Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Parallel Processing01:20

Parallel Processing

407
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
407
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

861
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the...
861
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

863
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
863
Network Function of a Circuit01:25

Network Function of a Circuit

445
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
445
Ampere's Law: Problem-Solving01:31

Ampere's Law: Problem-Solving

4.0K
Ampere's law states that for any closed looped path, the line integral of the magnetic field along the path equals the vacuum permeability times the current enclosed in the loop. If the fingers of the right hand curl along the direction of the integration path, the current in the direction of the thumb is considered positive. The current opposite to the thumb direction is considered negative.
Specific steps need to be considered while calculating the symmetric magnetic field distribution...
4.0K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

222
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
222

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Predictors of fertility preservation awareness and willingness among college students and the general population in Henan, China: a cross-sectional study.

Frontiers in public health·2026
Same author

Effects of Tai Chi combined with dietary intervention on health-promoting lifestyle and metabolic and reproductive outcomes in female college students with polycystic ovary syndrome: a randomized controlled trial.

Frontiers in endocrinology·2026
Same author

Discriminating vascular parkinsonism from early-stage postural instability gait difficulty subtype dominant Parkinson's disease: a dual-task gait analysis using wearable sensors.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology·2026
Same author

NSP9 is a key virulence determinant in highly pathogenic PRRSV-mediated thymic injury via synergistic activation of apoptotic and metabolic pathways.

Veterinary microbiology·2026
Same author

The impact of follicle-stimulating hormone receptor mutations on female ovarian function and pregnancy outcomes: a systematic review†.

Biology of reproduction·2025
Same author

LAA orifice area assessed by CTA is associated with silent cerebral embolism in patients with atrial fibrillation catheter ablation.

International journal of cardiology·2025

Related Experiment Video

Updated: Nov 3, 2025

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

5.3K

A Multi-Phase Based Multi-Application Mapping Approach for Many-Core Networks-on-Chip.

Fen Ge1, Chenchen Cui1, Fang Zhou1

  • 1College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.

Micromachines
|June 2, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel multi-phase mapping approach for multi-core Networks-on-Chip (NoC). It significantly reduces network power consumption and latency for simultaneous application deployment.

Keywords:
mappingmulti-applicationnetworks-on-chip

More Related Videos

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.7K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.5K

Related Experiment Videos

Last Updated: Nov 3, 2025

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

5.3K
Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.7K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.5K

Area of Science:

  • Computer Engineering
  • Parallel Computing
  • Network Architecture

Background:

  • Massive parallel computing on many-core Networks-on-Chip (NoC) is crucial for performance acceleration.
  • Simultaneously deploying multiple applications on NoC is an effective strategy for resource utilization.

Purpose of the Study:

  • To propose a multi-phase-based multi-application mapping approach for Network-on-Chip (NoC) design.
  • To optimize the placement of multiple applications on NoC for enhanced performance.

Main Methods:

  • Rectangle analysis to identify potential application regions.
  • Genetic algorithm for mapping application tasks into identified regions.
  • B*Tree-based simulated annealing for optimal multi-application placement.

Main Results:

  • The proposed approach achieved a reduction in network power consumption by up to 23.45%.
  • Latency was reduced by up to 24.42% for the tested applications.
  • Demonstrated effective simultaneous deployment of multiple applications on NoC.

Conclusions:

  • The multi-phase mapping approach offers significant improvements in NoC performance.
  • This method provides an efficient solution for managing multiple applications on many-core NoCs.
  • The approach effectively balances performance gains with reduced power consumption and latency.