Research in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of …
This article presents a taxonomy and represents a repository of open problems in computing
for numerically and logically intensive problems in a number of disciplines that have to …
for numerically and logically intensive problems in a number of disciplines that have to …
Scalable distributed computing hierarchy: Cloud, fog and dew computing
The paper considers the conceptual approach for organization of the vertical hierarchical
links between the scalable distributed computing paradigms: Cloud Computing, Fog …
links between the scalable distributed computing paradigms: Cloud Computing, Fog …
Interconnection networks in petascale computer systems: A survey
R Trobec, R Vasiljević, M Tomašević… - ACM Computing …, 2016 - dl.acm.org
This article provides background information about interconnection networks, an analysis of
previous developments, and an overview of the state of the art. The main contribution of this …
previous developments, and an overview of the state of the art. The main contribution of this …
[图书][B] Introduction to parallel computing: from algorithms to programming on state-of-the-art platforms
Advancements in microprocessor architecture, interconnection technology, and software
development have fueled rapid growth in parallel and distributed computing. However, this …
development have fueled rapid growth in parallel and distributed computing. However, this …
Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms …
This article describes a teaching strategy that synergizes computing and management,
aimed at the running of complex projects in industry and academia, in the areas of civil …
aimed at the running of complex projects in industry and academia, in the areas of civil …
Towards methods for systematic research on big data
Big Data is characterized by the five V's-of Volume, Velocity, Variety, Veracity and Value.
Research on Big Data, that is, the practice of gaining insights from it, challenges the …
Research on Big Data, that is, the practice of gaining insights from it, challenges the …
Practical ANN prediction models for the axial capacity of square CFST columns
F Đorđević, SM Kostić - Journal of Big Data, 2023 - Springer
In this study, two machine-learning algorithms based on the artificial neural network (ANN)
model are proposed to estimate the ultimate compressive strength of square concrete-filled …
model are proposed to estimate the ultimate compressive strength of square concrete-filled …
Paradigm shift in big data supercomputing: dataflow vs. controlflow
The paper discusses the shift in the computing paradigm and the programming model for
Big Data problems and applications. We compare DataFlow and ControlFlow programming …
Big Data problems and applications. We compare DataFlow and ControlFlow programming …
A runtime job scheduling algorithm for cluster architectures with dataflow accelerators
N Korolija, D Bojić, AR Hurson, V Milutinović - Advances in computers, 2022 - Elsevier
This article discusses specialized computer cluster architectures for high performance
computing that include both control-flow and DataFlow components, as well as their runtime …
computing that include both control-flow and DataFlow components, as well as their runtime …
New benchmarking methodology and programming model for big data processing
Big data processing is becoming a reality in numerous real-world applications. With the
emergence of new data intensive technologies and increasing amounts of data, new …
emergence of new data intensive technologies and increasing amounts of data, new …