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Keyword: HPC
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Open AccessArticle
5 Pages, 738 KB Download PDF

A Proposed Architecture for Parallel HPC-based Resource Management System for Big Data Applications

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 1, Page # 40–44, 2019; DOI: 10.25046/aj040105
Abstract:

Big data can be considered to be at the forefront of the present and future research activities. The volume of data needing to be processed is growing dramatically in both velocity and variety. In response, many big data technologies have emerged to tackle the challenges of collecting, processing and storing such large-scale datasets. High-performance computing…

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(This article belongs to the SP6 (Special Issue on Recent Advances in Engineering Systems 2018-19) & Section Software Engineering in Computer Science (CSE))
Open AccessArticle
11 Pages, 1,049 KB Download PDF

High-Performance Computing: A Cost Effective and Energy Efficient Approach

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 6, Page # 1598–1608, 2020; DOI: 10.25046/aj0506191
Abstract:

The world is witnessing unprecedented advancements in ICT (Information & Communication Technology) related fields. These advancements are further boosted with the emergence of big data. It goes without saying that big data requires two major operations: storage and processing. The latter is usually provided through High-Performance Computing (HPC) which is delivered through two main venues:…

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(This article belongs to Section Information Systems in Computer Science (CIS))
Open AccessArticle
7 Pages, 810 KB Download PDF

The Chimera and the Cyborg

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 2, Page # 1–7, 2019; DOI: 10.25046/aj040201
Abstract:

High Performance Computing (HPC) systems offer excellent metrics for speed and efficiency when using bare metal hardware, a high speed interconnects, and massively parallel applications. However, this leaves out a significant portion of scientific computational tasks, namely high throughput computing tasks that can be trivially parallelized and scientific workflows that require their own well-defined software…

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(This article belongs to the SP5 (Special Issue on Multidisciplinary Sciences and Engineering 2018) & Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
5 Pages, 1,524 KB Download PDF

Applying Machine Learning and High Performance Computing to Water Quality Assessment and Prediction

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 6, Page # 285–289, 2017; DOI: 10.25046/aj020635
Abstract:

Water quality assessment and prediction is a more and more important issue. Traditional ways either take lots of time or they can only do assessments. In this research, by applying machine learning algorithm to a long period time of water attributes’ data; we can generate a decision tree so that it can predict the future…

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(This article belongs to the SP4 (Special issue on Advancement in Engineering Technology 2017-18) & Section Environmental Engineering (EEV))

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