Results 91 to 100 of about 21,055,470 (353)

Multi‐Diseases Detection with Memristive System on Chip

open access: yesAdvanced Intelligent Systems, EarlyView.
A robust disease detection system, which is capable of the early prevention of acute myocardial infarction and the detection of liver cancer, is implemented on a memristive system‐on‐chip (SoC). A fully integrated SoC is utilized to ensure the system's portability, low latency, high accuracy, and energy efficiency for medical analysis.
Zihan Wang   +7 more
wiley   +1 more source

Nanomechanical Systems for Reservoir Computing Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
Nanoelectromechanical systems (NEMS) are known for their strong nonlinear response, which can be conducive for reservoir computing. In this work, the authors build an NEMS‐based reservoir and investigate the classification accuracy as a function of drive levels and operation points.
Enise Kartal   +7 more
wiley   +1 more source

Data Parallel Skeletons in Java

open access: yesProcedia Computer Science, 2012
AbstractIn the past years, multi-core processors and clusters of multi-core processors have emerged to be promising approaches to meet the growing demand for computing performance. They deliver scalable performance, certainly at the costs of tedious and complex parallel programming.
Steffen Ernsting, Herbert Kuchen
openaire   +2 more sources

Energy‐Efficient Knapsack Optimization Using Probabilistic Memristor Crossbars

open access: yesAdvanced Intelligent Systems, EarlyView.
The knapsack problem, a nondeterministic polynomial‐time (NP)‐hard combinatorial optimization problem, is solved energy‐efficiently. This work presents an algorithm‐hardware co‐design and implementation for practical (non‐ideal) NP‐hard problems with destabilizing self‐feedback (non‐zero diagonal) and non‐binary Hamiltonian representations under analog
Jinzhan Li, Suhas Kumar, Su‐in Yi
wiley   +1 more source

A Pipeline-Based ODE Solving Framework

open access: yesIEEE Access
The traditional parallel solving methods of ordinary differential equations (ODE) are mainly classified into task-parallelism, data-parallelism, and instruction-level parallelism.
Ruixia Cao, Shangjun Hou, Lin Ma
doaj   +1 more source

Parallel and Distributed Performance of a Depth Estimation Algorithm [PDF]

open access: yes, 2013
Expansion of dataset sizes and increasing complexity of processing algorithms have led to consideration of parallel and distributed implementations. The rationale for distributing the computational load may be to thin-provision computational resources ...
Calder, Brian R.
core   +1 more source

Configurable Kernel Map Implementation in Memristor Crossbar for Convolution Neural Network

open access: yesAdvanced Intelligent Systems, EarlyView.
A configurable kernel map implementation using a memristor crossbar array is presented. The crossbar array area can be configured based on the number of read cycles per inference, which directly affects the inference speed. The algorithm underlying this scheme is described, and convolutional neural network operations are experimentally validated using ...
Gyeonghae Kim   +3 more
wiley   +1 more source

Bioinspired Fully On‐Chip Learning Implemented on Memristive Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
This work proposes a memristive neural network based on van der Waals ferroelectric memristors and contrastive Hebbian learning, enabling fully on‐chip learning. The system achieves over 98% accuracy in pattern recognition with low power consumption (0.321 nJ/image) and high robustness, paving the way for efficient, bioinspired neuromorphic computing ...
Zhixing Wen   +9 more
wiley   +1 more source

Response errors explain the failure of independent-channels models of perception of temporal order

open access: yesFrontiers in Psychology, 2012
Independent-channels models of perception of temporal order (also referred to as threshold models or perceptual latency models) have been ruled out because two formal properties of these models (monotonicity and parallelism) are not borne out by data ...
Miguel A García-Pérez   +1 more
doaj   +1 more source

A Reliability Study of Parallelized VNF Chaining

open access: yes, 2017
In this paper, we study end-to-end service reliability in Data Center Networks (DCN) with flow and Service Function Chains (SFCs) parallelism. In our approach, we consider large flows to i) be split into multiple parallel smaller sub-flows; ii) SFC along
Engelmann, Anna, Jukan, Admela
core   +1 more source

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