Search results

This paper aims to present the result of a scientometric analysis conducted using studies on high-performance computing in computational modelling. This was done with a view to showcasing the need for high-performance computers (HPC) within the architecture, engineering and construction (AEC) industry in developing countries, particularly in Africa, where the use of HPC in developing computational models (CMs) for effective problem solving is still low.

An interpretivism philosophical stance was adopted for the study which informed a scientometric review of existing studies gathered from the Scopus database. Keywords such as high-performance computing, and computational modelling were used to extract papers from the database. Visualisation of Similarities viewer (VOSviewer) was used to prepare co-occurrence maps based on the bibliographic data gathered.

Findings revealed the scarcity of research emanating from Africa in this area of study. Furthermore, past studies had placed focus on high-performance computing in the development of computational modelling and theory, parallel computing and improved visualisation, large-scale application software, computer simulations and computational mathematical modelling. Future studies can also explore areas such as cloud computing, optimisation, high-level programming language, natural science computing, computer graphics equipment and Graphics Processing Units as they relate to the AEC industry.

The study assessed a single database for the search of related studies.

The findings of this study serve as an excellent theoretical background for AEC researchers seeking to explore the use of HPC for CMs development in the quest for solving complex problems in the industry.

High performance computing (HPC) is used to solve complex calculations that personal computing devices are unable to handle. HPC offers the potential for small- and medium-size enterprises (SMEs) to engage in product innovation, service improvement and the optimization of resource allocation (Borstnar and Ilijas, 2019). However, the expensive infrastructure, maintenance costs and resource knowledge gaps that accompany the use of HPC can make it inaccessible to SMEs. By moving HPC to the cloud, SMEs can gain access to the infrastructure without the requirement of owning or maintaining it, but they will need to accept the terms and conditions of the cloud contract. This paper aims to improve how SMEs access HPC through the cloud by providing insights into the terms and conditions of HPC cloud contracts.

This paper adopts a systematic literature review by implementing a four-step approach. A comprehensive search was undertaken and results synthesized to enable this paper’s objectives to be met.

This paper proposes that SMEs could gain competitive advantage(s) by understanding their own needs and improving their contract negotiation abilities, service management skills and risk management abilities before accepting the terms and conditions of the cloud contract. Furthermore, a checklist, service-level agreement, easily ignored elements and risk areas are presented as guidance for SMEs when reviewing their HPC cloud contract(s).

While HPC cloud contracts are a niche research topic, it is one of the key factors influencing the ability of SMEs to access HPC through the cloud. It is, however, by no means a level playfield with SMEs at a distinct disadvantage because of not influencing the writing up of the HPC cloud contract. The added value of the paper is that it contributes to our overall understanding of the terms and conditions of HPC cloud contracts.

This paper aims to develop a conceptual framework as a valuable investigative tool for future empirical studies examining stakeholders’ interactions within a high-performance computing (HPC) service ecosystem and identifying the enablers for better value co-creation under various service provisioning contexts.

This conceptual paper follows a theory adaptation research design that systematically examines the literature on a substantive topic encompassing HPC technology adoption and usage by European small and medium-sized enterprises (SMEs). Furthermore, it introduces theoretical perspectives from service innovation research as its methodological approach (method theory) to develop a theoretical framework for value co-creation within an HPC service ecosystem.

The conceptual framework presented in this paper identifies the critical resource elements of SMEs, which can potentially be integrated with other stakeholders’ resources and complement the limited internal resources of SMEs for enhanced value co-creation within an HPC service ecosystem.

The conceptualisation of an HPC service ecosystem and the potential of value co-creation through integrating stakeholders’ resources, presented in this paper, underscore further empirical research in this direction.

Findings from this paper can inform European policymakers for regional development to frame regional strategies and policies that enable SMEs to better uptake HPC services. Service providers can revisit their business models to reconfigure their organisational resources for enhanced value proposition and co-creation.

This study advances the agenda of transformative service research that aims uplifting changes and societal well-being through a more inclusive and sustainable value co-creation among a wider set of stakeholders within the service ecosystem.

The paper addresses an under-investigated research gap by examining SMEs’ adoption of HPC services and opportunities for higher value co-creation using a service ecosystem approach based on multi-actor interaction, collaboration and resource integration.

