Potential Parallelism Research Articles

A two-stage parallel hybrid method for power system dynamic security assessment

Abstract The present paper introduces a hybrid method based on both the Lyapunov’s direct approach using the Potential Energy Boundary Surface method and parallel time-domain simulation for fast power system dynamic security assessment. The main contribution in the presented method is an approach that combines the directional derivative of the potential energy function and the maximum potential energy criterion in order to reduce the conservativeness in the estimation of the stability region at the direct method stage. For detailed investigation of the critical contingencies, a parallel approach is applied at the time-domain simulation stage. From the simulation results, the proposed method achieves a high level of accuracy in classifying network contingencies and shows great computational performance potential in light of the requirement for fast dynamic security assessment.

Sport and policy in ‘contested nations’: Analysing policy and political considerations in Taiwan and Scotland

Policy learning from other international contexts is an important strategy during the sports policymaking process for the government of Taiwan, and recent research has examined potential parallels between Taiwan and Scotland with regards to sports policy. Although the status of Taiwan and Scotland is not the same, interesting comparisons can be made given their shared status as ‘contested nations’ that are often in the shadow of their closest neighbours with whom there is an uneasy political relationship – respectively, China and England. As a consequence, sport is regarded in both countries as an important vehicle for establishing and promoting a distinctive identity, albeit with contrasting political and policy considerations. Drawing upon 15 semi-structured interviews with sports policymakers and politicians from both Taiwanese and Scottish contexts, this paper critically examines the similarities and contrasts with regards to the political considerations which shape and constrain the nature of sport policy in each context. This analysis will focus on the role of central government, local government, sport policy organisations, and sporting National Governing Bodies in both Taiwan and Scotland, with particular emphasis on the position of sport within the broader policy, political, ideological and constitutional considerations for policymakers in each context.

Coexistence of sustainability and growth in different economies

Research backgroundThe Sustainable Development Goals (SDGs) and their practical application to national economies have raised different lines of investigation among which this research focuses on interactions between macroeconomic indicators, namely Gross Domestic Product per Capita (GDPpC), Stock Exchange Indexes and CO2 emissions as indexes representative of SDGs achievement. Purpose of the articleThis research aims to analyze the current compatibility of the different SDG, more specifically those related to economic growth and climate sustainability. MethodsTwo methods have been followed: a descriptive methodology based on the Pearson Correlation Coefficient to assess potential behavioral parallelisms between the indexes studied. Inference, to define functional relations and potential causality traits between the macroeconomic indicators. Findings and value addedThe main added value of this research is to question the true simultaneous applicability of the different SDGs.

Internationalization of Traditional and E-Business in Finance: A Comparative Study

The phenomenon of internationalization has been extensively investigated, leading to the formulation of frameworks to encapsulate its fundamental principles. However, recent technological innovations have dismantled previously unassailable barriers. This same technological progress has increased digitized enterprises, more aptly known as E-Business Companies (EBCs). This study serves a dual purpose: firstly, to delve into widely researched conventional market entry theories, and secondly, to scrutinize the relevance of these theories concerning the internationalization process for both traditional and electronic businesses operating within the financial sector. Addressing this intricate subject necessitated a cross-case comparative analysis employing secondary data. Potential distinctions and parallels between the two were underscored by juxtaposing the case study entities. The outcomes revealed a contrast between the gradual expansion of traditional companies and the rapid internationalization process of EBCs, largely propelled by Internet technology and relatively unencumbered by traditional market entry barriers. Both firms’ managerial strategies and organizational culture influenced their expansion trajectories. This study contributes by consolidating and aggregating existing literature, enhancing its applicability, and furnishing a foundation for future research in this domain.

