Data science and Machine learning in the Clouds: A Perspective for the Future

HB Barua - arxiv preprint arxiv:2109.01661, 2021 - arxiv.org
As we are fast approaching the beginning of a paradigm shift in the field of science, Data
driven science (the so called fourth science paradigm) is going to be the driving force in …

Performance and energy efficiency analysis of reverse time migration on a FPGA platform

JC Bittencourt, JR Oliveira… - 2019 IEEE/ACM …, 2019 - ieeexplore.ieee.org
Reverse time migration (RTM) modeling is a computationally intensive component in the
seismic processing workflow of oil and gas exploration, often demanding the manipulation of …

[HTML][HTML] Architectural approaches to overcome challenges in the development of data-intensive systems

A Dimov, S Emanuilov, B Bontchev… - Human Factors in …, 2022 - books.google.com
Orientation of modern software systems towards data-intensive processing raises new
difficulties in software engineering on how to build and maintain such systems. Some of the …

Cloud big data mining and analytics: Bringing greenness and acceleration in the cloud

HB Barua, KC Mondal - Machine Learning for Data Science Handbook …, 2023 - Springer
Big data is gaining overwhelming attention since the last decade. Almost all the fields of
science and technology have experienced a considerable impact from it. The cloud …

[PDF][PDF] OpenCL and CUDA Comparison of MapReduce Performance on Distributed Heterogeneous Platform through Integration with Hadoop Cluster

V Karovič, M Kaźmierczakb, O Pankivb… - Proceedings of the …, 2021 - ceur-ws.org
An effective processing of Big Data in various application areas is an important task today.
Modern development of information technology provides the ability to calculate a large …

EPSim-C: A parallel epoch-based cycle-accurate microarchitecture simulator using cloud computing

M Kim, SW Kim, Y Han - Electronics, 2019 - mdpi.com
Recently, computing platforms have been being configured on a large scale to satisfy the
diverse requirements of emerging applications like big data and graph processing, neural …

A GPU-accelerated parallel network traffic analysis system

JJ Hu, RF An, LH Zhu - International Journal of Wireless …, 2015 - inderscienceonline.com
With the rapid increasing of network scale, the size of traffic data also expands a lot. In
traditional traffic data analysis, there are some problems, such as high computation …

[PDF][PDF] The Role Of GPUs In Big Data Scientific Software Using BAXdem

A Patrikar - 2018 - wwwiti.cs.uni-magdeburg.de
Trends show a shift from batch to stream processing, less to more parallel hardware, from
historical analytics to real-time analytics, big data to fast data frameworks. Despite the …

Energiezuinige verdeling van taken over verschillende processoren in een'embedded'computersysteem

RA Meenhuis - 2020 - essay.utwente.nl
Computers doen bijna niets anders dan opdrachten verwerken, en het liefst zo snel
mogelijk. Om dit te kunnen doen heeft een computer vaak meerdere'processing units'. Dit …

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A Patrikar