Tags: cyberinfrastructure

Description

The comprehensive infrastructure needed to capitalize on dramatic advances in information technology has been termed cyberinfrastructure. Cyberinfrastructure integrates hardware for computing, data and networks, digitally-enabled sensors, observatories and experimental facilities, and an interoperable suite of software and middleware services and tools. Investments in interdisciplinary teams and cyberinfrastructure professionals with expertise in algorithm development, system operations, and applications development are also essential to exploit the full power of cyberinfrastructure to create, disseminate, and preserve scientific data, information, and knowledge.

–from NSF's Cyberinfrastructure Vision For 21st Century Discovery

In this context, the nanoHUB cyberinfrastructure integrates middleware components (Condor, VIOLIN) and links to compute and storage resources on TeraGrid and the Open Science Grid to offer the nanotechnology community a set of easy to use services that enhances their research and learning.

Learn more about quantum dots from the many resources on this site, listed below. More information on Cyberinfrastructure can be found here.

All Categories (61-80 of 94)

  1. How to Breezify Your Presentation and Publish it on the nanoHUB

    09 Jul 2006 | | Contributor(s):: Joseph M. Cychosz

    This presentation gives a detailed overview of the process of creating an online presentation for the nanoHUB. It describes how to use Adobe-Macromedia's Breeze presentation tool in conjuction with Microsoft Powerpoint to create a narriated presentation, and how to upload it to the nanoHUB.

  2. Giving Talks and Posters That People Would Actually Like to See

    28 Jun 2006 | | Contributor(s):: Jerry M. Woodall

    Other than getting a college degree, being able to communicate technical results to non experts (and even experts) in a simple and easily understandable way iscritical to a future successful career path.To this end I will discuss the elements of how to prepare both good power pointand poster...

  3. MATLAB DOs and DON'Ts

    14 May 2006 | | Contributor(s):: Dmitri Nikonov

    Matlab is widely used for simulations but is believed to be unsuitable for complex projects and to produce slow-running software tools. The presentation argues that blind copying of methods typical of C and Fortran is responsible for such inefficiencies; the presentation teaches avoidance of...

  4. Purdue Discovery Park Cyber Center Lecture Series

    12 May 2006 |

    The Cyber Center is creating a human infrastructure for collaboration and research for projects engaging cyberinfrastructure at Purdue. The goal of the Cyber Center (CC) is to create a center of national preeminence in computational methods for discovery and learning. Cyberinfrastructure (CI) is...

  5. NCSA: Powering Cyber-research in the 21st Century

    09 May 2006 | | Contributor(s):: Thom H. Dunning

    Since its creation by the National Science Foundation (NSF) and the state of Illinois in 1986, the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign (UIUC) has been a leader in the development and deployment of new computing and software...

  6. Workspace

    21 Apr 2006 |

    Development workspace

  7. Real-time Technology Assessment

    11 Apr 2006 | | Contributor(s):: David Guston

    Real-time technology assessment (RTTA) is a social technology that relies on fundamental understandings of the social, moral, political, and economic dynamics of knowledge-based innovation that have developed over the past three decades. These understandings reveal the complex, value-laden...

  8. Middleware Support for Virtual Distributed Environments in a Shared Distributed Infrastructure

    11 Apr 2006 | | Contributor(s):: Dongyan Xu

    The job and service-oriented paradigm of the Grid enables a wide spectrum of applications to share the massive computational power across the Internet. In this talk, I will present a complementary paradigm of virtual distributed environments to accommodate arbitrary parallel/distributed...

  9. Introduction to Condor

    06 Apr 2006 | | Contributor(s):: Alain Roy

    In this talk, Alain Roy introduces Condor and the Condor Project at a very high-level. Condor's matchmaking technologies are discussed, as well as Condor's grid capablities.

  10. Using Condor

    21 Mar 2006 | | Contributor(s):: Alain Roy

    In this talk, Alain Roy describes details of how to use Condor to run jobs on your local batch system. It is presumed that you have already installed Condor and wish to learn the basics of submitting jobs.

  11. The nanoHUB Science Gateway

    07 Mar 2006 | | Contributor(s):: Sebastien Goasguen

    The TeraGrid Science Gateways program was initiated to expand the influence of TeraGrid resources through back-end integration into community developed portals and desktop applications. Nancy Wilkins-Diehr, SDSC, TeraGrid Area Director for Science Gateways will give a brief overview of the...

  12. Service-Oriented Science: Scaling eScience Application & Impact

    08 Feb 2006 | | Contributor(s):: Ian Foster

    My work is frequently motivated by the information technology concerns of "big science", a frequently fascinating source of problems for the computer scientist due to the broad scope and ambitious goals of many scientific communities. I speak here about work that seeks to rethink science's...

  13. An Overview of Virtualization Techniques

    03 Feb 2006 | | Contributor(s):: Renato Figueiredo

    This presentation presents an introduction to resource virtualizationtechniques, which are one of the foundations of the infrastructure foronline simulation provided by the nanoHUB.

  14. How Can Your Educational Modules Contain Interactive Online Simulation?

    28 Feb 2005 | | Contributor(s):: Gerhard Klimeck

    The Network for Computational Nanotechnology (NCN) is a multi-university, NSF-funded initiative with a mission to lead in research, education, and outreach to students and professionals, while at the same time deploying a unique web-based cyber-infrastructure to serve the nation''s National...

  15. VolQD: Graphics Hardware Accelerated Interactive Visual Analytics of Multi-million Atom Nanoelectronics Simulations

    13 Dec 2005 | | Contributor(s):: Wei Qiao

    In this work we present a hardware-accelerated direct volume renderingsystem for visualizing multivariate wave functions in semiconductingquantum dot (QD) simulations. The simulation datacontains the probability density values of multiple electron orbitalsfor up to tens of millions of...

  16. Add Rappture to Your Software Development - Learning Module

    01 Nov 2005 | | Contributor(s):: Michael McLennan

    This series is a set of presentations formerly known as a "Learning Module." The presentations are meant to be viewed in sequence to get a full understanding of the topic. Please click on the following links in order to access each of the presentations in sequence. Overview Wrapping...

  17. Wireless Integrated MicroSystems (WIMS): Coming Revolution in the Gathering of Information

    01 Sep 2005 | | Contributor(s):: Kensall D. Wise

    Wireless integrated microsystems promise to become pervasive during the coming decade in applications ranging from health care and environmental monitoring to homeland security. Merging low-power embedded computing, wireless interfaces, and wafer-level packaging with microelectromechanical...

  18. Parallel Computing for Realistic Nanoelectronic Simulations

    12 Sep 2005 | | Contributor(s):: Gerhard Klimeck

    Typical modeling and simulation efforts directed towards the understanding of electron transport at the nanometer scale utilize single workstations as computational engines. Growing understanding of the involved physics and the need to model realistically extended devices increases the complexity...

  19. Numerical Aspects of NEGF: The Recursive Green Function Algorithm

    14 Jun 2004 | | Contributor(s):: Gerhard Klimeck

    Numerical Aspects of NEGF: The Recursive Green Function Algorithm

  20. Scientific Software Development

    29 Jun 2005 | | Contributor(s):: Clemens Heitzinger

    The development of efficient scientific simulation codes poses a wide range of problems. How can we reduce the time spent in developing and debugging codes while still arriving at efficient programs? What happens when our codes must interact with existing tools? In recent years, higher-level...