Rūmī’s Asceticism Explored: A Comparative Glimpse into Meister Eckhart’s Thought

This paper examines the nature of “asceticism” (rīyāḍat) in Sufism, revolving around the works of the 13th century Persian Sufi Mawlānā Jalāl al-Dīn Muḥammad Rūmī Balkī and exploring two critical inquiries: Firstly, it seeks to determine whether Rūmī’s mystical perspective on asceticism is world-rejecting or world-affirming. Secondly, it investigates potential parallels and divergences between Rūmī and Meister Eckhart’s stances—specifically, through the Dominican’s Sermons and Treatises—and assesses the implications for the two figures. In examining Rūmī’s works, the current research primarily relies on secondary sources within the Persian intellectual tradition to provide an intracultural context. Utilizing horizontal and vertical interpretations, this study examines critical themes in Rūmī’s works, such as love, detachment (zuhd), the world’s deceptive nature, and seclusion. The findings reveal that Rūmī’s asceticism is not “monastic” (ruhbānī); instead, it balances moderate abstinence and worldly engagement, underpinned by the Quran and the ḥadīth teachings. Rūmī and Eckhart underscore asceticism as an inner transformation rather than mere physical austerity, emphasizing inner purification, self-transcendence, and spiritual detachment as routes to divine unity. The two thinkers’ teachings are catalysts for profound personal transformation and a more fulfilling life in today’s world.

HİÇ YERDEN ADALET: THOMAS NAGEL’İN VE JOHN RAWLS’UN DÜŞÜNCESİNDE ETİK-SİYASAL NESNELLİK

The question regarding the relationship between ethics and politics has always occupied the minds of philosophers and political theorists. Thomas Nagel is one philosopher among others who clearly draws a close link between the ethical and the political. Accordingly, Nagel’s inquiry on the issues of objectivity and subjectivity is providing the readers not only with ethical but also political insights regarding the matter. On the other hand, John Rawls’s ideas of an “original position” and a “veil of ignorance” in their relation to his understanding of political justice, similarly, interrogate the possibility of an alternative perspective for an objective standpoint that recognizes and encompasses individuality while offering a model for a political community which is founded upon impartial principles. Although Rawls’s discussion is mainly contractual and strictly political, certain aspects of his works on political justice and liberalism might be reconsidered in an investigation which also engages with issues in morality and ethics. Therefore, the present study will attempt at reading Nagel’s discussion of objectivity and impartiality from an ethico-political standpoint which juxtaposes ‘the view from nowhere’ with Rawlsian “veil of ignorance”. For this, relevant arguments of both philosophers will be explored in a comparative manner while highlighting potential parallelisms between the two.

Aging in Non-Human Primate Society: What Relevance for Social Gerontology?

Wild animals were once thought not to age, as their deaths were viewed as the consequences of constant exposure to the perennial risks of nature. Studies of non-human aging were largely confined to biological investigations, focusing upon short-lived species such as fruit flies, mice and nematodes. Over recent decades, this has changed, and studies of non-human aging have begun to investigate aging taking place in social contexts. The present paper reviews such work on social aging in non-human primate societies. Four themes were evident in seeking potential parallels between human and non-human social aging. These were social disengagement, social bonds or social capital, status rank and dominance, and kinship ties. No studies were found that had explored parent caregiving. The lack of clear evidence that agedness is perceived and recognised within non-human primate groups suggests that most age-associated behavioral changes are at best demi-regularities that map quite imprecisely upon social aging in human societies. However as non-human primate societies are becoming gradually confined to areas and environments established through human agency and human institutions, it is possible to speculate that non-human primate old age will become more common if less natural and as a result, perhaps more akin to social aging in human societies.

The Expression of Time in Amahuaca Switch-Reference Clauses

Many languages of lowland South America mark remoteness distinctions in their TAM systems. In Amahuaca (Panoan; Peru) multiple remoteness distinctions are made in the past and the future. I argue that the temporal remoteness morphemes (TRMs) of Amahuaca can be understood as indications of the remoteness of the event time relative to the utterance time in matrix environments. In dependent clauses, however, the picture is more complicated. By exploring adjunct switch-reference clauses, I show that TRMs in dependent clauses display a previously unreported ambiguity reminiscent of ambiguities found with adjunct tense. Specifically, they can relate the time of the adjunct clause event to the time of the matrix event or to the utterance time. I suggest that this ambiguity may arise from the availability of multiple interpretation sites for adjunct TRMs, with the possible interpretations being constrained by the temporal semantics of switch-reference markers themselves. This work thus contributes to the empirical understanding of how TRMs are interpreted in dependent clauses, suggesting interesting potential parallels to the interpretation of adjunct tense.

