Fighting the big bad wolf of global trends: technology transfer between HPC centres and SMEs

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tamara Besednjak Valič ◽  
Janez Kolar ◽  
Urša Lamut

Purpose 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. Design/methodology/approach 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 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 limitations/implications 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. Practical implications 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. Originality/value 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.

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Emmanuel Imuetinyan Aghimien ◽  
Lerato Millicent Aghimien ◽  
Olutomilayo Olayemi Petinrin ◽  
Douglas Omoregie Aghimien

Purpose 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. Design/methodology/approach 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 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. Research limitations/implications The study assessed a single database for the search of related studies. Originality/value 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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sergio Botelho Junior ◽  
Bill O’Gorman

Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dejan Jelovac ◽  
Čedomir Ljubojević ◽  
Ljubomir Ljubojević

Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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.


Author(s):  
David Lowther ◽  
Vahid Ghorbanian ◽  
Mohammad Hossain Mohammadi ◽  
Issah Ibrahim

Purpose The design of electromagnetic systems for a variety of applications such as induction heating, electrical machines, actuators and transformers requires the solution of a multi-physics problem often involving thermal, structural and mechanical coupling to the electromagnetic system. This results in a complex analysis system embedded within an optimization process. The appearance of high-performance computing systems over the past few years has made coupled simulations feasible for the design engineer. When coupled with surrogate modelling techniques, it is possible to significantly reduce the wall clock time for generating a complete design while including the impact of the multi-physics performance on the device. Design/methodology/approach An architecture is proposed for linking multiple singe physics analysis tools through the material models and a controller which schedules the execution of the various software tools. The combination of tools is implemented on a series of computational nodes operating in parallel and creating a “super node” cluster within a collection of interconnected processors. Findings The proposed architecture and job scheduling system can allow a parallel exploration of the design space for a device. Originality/value The originality of the work derives from the organization of the parallel computing system into a series of “super nodes” and the creation of a materials database suitable for multi-physics interactions.


2021 ◽  
Vol 92 ◽  
pp. 01015
Author(s):  
Vladimír Hojdik

Research background: Research in this paper is based on analysis of data and documents published by official institutions and relevant studies and papers. Purpose of the article: This paper assesses how the pandemic situation influenced automotive sector in countries of Europe. It evaluates differences between European countries, in terms of automotive industry operation after COVID-19 crisis. It also outlines global trends and challenges for future industry development. Methods: In the research, we use mainly general methods, especially analysis, synthesis and comparison. Among the specific methods, we use statistical methods to obtain, process, explain and interpret data. Findings & Value added: In the findings we present the impact of COVID-19 on automotive industry in European countries. In the end, we present thoughts on globalization challenges for automotive industry, and possible ways for its future development.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Davide Aloini ◽  
Loretta Latronico ◽  
Luisa Pellegrini

Purpose In the past decade, in the space industry, many initiatives intended at offering open access to big data from space multiplied. Therefore, firms started adopting business models (BMs) which lever on digital technologies (e.g. cloud computing, high-performance computing and artificial intelligence), to seize these opportunities. Within this scenario, this article aims at answering the following research question: which digital technologies do impact which components the BM is made of? Design/methodology/approach An exploratory multiple case study approach was used. Three cases operating in the space industry that lever on digital technologies to implement their business were analyzed. Despite concerns regarding reliability and validity, multiple case studies allow greater understanding of causality, and show superiority respect to quantitative studies for theory building. Findings Big data, system integration (artificial intelligence, high-performance computing) and cloud computing seem to be pivotal in the space industry. It emerges that digital technologies involve all the different areas and components of the BM. Originality/value This paper sheds light on the impact that digital technologies have on the different BM components. It is only understanding which technologies can support the value proposition, which technologies make the infrastructural part able to support this proposition, which technologies may be helpful for delivering and communicating this value to customers and which technologies may help firms to appropriate the value that it is possible to seize the impact of digital technologies on BM.


Author(s):  
Mark H. Ellisman

The increased availability of High Performance Computing and Communications (HPCC) offers scientists and students the potential for effective remote interactive use of centralized, specialized, and expensive instrumentation and computers. Examples of instruments capable of remote operation that may be usefully controlled from a distance are increasing. Some in current use include telescopes, networks of remote geophysical sensing devices and more recently, the intermediate high voltage electron microscope developed at the San Diego Microscopy and Imaging Resource (SDMIR) in La Jolla. In this presentation the imaging capabilities of a specially designed JEOL 4000EX IVEM will be described. This instrument was developed mainly to facilitate the extraction of 3-dimensional information from thick sections. In addition, progress will be described on a project now underway to develop a more advanced version of the Telemicroscopy software we previously demonstrated as a tool to for providing remote access to this IVEM (Mercurio et al., 1992; Fan et al., 1992).


MRS Bulletin ◽  
1997 ◽  
Vol 22 (10) ◽  
pp. 5-6
Author(s):  
Horst D. Simon

Recent events in the high-performance computing industry have concerned scientists and the general public regarding a crisis or a lack of leadership in the field. That concern is understandable considering the industry's history from 1993 to 1996. Cray Research, the historic leader in supercomputing technology, was unable to survive financially as an independent company and was acquired by Silicon Graphics. Two ambitious new companies that introduced new technologies in the late 1980s and early 1990s—Thinking Machines and Kendall Square Research—were commercial failures and went out of business. And Intel, which introduced its Paragon supercomputer in 1994, discontinued production only two years later.During the same time frame, scientists who had finished the laborious task of writing scientific codes to run on vector parallel supercomputers learned that those codes would have to be rewritten if they were to run on the next-generation, highly parallel architecture. Scientists who are not yet involved in high-performance computing are understandably hesitant about committing their time and energy to such an apparently unstable enterprise.However, beneath the commercial chaos of the last several years, a technological revolution has been occurring. The good news is that the revolution is over, leading to five to ten years of predictable stability, steady improvements in system performance, and increased productivity for scientific applications. It is time for scientists who were sitting on the fence to jump in and reap the benefits of the new technology.


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