Cost-effectiveness analysis of a shifted completely connected network for massively parallel computer systems

Cost-effectiveness analysis of a shifted completely connected network for massively parallel computer systems | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Cost-effectiveness analysis of a shifted completely connected network for massively parallel computer systems Mohammed N. M. Ali, M. M. Hafizur Rahman This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3927103/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The Cost-Effectiveness Analysis (CEA) is one of the most important measures to compare the effect of the newly invented technologies to their costs. CEA is used to evaluate the cost of two or more new products based on the benefits that have been obtained from them. Thus, it is crucial to analyze the cost-effectiveness (CE) of any new element before starting the production process. Taking a broad view of costs and benefits is important to make a perfect CEA that provide an evaluation for the long-term effects of the new creations. CEA is applicable to be used in evaluating all new products and technologies in all sectors including computer science. In this paper, the CE of a proposed parallel computer system built by using a shifted completely connected network (SCCN) will be analyzed. This system is composed of multiple levels, the cost of creating each level will be compared to the obtained benefits of this level. Besides, each level will be compared also to other networks with almost the same number of processing elements (PEs). To evaluate this network, three parameters will be calculated including the cost-effectiveness factor (CEF), time cost-effectiveness factor (TCEF), and static-cost-effectiveness analysis. Each level of SCCN showed the lowest cost-effectiveness analysis over the two-dimensional networks, however, it has a little bit higher value of CEA compared to the three-dimensional networks. Cost-Effectiveness Factor (CEF) Time Cost-Effectiveness Factor (TCEF) Static Cost-Effectiveness Analysis Massively Parallel Computer Systems Shifted Completely Connected Network (SCCN). Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3927103","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":272749556,"identity":"23f3cc73-ed1d-4712-8cdb-84d9eab11341","order_by":0,"name":"Mohammed N. M. 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