Meteor cluster event indication in variable-length astronomical video sequences

Abstract In recent years, the study of parallel or cluster meteor events has become increasingly popular. Many imaging systems currently focus on meteor detection, but the algorithms exploiting the data from such systems do not investigate the probability of cluster or parallel meteor events. This paper presents a novel approach to indicate a potential meteor cluster or parallel meteor event based on variable-length astronomical video sequences. The presented algorithm consists of two main parts: meteor event pre-detection and meteor cluster event probability evaluation. The first part of the algorithm involves a meteor pre-detection method based on the Hough transform (HT) and the exact event location within the time domain. In addition to pre-detecting meteor events, the method outputs event trajectory parameters that are further exploited in a second part of the algorithm. This subsequent part of the algorithm then operates over these meteor trajectory parameters and indicates the probability of cluster occurrence. The algorithm is experimentally evaluated on video sequences generated by the Meteor Automatic Imager and Analyzer (MAIA) astronomical imaging system, covering the Draconid and September ε Perseid (SPE) meteor showers. Compared to the current MAIA meteor detection software, the proposed part of the pre-detection algorithm shows promising results, especially the increased rate of correct meteor detection. The meteor cluster evaluation part of the algorithm then demonstrates its ability to successfully select related meteor event candidates (disintegrated from the same parental object) and reject unrelated ones.

Pounding the ground for the thunder god: Sounding platforms in the Prehispanic Andes (CE 1000–1532)

The past is silent, or mostly so, yet sound can open a window to this same past. Early Spanish colonial ethnohistoric sources from the Andes are littered with references to indigenous dancing and music as an accompaniment to ritual and feasts. Recent archaeological research in the upper Ica Drainage on the late Prehispanic (CE 1000–1532) site of Viejo Sangayaico has revealed an open-air platform potentially prepared as a type of sprung or ‘sounding’ dancefloor which produces a deep percussion-like sound when stepped upon. I interpret this feature as a sounding platform for stomp dancing. The larger site’s association to veneration of Andean lightning and thunder deity suggests that dancing at this location might have been in part attuned to this supernatural entity. Wider ethnohistoric evidence provide a potential parallel into understanding what type of activities were practiced on this platform and site.

Multigraph learning for parallelism discovery in sequential programs

SummaryParallelization is an optimization technique that is playing an increasingly vital role in software applications. Discovering the potential parallelism in sequential programs is of primary importance for parallelization. To this end, various tools have been created to obtain parallelizable targets by analyzing the dependencies in sequential programs. However, the majority are constructed based on manually designed dependence analysis rules. Consequently, they must follow some constraints, which limit the scope of their program analysis capability. Furthermore, constructing a dependency analysis rule is a complicated and highly sophisticated endeavor. In this study, we exploit the fact that neural network models can learn the potential features of programs to tackle the parallelism discovery task in an end‐to‐end manner. Specifically, we developed a multigraph learning architecture on top of multiple abstract code representations in a complementary manner. In the architecture, we equip code representations with different neural network models in a targeted manner, including a deep convolutional neural network for analyzing both control and data flows and a novel neural network for learning the abstract syntax trees. Experimental results obtained on a common parallelism discovery dataset indicate that the developed multigraph learning architecture can learn potential parallelism patterns in sequential programs with high accuracy and efficiency.

