Results 31 to 40 of about 7,208 (264)

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

In‐Memory Euclidean Distance Computation in a Stacked Memristor Crossbar for Hardware Self‐Organizing Maps

Advanced Functional Materials, EarlyView.
A stacked memristor crossbar architecture is presented that enables direct in‐memory computation of Euclidean distance through intrinsic current subtraction at a shared middle electrode. By physically encoding weights and squared weights in vertically aligned layers, the system realizes energy‐efficient self‐organizing map learning, demonstrating ...
Jinwoo Park, Hyungjin Kim
wiley   +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, Taoyu Zou, Cheng‐Yan Xu, Liang Zhen, Yang Li, Yong‐Young Noh   +5 more
wiley   +1 more source

Light‐Induced Entropy for Secure Vision

Advanced Materials, EarlyView.
This work realized a ternary true random number generator by exploiting stochastic traps emerging within multiple junction interfaces, and quantitatively validated the generation of high‐quality random numbers. Furthermore, it successfully demonstrated diverse applications, including AI‐resilient image security, thereby providing a valuable guide for ...
Juhyung Seo, Seungme Kang, Chaehyun Kim, Taehyun Park, Youngwoo Yoo, Yeong Kwon Kim, Wonjun Shin, Byung Chul Jang, Young‐Joon Kim, Hocheon Yoo   +9 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

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

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Task Mapping and Scheduling on RISC-V MIMD Processor With Vector Accelerator Using Model-Based Parallelization

IEEE Access
In this paper, we propose a model-based workflow to generate parallel code on a multiple instruction stream, multiple data stream (MIMD) processor with vector accelerator (MIMDV) from a Simulink model. Solving data- and task-parallelism is crucial during
Shanwen Wu, Satoshi Kumano, Kei Marume, Masato Edahiro   +3 more
doaj   +1 more source

Surface Passivation of HgTe Nanocrystals Enabling EG/2 Open‐Circuit Voltage and Their Coupling to Dielectric Cavity for Narrow Detection

Advanced Materials, EarlyView.
This article explores how the integration of a thin shell, combined with optimized surface chemistry, enables the design of photodiodes based on short‐wave infrared HgTe nanocrystals. These photodiodes achieve an open‐circuit voltage greater than half the optical bandgap, which drastically reduces dark current. The article also explores the integration
Albin Colle, Clement Gureghian, Dario Mastrippolito, Mariarosa Cavallo, Jiho Roh, Marco Paye, Tommaso Gemo, Diogo Almeida, Adrien Khalili, Yoann Prado, Xavier Lafosse, Sandrine Ithurria, Mathieu G. Silly, Pavel Dudin, James K. Utterback, José Avila, Debora Pierucci, Emmanuel Lhuillier   +17 more
wiley   +1 more source

Hardware acceleration of number theoretic transform for zk‐SNARK

Engineering Reports, EarlyView., 2023
An FPGA‐based hardware accelerator with a multi‐level pipeline is designed to support the large‐bitwidth and large‐scale NTT tasks in zk‐SNARK. It can be flexibly scaled to different scales of FPGAs and has been equipped in the heterogeneous acceleration system with the help of HLS and OpenCL.
Haixu Zhao, Dong Ding, Feng Wang, Pengcheng Hua, Ning Wang, Qin Wu, Zhilei Chai   +6 more
wiley   +1 more source