of proximity to axonal processes, leading to poor resolution. Here, we demonstrate that high-density (40-μm pitch), high-capacitance (>1 nF), single neuronal resolution PEDOT:PSS electrodes can be programmed to shape the charge injection front selectively at depths approaching 300 micrometers with a lateral resolution better than 100 micrometers. These electrodes, patterned on thin-film parylene substrate, can be subdurally implanted and adhere to the pial surface in chronic settings. By leveraging surface arrays that are optically transparent with PEDOT:PSS local interconnects and integrated with depth electrodes, we are able to combine surface stimulation and recording with calcium imaging and depth recording to demonstrate these spatial limits of bidirectional communication with pyramidal neurons in mouse visual cortex both laterally and at depth from the surface.

A Combinatorial Input Landscape in the "Higher-Order Relay" Posterior Thalamic Nucleus.

All pathways targeting the thalamus terminate directly onto the thalamic projection cells. As these cells lack local excitatory interconnections, their computations are fundamentally defined by the type and local convergence patterns of the extrinsic inputs. These two key variables, however, remain poorly defined for the "higher-order relay" (HO) nuclei that constitute most of the thalamus in large-brained mammals, including humans. Here, we systematically analyzed the input landscape of a representative HO nucleus of the mouse thalamus, the posterior nucleus (Po). We examined in adult male and female mice the neuropil distribution of terminals immunopositive for markers of excitatory or inhibitory neurotransmission, mapped input sources across the brain and spinal cord and compared the intranuclear distribution and varicosity size of axons originated from each input source. Our findings reveal a complex landscape of partly overlapping input-specific microdomains. Cortical layer (L)5 afferents from somatosensory and motor areas predominate in central and ventral Po but are relatively less abundant in dorsal and lateral portions of the nucleus. Excitatory inputs from the trigeminal complex, dorsal column nuclei (DCN), spinal cord and superior colliculus as well as inhibitory terminals from anterior pretectal nucleus and zona incerta (ZI) are each abundant in specific Po regions and absent from others. Cortical L6 and reticular thalamic nucleus terminals are evenly distributed across Po. Integration of specific input motifs by particular cell subpopulations may be commonplace within HO nuclei and favor the emergence of multiple, functionally diverse input-output subnetworks.SIGNIFICANCE STATEMENT Because thalamic projection neurons lack local interconnections, their output is essentially determined by the kind and convergence of the long-range inputs that they receive. Fragmentary evidence suggests that these parameters may vary within the "higher-order relay" (HO) nuclei that constitute much of the thalamus, but such variation has not been systematically analyzed. Here, we mapped the origin and local convergence of all the extrinsic inputs reaching the posterior nucleus (Po), a typical HO nucleus of the mouse thalamus by combining multiple neuropil labeling and axon tracing methods. We report a complex mosaic of partly overlapping input-specific domains within Po. Integration of different input motifs by specific cell subpopulations in HO nuclei may favor the emergence of multiple, computationally specialized thalamocortical subnetworks.

Frequency response analysis of CNT bundle interconnects

ABSTRACT When carbon nanotubes (CNTs) are used in interconnects, their electrical properties are appealing as they are not affected by surface scattering when the feature size decreases. After almost two decades of research on CNT-based interconnects, it is still a question which type of CNT bundle performs better than the other. There are many contradictory reports in this regard. So, it is very important to study the frequency response of these interconnects to ascertain their actual performance and compare them. HSPICE-based circuit simulations at 20 nm and 14 nm technology nodes are carried out. Furthermore, the analysis for local, semi-global and global interconnect lengths is carried out. Results show that single-walled CNT (SWCNT) bundles have higher voltage gain and higher current gain for all lengths at both the technology nodes. These results are significant in understanding the best choice of interconnects among SWCNT bundle, MWCNT bundle and mixed CNT bundle interconnects.

An Active EMI Cancellation Technique Achieving a 25-dB Reduction in Conducted EMI of LIN Drivers

Robustness to electromagnetic interference (EMI) is one of the primary design aspects of state of the art automotive ICs like System Basis Chips (SBCs) which provide a wide range of analog, power regulation and digital functions on the same die. One of the primary sources of conducted EMI on the Local Interconnect Network (LIN) driver output is an integrated switching DC-DC regulator noise coupling through the parasitic substrate capacitance of the SBC. In this paper an adaptive active EMI cancellation technique to cancel the switching noise of the DC-DC regulator on the LIN driver output to ensure electromagnetic compatibility (EMC) is presented. The proposed active EMI cancellation circuit synthesizes a phase synchronized cancellation pulse which is then injected onto the LIN driver output using an on-chip tunable capacitor array to cancel the switching noise injected via substrate. The proposed EMI reduction technique can track and cancel substrate noise independent of process technology and device parasitics, input voltage, duty cycle and loading conditions of the DC-DC switching regulator. The EMI cancellation system is designed and fabricated on a 180nm Bipolar-CMOS-DMOS (BCD) process with an integrated power stage of a DC-DC buck regulator at a switching frequency of 2MHz along with an automotive LIN driver. The EMI cancellation circuit occupies an area of 0.7 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> , which is less than 3% of the overall area in a standard SBC and consumes 12.5 mW of power and achieves 25 dB reduction of conducted EMI in the LIN driver output’s power spectrum at the switching frequency and its harmonics.

Compact hardware accelerator for field multipliers suitable for use in ultra-low power IoT edge devices

Adoption of IoT technology without considering its security implications may expose network systems to a variety of security breaches. In network systems, IoT edge devices are a major source of security risks. Implementing cryptographic algorithms on most IoT edge devices can be difficult due to their limited resources. As a result, compact implementations of these algorithms on these devices are required. Because the field multiplication operation is at the heart of most cryptographic algorithms, its implementation will have a significant impact on the entire cryptographic algorithm implementation. As a result, in this paper, we propose a small hardware accelerator for performing field multiplication on edge devices. The hardware accelerator is primarily composed of a processor array with a regular structure and local interconnection among its processing elements. The main advantage of the proposed hardware structure is the ability to manage its area, delay, and consumed energy by choosing the appropriate word size l. We implemented the proposed structure using ASIC technology and the obtained results attain average savings in the area of 95.9%. Also, we obtained significant average savings in energy of 63.2%. The acquired results reveal that the offered hardware accelerator is appropriate for usage in resource-constrained IoT edge devices.