Results 31 to 40 of about 253,577 (250)
Parallelizing non-vectorizable loops for MIMD machines [PDF]
, 1990 Parallelizing a loop for MIMD machines can be described as a process of partitioning it into a number of relatively independent subloops. Previous approaches to partitioning non-vectorizable loops were mainly based on iteration pipelining which ...
Kim, Ki-chang, Nicolau, Alexandru
core
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Advanced Functional Materials, EarlyView.Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
BusinessesThis paper examines the intersection between Christian theological principles and contemporary cybersecurity challenges, with a focus on the specific vulnerabilities and responsibilities of faith-based organizations.
Laura A. Jones
doaj +1 more source
A Scheduling Method of Moldable Parallel Tasks Considering Speedup and System Load on the Cloud
IEEE Access, 2019 The moldable parallel task (MPT) is a kind of parallel task that their sub-tasks hold the resources exclusively, which has been widely used in different areas. Our paper focuses on the scheduling of moldable tasks when every sub-task supports time-slice.
Jianmin Li, Ying Zhong, Xin Zhang
doaj +1 more source
A method for real-time memory efficient implementation of blob detection in large images [PDF]
Serbian Journal of Electrical Engineering, 2017 In this paper we propose a method for real-time blob detection in large images with low memory cost. The method is suitable for implementation on the specialized parallel hardware such as multi-core platforms, FPGA and ASIC.
Petrović Vladimir L. +1 more
doaj +1 more source
Automatically configuring parallelism for hybrid layouts [PDF]
, 2019 Distributed processing frameworks process data in parallel by dividing it into multiple partitions and each partition is processed in a separate task. The number of tasks is always created based on the total file size.
Abelló Gamazo, Alberto +4 more
core +1 more source
Predicting Atomic Charges in MOFs by Topological Charge Equilibration
Advanced Functional Materials, EarlyView.An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi +2 more
wiley +1 more source
Fine-grain loop scheduling for MIMD machines [PDF]
, 1990 Previous algorithms for parallelizing loops on MIMD machines have been based on assigning one or more loop iterations to each processor, introducing synchronization as required.
Brownhill, Carrie J. +2 more
core
Introducing Parallelism to the Ranges TS [PDF]
, 2018 The current interface provided by the C++17 parallel algorithms poses some limitations with respect to parallel data access and heterogeneous systems, such as personal computers and server nodes with GPUs, smartphones, and embedded System on a Chip ...
Brown, Gordon +5 more
core +1 more source
Atomic Layer Deposition in Transistors and Monolithic 3D Integration
Advanced Functional Materials, EarlyView.Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu +5 more
wiley +1 more source