Region-specific guidelines to encourage SMEs to use high performance computing

Author:

Botelho Junior Sergio,O’Gorman Bill

Abstract

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.

Publisher

Emerald

Subject

Management of Technology and Innovation,Information Systems and Management,Computer Networks and Communications,Information Systems,Management Information Systems

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3