Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Parallel Processing

Parallel Processing

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...

You might also read

Related Articles

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

Sort by

Same author

AI-driven multiscale simulations illuminate mechanisms of SARS-CoV-2 spike dynamics.

The international journal of high performance computing applications·2024

Same author

Intelligent resolution: Integrating Cryo-EM with AI-driven multi-resolution simulations to observe the severe acute respiratory syndrome coronavirus-2 replication-transcription machinery in action.

The international journal of high performance computing applications·2024

Same author

Application Experiences on a GPU-Accelerated Arm-based HPC Testbed.

The proceedings of International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2023 Workshops) : 27 February to 2 March 2023, Singapore. International Conference/Exhibition on High-Performance Computing in th...·2024

Same author

Dynamics of chromosome organization in a minimal bacterial cell.

Frontiers in cell and developmental biology·2023

Same author

VMD as a Platform for Interactive Small Molecule Preparation and Visualization in Quantum and Classical Simulations.

Journal of chemical information and modeling·2023

Same author

Lessons Learned from Responsive Molecular Dynamics Studies of the COVID-19 Virus.

Proceedings of UrgentHPC 2021 : the Third International Workshop on HPC for Urgent Decision Making·2022

Search research articles

Related Experiment Video

Updated: Mar 13, 2026

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Published on: December 18, 2014

High Performance Molecular Visualization: In-Situ and Parallel Rendering with EGL.

John E Stone¹, Peter Messmer², Robert Sisneros³

¹Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL; johns@ks.uiuc.edu.

IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum : [Proceedings]. IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum

|October 18, 2016

Summary

This summary is machine-generated.

Large molecular dynamics simulations generate massive data. Using the Embedded-system Graphics Library (EGL) enables in-situ visualization on supercomputers and clouds, overcoming hardware acceleration challenges.

Keywords:

in-situ visualization molecular visualization parallel rendering remote visualization

More Related Videos

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

Published on: February 28, 2021

Related Experiment Videos

Last Updated: Mar 13, 2026

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Published on: December 18, 2014

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

Published on: February 28, 2021

Area of Science:

Computational Science
Computer Graphics
Scientific Visualization

Background:

Large-scale molecular dynamics simulations generate terabytes of data, posing challenges for remote transfer and analysis.
In-situ or co-located visualization is necessary, but deploying visualization software on high-performance computing (HPC) systems is hindered by graphics hardware management requirements.

Purpose of the Study:

To address the challenge of deploying visualization software on compute nodes without traditional windowing systems.
To explore the benefits of using the Embedded-system Graphics Library (EGL) for high-performance visualization applications.

Main Methods:

Implemented Embedded-system Graphics Library (EGL) support within VMD, a molecular visualization application.
Evaluated EGL in VMD on conventional workstations and Amazon EC2 GPU-accelerated cloud instances using developmental graphics drivers.

Main Results:

EGL eliminates the need for windowing system software on compute nodes, simplifying deployment of visualization tools.
Demonstrated successful integration and evaluation of EGL in VMD for molecular visualization tasks on petascale computers, clouds, and remote servers.

Conclusions:

The EGL approach significantly reduces obstacles for using high-performance visualization applications in cloud, cluster, and supercomputing environments.
This technique is expected to benefit a wide range of other visualization applications beyond molecular dynamics.