Peer‐to‐peer (P2P) communities have the capability to construct a powerful virtual supercomputer by assembling idle internet cycles. The purpose of this paper is to present the scheduling issues in an unstructured P2P‐based high performance computing (HPC) system to achieve high performance for applications.

A new application model is proposed for the system, where applications are parallelized in the program level. To address high performance for these applications, the system resources are controlled in a semi‐centralized 3‐layer network, where volunteers form many autonomous unstructured P2P domains. Furthermore, based on such a resource management policy, a job scheduling strategy is adopted, which is collaborated by global and domain scheduling. The global scheduling is responsible for the balance among domains, while the domain scheduling resolve workpiles' execution in a domain.

Theoretical analysis and a benchmark experiment show that the scheduling provides scalable and enormous computing capability in the P2P‐based HPC system.

The paper shows that scheduling helps P2HP (an unstructured P2P‐based HPC system) provide scalable and enormous computing capability for HPC applications.

This paper aims to explore high performance computing (HPC) in the context of the South East region of Ireland, which hosts a publicly available HPC infrastructure, by identifying whether companies, especially small and medium enterprises (SMEs), are using, or are prepared to use, HPC to improve their business processes, expansion and sustainability. The result of the analysis provides region-specific guidelines that are meant to improve the HPC landscape in the region. The lessons learned from this research may apply to other similar, and developing, European regions.

This paper explores the use of HPC in the context of the South East region of Ireland and examines whether companies, especially SMEs, are benefiting from the use of publicly available HPC infrastructure in the region. This paper also provides a set of recommendations, of a policy nature, and required actions to increase HPC usage, based on the reality of the region. Therefore, the first step in the process was to understand the HPC landscape in the South East region of Ireland. Interviews were conducted with higher education institute (HEI) staff who were knowledgeable about the HPC infrastructure of their institutes and also about whether collaboration between the HEIs and businesses from the same region exists. The interview findings allowed the proposal of region-specific guidelines to improve the HPC landscape and collaboration in the region. The guidelines were analysed and refined in a focus group with key regional stakeholders from academia, industry and government, who have experience and expertise in high-technology transfer processes happening in the region.

The findings of the current study strongly suggest that HPC usage by SMEs in the South East region of Ireland is still incipient; and that HPC knowledge is currently inadequately transferred from the HEI hosting the HPC infrastructure to public and private sector organisations based in the region. The findings also demonstrate that there are no courses or training programmes available dedicated to HPC and that the level of collaboration between the HEI hosting the HPC infrastructure and industry in the region is minimal as regards HPC usage and projects. Therefore, there is a need to put specific targeted policies and actions, both from a regional government and HEI perspectives, in place to encourage SMEs to optimise their processes by using HPC.

This research is unique as it provides customised region-specific recommendations (RSR) and feasible actions to encourage industry, especially SMEs, to use HPC and collaborate around it. The literature review identified that there is a lack of studies that can inform policymakers to include HPC in their innovation agenda. Previous research studies specifically focussing on HPC policies are even more scarce. Most of the existing research pertaining to HPC focusses on the technical aspect of HPC; therefore, this research and paper bring a new dimension to existing HPC research. Even though this research was focussed on the South East of Ireland region, the model that generated the RSRs can be extrapolated and applied to other regions that need to develop their HPC landscape and the use of HPC among SMEs in their respective regions.

This paper aims at advancing a pragmatist perspective on entrepreneurial opportunities as an alternative to the traditional and predominant constructivist and objectivist perspectives. To this end, this paper advances a pragmatist definition of an opportunity and draws from empirical evidence to propose a pragmatist model of opportunity conception and exploitation.

A review of the entrepreneurial opportunity and pragmatism literatures yields a definition of an opportunity as a dynamic and unfolding experience which an entrepreneur conceives as a general market need to exploit it for financial or social gain. Drawing from this definition, and with the aim of developing a pragmatist model of an opportunity, a case study approach is applied to three radically innovative services conceived and developed by three high-performance computing (HPC) centers.

