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[HTML][HTML] Quantum materials for energy-efficient neuromorphic computing: Opportunities and challenges
A Hoffmann, S Ramanathan, J Grollier, AD Kent… - APL Materials, 2022 - pubs.aip.org
Neuromorphic computing approaches become increasingly important as we address future
needs for efficiently processing massive amounts of data. The unique attributes of quantum …
needs for efficiently processing massive amounts of data. The unique attributes of quantum …
The principles of building a machine-learning-based service for converting sequential code into parallel code
I Viktorov, R Gibadullin - E3S Web of Conferences, 2023 - e3s-conferences.org
This article presents a novel approach for automating the parallelization of programming
code using machine learning. The approach centers on a two-phase algorithm …
code using machine learning. The approach centers on a two-phase algorithm …
Detection and tracking contagion using IoT-edge technologies: Confronting COVID-19 pandemic
The ongoing pandemic of Corona-Virus (COVID-19) induced by the coming forth category of
SARS-CoV-2, has terrified the worldwide human health. Primarily, COVID-19 challenges …
SARS-CoV-2, has terrified the worldwide human health. Primarily, COVID-19 challenges …
[PDF][PDF] A Predictive Analysis of Retail Sales Fore-casting using Machine Learning Techniques
M Sajawal, S Usman, HS Alshaikh… - … Research Journal of …, 2022 - researchgate.net
In a retail industry, sales forecasting is an important part related to supply chain
management and operations between the retailer and manufacturers. The abundant growth …
management and operations between the retailer and manufacturers. The abundant growth …
[HTML][HTML] Разработка синтаксического дерева для автоматизированного транслятора последовательного программного кода в параллельный код для …
ИВ Викторов, РФ Гибадуллин - Программные системы и …, 2023 - cyberleninka.ru
Появление многоядерных архитектур чрезвычайно стимулировало область
параллельных вычислений. Однако разработка параллельной программы и ручное …
параллельных вычислений. Однако разработка параллельной программы и ручное …
[PDF][PDF] AAP4All: An Adaptive Auto Parallelization of Serial Code for HPC Systems.
MU Ashraf, FA Eassa, LJ Osterweil… - … Automation & Soft …, 2021 - researchgate.net
High Performance Computing (HPC) technologies are emphasizing to increase the system
performance across many disciplines. The primary challenge in HPC systems is how to …
performance across many disciplines. The primary challenge in HPC systems is how to …
[PDF][PDF] Comparative analysis of machine learning techniques for predicting air pollution
The modern and motorized way of life has cultured air pollution. Air pollution has become
the biggest rival of robust living. This situation is becoming more lethal in develo** …
the biggest rival of robust living. This situation is becoming more lethal in develo** …
A Comparative Study of Parallel and Distributed Big Data programming models: Methodologies, Challenges and Future Directions
FG Hussain, M Wasim, A Nasir - Lahore Garrison University …, 2023 - lgurjcsit.lgu.edu.pk
According to a survey conducted in 2021, users share about 4 petabytes of data on
Facebook daily. The exponential increase in data (called big data) plays a vital role in …
Facebook daily. The exponential increase in data (called big data) plays a vital role in …
[PDF][PDF] A Machine Learning Based Approach for the Detection of DDoS Attacks on Internet of Things Using CICDDoS2019 Dataset-PortMap
In today's technological era, the Internet has become ubiquitous, playing a vital role in our
daily lives. With the exponential growth of IoT innovation, millions of interconnected IoT …
daily lives. With the exponential growth of IoT innovation, millions of interconnected IoT …
[PDF][PDF] A Systematic Review on Integrating Parallel Computing Techniques for High-Performance Computing: Challenges and Best Practices
P Helstab - helstab.cc
CONTEXT: High Performance Computing (HPC) is one of the most interdisciplinary fields
within computer science. However, its significant complexity presents considerable …
within computer science. However, its significant complexity presents considerable …