From The Editors

From The Editors

TCADer: A Tightly Coupled Accelerator Design framework for heterogeneous system with hardware/software co-design

Domain-specific architectures (DSAs) or hardware accelerators are typical innovations that are leading computer architecture into a new golden age. In a heterogeneous system, these tailored processors (accelerators) are managed by and can work in parallel with the general-purpose CPUs with the help of high-speed input/output (I/O) bus or System on Chip (SoC) bus. However, the high communication overhead makes such loosely coupled architecture unsuitable for small-scale or low-latency tasks. Although integrating accelerators into the CPU pipeline as functional units can significantly reduce the interaction latency, due to the performance side effects to CPU micro-architecture and the increasing design and verification complexity of processors, such tightly coupled architecture is only suitable for very simple tasks. Moreover, the speedup (or utilization) of the tightly coupled accelerator would become limited, because of the different design principles of specialized hardware accelerators and general-purpose CPUs.In this paper, we propose TCADer, a novel tightly coupled accelerator design framework for the heterogeneous system with hardware/software co-design, and it has the following key features: (1) It provides a software runtime and hardware integration environment with low communication overhead for various accelerators, especially effective for fine-grained offloading of small-scale or low-latency tasks; (2) It has a coprocessor management unit that takes over complex memory accesses, ensuring the independence of accelerator and CPU with extremely low interaction latency; and (3) A lightweight runtime environment, called fence model, is proposed to support accelerator usually running in user-mode. With TCADer, we implement five different types of accelerators and integrate them into a real processor. Experimental results show that TCADer obtains the advantages of tightly and loosely coupled integration methods while avoiding their disadvantages. More specifically, compared with the loosely coupled method, TCADer reduces the communication overhead by 98.2%, which is similar to tightly coupled method. Compared with the tightly coupled method, TCADer gets 2.76x speedup. TCADer also supports programmability, and further evaluations show that TCADer is suitable for small-scale, frequent-interactive tasks and can also explore the potential fine-grained parallelism within computing tasks.

Age-related brain atrophy is not a homogenous process: Different functional brain networks associate differentially with aging and blood factors

Aging is characterized by a progressive loss of brain volume at an estimated rate of 5%per decade after age 40. While these morphometric changes, especially those affecting gray matter and atrophy of the temporal lobe, are predictors of cognitive performance, the strong association with aging obscures the potential parallel, but more specific role, of individual subject physiology. Here, we studied a cohort of 554 human subjects who were monitored using structural MRI scans and blood immune protein concentrations. Using machine learning, we derived a cytokine clock (CyClo), which predicted age with good accuracy (Mean Absolute Error = 6 y) based on the expression of a subset of immune proteins. These proteins included, among others, Placenta Growth Factor (PLGF) and Vascular Endothelial Growth Factor (VEGF), both involved in angiogenesis, the chemoattractant vascular cell adhesion molecule 1 (VCAM-1), the canonical inflammatory proteins interleukin-6 (IL-6) and tumor necrosis factor alpha (TNFα), the chemoattractant IP-10 (CXCL10), and eotaxin-1 (CCL11), previously involved in brain disorders. Age, sex, and the CyClo were independently associated with different functionally defined cortical networks in the brain. While age was mostly correlated with changes in the somatomotor system, sex was associated with variability in the frontoparietal, ventral attention, and visual networks. Significant canonical correlation was observed for the CyClo and the default mode, limbic, and dorsal attention networks, indicating that immune circulating proteins preferentially affect brain processes such as focused attention, emotion, memory, response to social stress, internal evaluation, and access to consciousness. Thus, we identified immune biomarkers of brain aging which could be potential therapeutic targets for the prevention of age-related cognitive decline.

WHEN I READ CAROL GILLIGAN’S IN A DIFFERENT VOICE

This article reviews some of Carol Gilligan’s ideas on the ethics of care and justice, and describes the development and validation of a care-based moral development instrument, the Ethic of Care Interview (ECI). Following Gilligan’s theory, the ECI measures five hierarchical levels of care reasoning that involve a progressively more sophisticated understanding of human interconnection. A series of studies suggests that the ability to care both for others and oneself is a valuable human quality and an important aspect of positive adaptation across the lifespan. The link between care-based moral thought and identity development is strong, especially for women, as Gilligan suggests. Potential decisive determinants of growth in the care ethic and moral maturity are discussed. Gilligan and Erikson agree that crisis reveals and creates character. Conflict, tension and trauma are potential sources of growth and strength. Crisis and life changing events can propel people into a deeper understanding of themselves and the truth of human interdependence. Questions of morality are bound with questions of right and wrong, good and evil, and ultimately of the meaning of life itself. Why be moral? Why care? Why live? Kohlberg and Erikson say that faith and the experience of unconditional love (agape) is required to find an adequate answer to such profound questions. Both contemplated a similar higher spiritual stage of human development – a transcendent perspective beyond the universal to oneness with the whole of life, nature, cosmos or God. A potential parallel higher metaphoric ECI level is considered. It is concluded that care and justice each is a part of agape. Moral maturity involves an integration that reconciles the truths of both. Future studies and implications for moral education are suggested.