In each of the three cases, an entrepreneurial HPC center conceived a new, general market need (opportunity) and then acted to exploit it. Through its action, the HPC center learned something that enabled it to address barriers, develop an improvement or otherwise reconceive the opportunity. In turn, the HPC center learned more about and advanced the opportunity, and then acted again. After launching a new service based on the opportunity, the opportunity continued to evolve in response to the HPC center’s efforts and to market forces.

The pragmatist perspective and model of an opportunity can serve as a foundation for future pragmatist research into entrepreneurship and innovation. To this end, future studies could extend the model by examining in greater detail the acting-learning-reconceiving cycle, by exploring how an opportunity evolves and is reconceived after market launch and/or by investigating opportunity conception and exploitation within other types of markets.

From a pragmatist perspective, an opportunity is not some discrete object to be discovered. It is emergent and dynamic, and to the extent that it is “created”, it is never complete or finalized. It is experienced by the entrepreneur, and it continues to evolve, even after it has been launched as a new good or service.

The paper proposes novel value by advancing a pragmatist perspective on entrepreneurial opportunities. Such a perspective is an alternative to the constructivist and objectivist perspectives that have framed research into opportunities. The paper also proposes novel value by drawing from case study findings to propose a pragmatist model of opportunity conception and exploitation.

This paper aims to explore the key anchors of the National Innovation System shaping the nature of collaboration between academic high-performance computing centres (academic HPC centres) and small- to medium-sized enterprises (SMEs) working in the automotive and electronics sectors of the Danube region. With two main research questions, it discusses the importance of knowledge transfer and technology transfer for collaboration between University and Industry (U-I collaboration) in three groups of developmentally distinct countries: competitively advanced, competitively intermediate and competitively lagging. As main anchors of the innovation system, stable legal environment, exciting innovation policies and strong R&D funding are recognised.

A qualitative empirical study in 14 Danube region countries included 92 focus group participants, expert representatives of academic HPC centres and SMEs. The data were audio recorded, transcribed and analysed.

The findings show the main prerequisites of the framework conditions for efficient U-I collaboration evolve through a goal-oriented National Innovation Policy and developed and functioning legal environment supporting labour market and intellectual property (IP) protection and enforcement. Additionally, skilled people are needed to be able to operate with HPC, where it seems all the countries lack such skilled workforce. In competitively lagging countries, the high levels of brain drain exhibit strong impact to U-I collaboration.

Research into relationships between academic HPC centres and SMEs conducted was qualitative; therefore, limitations in terms of generalisation arise from it. On the other hand, the research is promising in terms of offering the guidance for policy makers who can use the findings when delivering innovation policy mix, adjusted to developmental level of own innovation ecosystem.

The study is among the pioneering work in U-I collaboration between academic HPC centres and SMEs from automotive and electronics industries in the Danube region. The research addresses the dynamics of collaboration and offers policy implications to strengthen the particular U-I collaboration.

本文旨在探究國家創新系統的主要支柱; 這些支柱決定了學術性的高速網路與計算中心 (註: 此為直譯) (以下簡稱學術高網算中心) 與於多瑙河地區的汽車製造業和電子產品行業內營運的中小型企業之間的合作性質。本文透過兩條主要的研究問題、去探討知識轉移和技術轉讓對大學與產業界之間的合作的重要性而這些產業是屬於在發展階段上三個明顯不同的國家組別裏的這三個組別是 競爭先進的、競爭性中級的和競爭落後的。穩定的法律環境、令人興奮的創新政策和強大的研究與開發資金被認為是創新系統的三個主要支柱。

研究人員在14個位於多瑙河地區的國家裏進行一個質性觀察研究研究涵蓋92個焦點小組參與者、來自學術高網算中心和中小型企業的專家代表。有關的數據被錄音繼而被轉寫下來最後被分析。

研究結果顯示效率高的大學產業界合作的框架條件的主要先決條件是透過一個以目標為導向的國家創新政策而逐漸形成繼而發展起來; 另外所需的條件是一個支援勞工市場、保障知識產權、並執行有關的法律的正常運作的法律環境。其次若想與學術高網算中心一起工作技術人才是必須的因學術高網算中心內的所有國家似乎欠缺技術勞動力。在落後於競爭對手的國家裏高度的人才外流對大學與產業界之間的合作會產生重大的影響。

