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

GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

846
A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
846
Parallel Processing01:20

Parallel Processing

791
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...
791
Statgraphics01:10

Statgraphics

426
Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
426
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

3.0K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
3.0K

You might also read

Related Articles

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

Sort by
Same author

Selected Configuration Interaction Using Time-Evolved Population Statistics.

Journal of chemical theory and computation·2026
Same author

Quantum-informed machine learning for predicting spatiotemporal chaos with practical quantum advantage.

Science advances·2026
Same author

Bridging Quantum Chemistry and MaxCut: Classical Performance Guarantees and Quantum Algorithms for the Hartree-Fock Method.

Journal of chemical theory and computation·2025
Same author

Rapid, accurate, and reproducible <i>de novo</i> prediction of resistance to antituberculars.

mSphere·2025
Same author

Comparison of Navier-Stokes and lattice Boltzmann solvers for subject-specific modelling of intracranial aneurysms.

Computers in biology and medicine·2025
Same author

Synthetic Retinoids for the Modulation of Genomic and Nongenomic Processes in Neurodegenerative Diseases.

ACS omega·2025
Same journal

Correction to: 'Stokes settling and particle-laden plumes: implications for deep-sea mining and volcanic eruption plumes' (2020), by Mingotti et al.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

A stable hothouse triggered by a tipping mechanism.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Beyond distance: quantifying point cloud dynamics with persistent homology and dynamic optimal transport.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Global stability of the Atlantic overturning circulation: edge state, long transients and boundary crisis under CO2 forcing.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Morse index classification and landscape of Kuramoto system for Hebbian-based binary pattern recognition.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Interpretable and equation-free response theory for complex systems.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
See all related articles

Related Experiment Video

Updated: Feb 19, 2026

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques
07:52

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques

Published on: December 1, 2023

1.5K

Scientific Grid computing.

Peter V Coveney1

  • 1Centre for Computational Science & Department of Chemistry, University College London, UK. p.v.coveney@ucl.ac.uk

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|August 16, 2005
PubMed
Summary
This summary is machine-generated.

We define Grid computing and compare its evolution to the World Wide Web. Further research is needed for a usable Grid infrastructure, but scientific applications are advancing.

More Related Videos

gP2S, an Information Management System for CryoEM Experiments
13:01

gP2S, an Information Management System for CryoEM Experiments

Published on: June 10, 2021

5.9K
Cryo-Electron Microscopic Grid Preparation for Time-Resolved Studies using a Novel Robotic System, Spotiton
08:59

Cryo-Electron Microscopic Grid Preparation for Time-Resolved Studies using a Novel Robotic System, Spotiton

Published on: February 25, 2021

4.3K

Related Experiment Videos

Last Updated: Feb 19, 2026

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques
07:52

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques

Published on: December 1, 2023

1.5K
gP2S, an Information Management System for CryoEM Experiments
13:01

gP2S, an Information Management System for CryoEM Experiments

Published on: June 10, 2021

5.9K
Cryo-Electron Microscopic Grid Preparation for Time-Resolved Studies using a Novel Robotic System, Spotiton
08:59

Cryo-Electron Microscopic Grid Preparation for Time-Resolved Studies using a Novel Robotic System, Spotiton

Published on: February 25, 2021

4.3K

Area of Science:

  • Computer Science
  • High-Performance Computing
  • Distributed Systems

Background:

  • The evolution of the World Wide Web provides a parallel for understanding the aspirations and challenges of Grid computing.
  • Current Grid computing efforts aim to create a globally accessible infrastructure for distributed resource sharing.

Purpose of the Study:

  • To define Grid computing for consistent understanding within the Theme Issue.
  • To identify research and development areas crucial for a universally accessible Grid infrastructure.
  • To review the progress and scientific applications enabled by contemporary computational Grids.

Main Methods:

  • Defining Grid computing and comparing its developmental trajectory with the World Wide Web.
  • Discussing advancements in building Grids, developing middleware, and enabling computational steering and visualization.
  • Reviewing scientific domains benefiting from Grid computing and high-performance computing accessibility.

Main Results:

  • A clear definition of Grid computing is established.
  • Key areas requiring further research for a functional Grid infrastructure are identified.
  • Scientific advancements and progress in high-performance computing enabled by Grids are documented.

Conclusions:

  • Grid computing requires significant further development for widespread usability.
  • Existing work in Grid construction, middleware, and visualization is making scientific Grid computing viable.
  • The increasing availability of high-performance computing is accelerating scientific discovery through Grids.