Dimits transition in three-dimensional ion-temperature-gradient turbulence

We extend our previous work on the two-dimensional (2-D) Dimits transition in ion-scale turbulence (Ivanov et al., J. Plasma Phys., vol. 86, 2020, 855860502) to include variations along the magnetic field. We consider a three-field fluid model for the perturbations of electrostatic potential, ion temperature, and ion parallel flow in a constant-magnetic-curvature geometry without magnetic shear. It is derived in the cold-ion, long-wavelength asymptotic limit of the gyrokinetic theory. Just as in the 2-D model, a low-transport (Dimits) regime exists and is found to be dominated by a quasistatic staircase-like arrangement of strong zonal flows and zonal temperature. This zonal staircase is formed and maintained by a negative turbulent viscosity for the zonal flows. Unlike the 2-D model, the three-dimensional (3-D) one does not suffer from an unphysical blow up beyond the Dimits threshold where the staircase becomes nonlinearly unstable. Instead, a well-defined finite-amplitude saturated state is established. This qualitative difference between the 2-D and 3-D models is due to the appearance of small-scale ‘parasitic’ modes that exist only if we allow perturbations to vary along the magnetic field lines. These modes extract energy from the large-scale perturbations and provide an effective enhancement of large-scale thermal diffusion, thus aiding the energy transfer from large injection scales to small dissipative ones. We show that in our model, the parasitic modes always favour a zonal-flow-dominated state. In fact, a Dimits state with a zonal staircase is achieved regardless of the strength of the linear drive, provided the system is sufficiently extended along the magnetic field and sufficient parallel resolution is provided.

Optimization of Vehicle Paths considering Carbon Emissions in a Time-Varying Road Network

Regarding the study of the time-dependent green vehicle path problem (TDGVRP), most of the literature uses the step function to represent the vehicle speed change in order to reduce the computation, ignoring the continuity of vehicle speed, which leads to the lack of accurate carbon emissions measurement. This study represents the vehicle speed variation as a continuous function to make the constructed model more consistent with the actual situation, in order to promote the reduction of carbon emissions generated in the logistics and distribution process, improve the greenhouse effect and ecological environment, and ultimately promote sustainable development. In this paper, a simulated annealing-genetic hybrid algorithm (GA-SA) is proposed to solve the constructed optimization model, and two sets of comparison experiments are designed. The experimental results show that compared with the two classical algorithms, the simulated annealing-genetic hybrid algorithm (GA-SA) has better solution performance, inherits the robustness and potential parallelism of the genetic algorithm, and has a higher practical value. Meanwhile, although the total driving distance of the vehicle path considering carbon emissions increases by 3.52 km, the carbon emission cost and the total cost decrease by 5.6% and 3.4%, respectively, which confirms that the path optimization model considering carbon emissions constructed in this study can not only play the role of restraining carbon emissions but also reduce the total distribution cost and the waste of resources. In this study, a continuous function is used to represent the vehicle speed variation, and two classical optimization algorithms (the genetic algorithm and simulated annealing algorithm) are combined and parameter-optimized, and certain innovations are made in the processing of vehicle speed and the solution algorithm. Finally, the effectiveness of the model and algorithm is verified by experiments.