由於研究採用的研究方法為質性研究法故研究結果、就普遍化的歸納而言是有其局限的。唯研究結果在實務方面有其作用因政策制定者在推行與科技進步與對策有關的策略時他們可把研究結果作為指引就其自身創新生態系統的發展水準而作出適當的調整。

本研究探討涉及學術高網算中心與於多瑙河地區的汽車製造業和電子產品行業內營運的中小型企業之間合作的大學產業界合作就此而言可說是開創性研究之一。本研究探究有關的大學產業界合作的變革動力並為政策制定者提供啟示以能強化有關的合作。

The purpose of this paper is to evaluate the use of a non‐expensive dynamic computing resource, consisting of a Beowulf class cluster and a NoW, as an educational and research infrastructure.

Clusters, built using commodity‐off‐the‐shelf (COTS) hardware components and free, or commonly used, software, provide an inexpensive computing resource to educational institutions. The Department of Informatics of TEI, Athens, has built a dynamic clustering system consisting of a Beowulf‐class cluster and a NoW called DYNER (DYNamic clustER). This paper evaluates the use of the DYNER system, as a platform for running the laboratory work of various courses (parallel computing, operating systems, distributed computing), as well as various parallel applications in the framework of research, which is in progress under on‐going research projects. Three distinct groups from the academic community of the TEI of Athens can benefit directly from the DYNER platform: the students of the Department of Informatics, the faculty members and researchers of the department, and researchers from other departments of the institution.

The results obtained were positive and satisfactory. The use of the dynamic cluster offers to the students new abilities regarding high performance computing, which will improve their potential for professional excellence.

The implications of this research study are that the students clarified issues, such as “doubling the number of processors does not mean doubling execution speed”, and learned how to build and configure a cluster without going deeply into the complexity of the software set‐up.

This research provides students with the ability to gain hands‐on experience on a not very common to them but useful platform, and faculty members – from a variety of disciplines – to get more computing power for their research.

This paper presents a dynamic clustering system where, its versatility and flexibility with respect to configuration and functionality, together with its dynamic, strong computational power, renders it to a very helpful tool for educational and research purposes.

The implementation of high performance computing (HPC) in business (especially small and medium-sized enterprises) is accompanied with mistrust to a certain extent, which has imposed the need for building of digital trust (DTrust) among stakeholders. The purpose of the present paper is to find out the ways on how to build and maintain such trust.

Analysis and critical reflection on previous research dealing with phenomena of digital transformation (DT), HPC, corporate digital responsibility (CDR) and DTrust have enabled the authors to design their own conceptual model as the answer to the research questions of how, and in what way, CDR influences DTrust.

The authors have determined that the previous researches pointed to the existence of the correlation between CDR and DTrust although they did not elaborate on this explicitly. It was shown that the DT itself directly influences trust and sustainability. The indirect influence DT has via CDR was the task the authors undertook through designing a new conceptual model within whose frame the authors separately presented the influence of total CDR on DTrust as well as of the specific CDR dimensions on the particular dimensions of DTrust.

The authors tried to offer the conceptual model that exactly determines the relation of individual dimensions of the processed phenomena by analyzing theoretical and empirical researches carried out so far, and eo ipso shed more light on their mutual relation. The authors firmly believe that this paper offers a useful frame for further empirical researches.

This paper aims to explore the dynamic relationships between high-performance computing centres (HPC centres) and small-to-medium-sized enterprises (SMEs) working in the automotive sector.

An empirical study was conducted in 14 European countries with a total of 92 participants, representatives of HPC centres and SMEs. Data were collected through focus groups.

Findings show there is a distinct manner of shaping collaboration and cooperation networks between both spheres. In shaping the relationships, cognitive frames play a role through specific values involved share. Institutions also play an important role.

Research into relationships between HPC centres and SMEs conducted was qualitative; therefore, limitations arise on data not being able to be generalized. The cultural aspect is to be taken into account when conducting further studies.

Findings of this study can be used by policymakers, especially those interested in regional innovation. The results can be of use when tailoring innovation policies, especially when it comes to enhancing the regional and extra-regional cooperation between HPC centres and SMEs.

To the best of authors’ knowledge, this paper is one of the first research contributions to analyse the relationships between HPC centres and SMEs from the automotive sector in selected European countries.