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 Experiment Videos

Hub-based simulation and graphics hardware accelerated visualization for nanotechnology applications.

Wei Qiao1, Michael McLennan, Rick Kennell

  • 1Purdue University, USA. qiaow@purdue.edu

IEEE Transactions on Visualization and Computer Graphics
|November 4, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Network analysis of stress and stigma symptoms and their associations with quality of life among Chinese female infertility patients.

BMC women's health·2024
Same author

Clinical, pathological, and computed tomography morphological features of lung cancer with spread through air spaces.

Translational lung cancer research·2024
Same author

Validation of the 2018 (New) ENMC Classification Criteria for Dermatomyositis in Chinese Patients with Idiopathic Inflammatory Myopathies.

Clinical rheumatology·2024
Same author

Electrically-driven drug delivery into deep cutaneous tissue by conductive microneedles for fungal infection eradication and protective immunity.

Biomaterials·2024
Same author

Correlation Between Intrinsic Capacity and Muscle Strength and Quality in Older Patients with Cardiovascular Disease: A Cross-Sectional Study.

Clinical interventions in aging·2024
Same author

Decitabine, venetoclax, and ponatinib for advanced phase chronic myeloid leukaemia and Philadelphia chromosome-positive acute myeloid leukaemia: a single-arm, single-centre phase 2 trial.

The Lancet. Haematology·2024
Same journal

Blue Noise Dithering for Reservoir-based Spatio-temporal Importance Resampling.

IEEE transactions on visualization and computer graphics·2026
Same journal

ROS-GS: Relightable Outdoor Scenes With Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
See all related articles

The Network for Computational Nanotechnology (NCN) developed a unique visualization framework for interactive nanotechnology simulations. This cost-effective system uses hardware acceleration to support many users, enhancing scientific discovery.

Area of Science:

  • Computational Nanotechnology
  • Scientific Visualization
  • Materials Science

Background:

  • nanoHUB.org is a science gateway for nanotechnology education and research.
  • Existing middleware routes jobs to supercomputing resources but lacks advanced visualization.
  • Interactive visual analytics are crucial for understanding complex simulation results.

Purpose of the Study:

  • To design and integrate a remote visualization framework into nanoHUB.
  • To enable interactive visual analytics for nanotechnology simulations.
  • To leverage hardware acceleration for efficient rendering and scalability.

Main Methods:

  • Developed a remote visualization framework utilizing hardware-accelerated graphics.
  • Integrated the framework with existing middleware for job routing.

Related Experiment Videos

  • Implemented on-demand rendering and a novel node distribution scheme for scalability.
  • Supported interactive analysis and visualization of multivariate scalar and vector fields.

    • Main Results:

    • The framework seamlessly delivers hardware-accelerated renderings through the middleware.
    • On-demand rendering allows a single graphics unit to support multiple user sessions.
    • A novel node distribution scheme enhances system scalability.
    • The system is efficient and cost-effective, supporting hundreds of sessions with minimal hardware.

    Conclusions:

    • The integrated framework provides efficient, scalable, and cost-effective interactive visual analytics for nanotechnology simulations.
    • This architecture offers capabilities applicable to various scientific simulation and analysis domains beyond nanotechnology.
    • The system enhances the nanoHUB's utility for research and education.