Metallica the state/Metallica the war machine: A Deleuzoguattarian analysis of the world’s biggest metal band

Metallica has offered a diverse catalogue of music and breadth of performance over their careers. As a band occupying an integral cultural placement as measured by both level of fame and influential import, many academic inroads have been opened to their work, career and music. These lines of inquiry, along with more general lines of inquiry into the genre of heavy metal itself, frequently position Metallica as the unofficial ambassadors of the music. However, despite the depth and breadth of research devoted to these areas, an underdeveloped opening exists when it comes to the potential parallels and connections between the music and actions of Metallica and the philosophical works of Gilles Deleuze and Felix Guattari, specifically their notions of the state and the nomadic war machine. These theories serve as the basis of exploration in this research and provide new considerations and perspectives of both the career of Metallica and the larger implications to the study of popular music. The relations between Deleuze and Guattari and popular music offer many connections and examples, but the work of Metallica was selected as a representation of all of these connections as they are the ideal band from which to launch and develop these notions. Metallica is a group with clear distinctive phases to their career that fall within the concepts of the war machine (1981–91) and the state (1991–2008). While Metallica is not the only example of a band that falls into these dichotomous categorizations, they offer the best opportunity to define and clarify the connections to the ideas of Deleuze and Guattari. This can then be applied to other bands, genres of music and aspects of popular culture. Metallica is symbolic of this undertheorized connection to the works of Deleuze and Guattari. While these theoretical connections to the ideas of Deleuze and Guattari may not serve as the final piece to a full comprehension of the complexities of Metallica’s controversial career, they offer insights and open nascent pathways towards further analysis of the band. This is important because they have existed both on the fringes of marginalization and as a significant part of the discourse of popular culture.

Efficient FPGA Parallelization of Lipschitz Interpolation for Real-Time Decision-Making

One of the main open challenges in the field of learning-based control is the design of computing architectures able to process data in an efficient way. This is of particular importance when time constraints must be met, as, for instance, in real-time decision-making systems operating at high frequencies or when a vast amount of data must be processed. In this respect, field-programmable gate array (FPGA)-based parallel processing architectures have been hailed as a potential solution to this problem. In this article, a low-level design methodology for the implementation on FPGA platforms of Lipschitz interpolation (LI) algorithms is presented. The proposed design procedure exploits the potential parallelism of the LI algorithm and allows the user to optimize the area and energy resources of the resulting implementation. Besides, the proposed design allows to know in advance a tight bound of the error committed by the FPGA due to the representation format. Therefore, the resulting implementation is a highly parallelized and a fast architecture with an optimal use of the resources and consumption and with a fixed numerical error bound. These facts flawlessly suit the desirable specifications of learning-based control devices. As an illustrative case study, the proposed algorithm and architecture have been used to learn a nonlinear model predictive control law applied to self-balance a two-wheel robot. The results show how computational times are several orders of magnitude reduced by employing the proposed parallel architecture, rather than sequentially running the algorithm on an embedded ARM-CPU-based platform.

Linear and nonlinear excitation of TAE modes by external electromagnetic perturbations using ORB5

The excitation of toroidicity-induced Alfvén eigenmodes (TAEs) using prescribed external electromagnetic perturbations (hereafter ‘antenna’) acting on a confined toroidal plasma, as well as its nonlinear couplings to other modes in the system, is studied. The antenna is described by an electrostatic potential resembling the target TAE mode structure along with its corresponding parallel electromagnetic potential computed from Ohm’s law. Numerically stable long-time linear simulations are achieved by integrating the antenna within the framework of a mixed representation and pullback scheme (Mishchenko et al 2019 Comput. Phys. Commun. 238 194). By decomposing the plasma electromagnetic potential into symplectic and Hamiltonian parts and using Ohm’s law, the destabilizing contribution of the potential gradient parallel to the magnetic field is cancelled in the equations of motion. Besides evaluating the frequencies and the growth/damping rates of excited modes compared to referenced TAEs, we study the interaction of antenna-driven modes with fast particles and indicate their margins of instability. Furthermore, we show the first nonlinear simulations in the presence of a TAE-like antenna exciting other TAE modes, as well as global Alfvén eigenmodes with different toroidal wave numbers from that of the antenna.