Results 61 to 70 of about 3,147,688 (366)

How Many Cooks Spoil the Soup? [PDF]

, 2016
In this work, we study the following basic question: "How much parallelism does a distributed task permit?" Our definition of parallelism (or symmetry) here is not in terms of speed, but in terms of identical roles that processes have at the same time in
D Alistarh, D Angluin, D Angluin, D Doty, D Malkhi, D Peleg, H Attiya, H-L Chen, H-L Chen, I Chatzigiannakis, J Aspnes, J Czyzowicz, J Suomela, K-T Förster, M Yamashita, NA Lynch, O Michail, O Michail, P Flocchini, Y Afek   +19 more
core   +2 more sources

Computational Simulations of Metal–Organic Frameworks to Enhance Adsorption Applications

Advanced Materials, EarlyView.
This review highlights the significance of molecular simulations in expanding the understanding of metal–organic frameworks (MOFs) and improving their gas adsorption applications. The historical development and implementation of molecular simulations in the MOF field are given, high‐throughput computational screening studies used to unlock the ...
Hilal Daglar, Hasan Can Gulbalkan, Gokhan Onder Aksu, Seda Keskin   +3 more
wiley   +1 more source

Benefits of Open Quantum Systems for Quantum Machine Learning

Advanced Quantum Technologies, EarlyView., 2023
Quantum machine learning (QML), poised to transform data processing, faces challenges from environmental noise and dissipation. While traditional efforts seek to combat these hindrances, this perspective proposes harnessing them for potential advantages. Surprisingly, under certain conditions, noise and dissipation can benefit QML.
María Laura Olivera‐Atencio, Lucas Lamata, Jesús Casado‐Pascual   +2 more
wiley   +1 more source

Parallelism Strategies for Big Data Delayed Transfer Entropy Evaluation

Algorithms, 2019
Generated and collected data have been rising with the popularization of technologies such as Internet of Things, social media, and smartphone, leading big data term creation. One class of big data hidden information is causality.
Jonas R. Dourado, Jordão Natal de Oliveira Júnior, Carlos D. Maciel   +2 more
doaj   +1 more source

Implementation and Evaluation of Dynamic Task Allocation for Human–Robot Collaboration in Assembly

Applied Sciences, 2022
Human–robot collaboration is becoming increasingly important in industrial assembly. In view of high cost pressure, resulting productivity requirements, and the trend towards human-centered automation in the context of Industry 5.0, a reasonable ...
Christoph Petzoldt, Dario Niermann, Emily Maack, Marius Sontopski, Burak Vur, Michael Freitag   +5 more
doaj   +1 more source

Hierarchical incremental class learning with reduced pattern training [PDF]

, 2006
Hierarchical Incremental Class Learning (HICL) is a new task decomposition method that addresses the pattern classification problem. HICL is proven to be a good classifier but closer examination reveals areas for potential improvement.
Bao, C, Guan, SU, Sun, RT
core   +1 more source

Brain‐Inspired In‐Memory Data Pruning and Computing with TaOx Mem‐Selectors

Advanced Materials, EarlyView.
In article number 2502168, Zhongrui Wang, Xiaoxin Xu, Dashan Shang, and co‐workers present the first nanoscale Mem‐Selector device that integrates both nonvolatile resistive memory and volatile threshold switching functionalities for visual data pruning.
Yi Li, Jinru Lai, Songqi Wang, Ning Lin, Xu Zheng, Wenxuan Sun, Danian Dong, Xiqing Xu, Haili Ma, Feng Zhang, Xiaojuan Qi, Zhongrui Wang, Xiaoxin Xu, Dashan Shang, Han Wang, Ming Liu   +15 more
wiley   +1 more source

Executing linear algebra kernels in heterogeneous distributed infrastructures with PyCOMPSs

Oil & Gas Science and Technology, 2018
Python is a popular programming language due to the simplicity of its syntax, while still achieving a good performance even being an interpreted language. The adoption from multiple scientific communities has evolved in the emergence of a large number of
Amela Ramon, Ramon-Cortes Cristian, Ejarque Jorge, Conejero Javier, Badia Rosa M.   +4 more
doaj   +1 more source

Memory and Parallelism Analysis Using a Platform-Independent Approach

, 2019
Emerging computing architectures such as near-memory computing (NMC) promise improved performance for applications by reducing the data movement between CPU and memory. However, detecting such applications is not a trivial task.
Awan, Ahsan Javed, Corda, Stefano, Corporaal, Henk, Jordans, Roel, Singh, Gagandeep, Stuijk, Sander   +5 more
core   +1 more source

A Comparison of Big Data Frameworks on a Layered Dataflow Model [PDF]

, 2016
In the world of Big Data analytics, there is a series of tools aiming at simplifying programming applications to be executed on clusters. Although each tool claims to provide better programming, data and execution models, for which only informal (and ...
Aldinucci, Marco, Drocco, Maurizio, Misale, Claudia, Tremblay, Guy   +3 more
core   +2 more sources