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TeraGrid

TeraGrid is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand TeraGrid rather than just read about it. In short: TeraGrid was an e-Science grid computing infrastructure combining resources at eleven partner sites. The project started in 2001 and operated from 2004 through 2011.

TeraGrid — main illustration
TeraGrid — illustration

Key takeaways

  • TeraGrid belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect TeraGrid to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of TeraGrid from memory before moving on to harder problems.

Reference excerpt

TeraGrid was an e-Science grid computing infrastructure combining resources at eleven partner sites. The project started in 2001 and operated from 2004 through 2011. The TeraGrid integrated high-performance computers, data resources and tools, and experimental facilities. Resources included more than a petaflops of computing capability and more than 30 petabytes of online and archival data storage, with rapid access and retrieval over high-performance computer network connections. Researchers could also access more than 100 discipline-specific databases. TeraGrid was coordinated through the Grid Infrastructure Group (GIG) at the University of Chicago, working in partnership with the resource provider sites in the United States.

History The US National Science Foundation (NSF) issued a solicitation asking for a "distributed terascale facility" from program director Richard L. Hilderbrandt. The TeraGrid project was launched in August 2001 with $53 million in funding to four sites: the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign, the San Diego Supercomputer Center (SDSC) at the University of California, San Diego, the University of Chicago Argonne National Laboratory, and the Center for Advanced Computing Research (CACR) at the California Institute of Technology in Pasadena, California. The design was meant to be an extensible distributed open system from the start. In October 2002, the Pittsburgh Supercomputing Center (PSC) at Carnegie Mellon University and the University of Pittsburgh joined the TeraGrid as major new partners when NSF announced $35 million in supplementary funding. The TeraGrid network was transformed through the ETF project from a 4-site mesh to a dual-hub backbone network with connection points in Los Angeles and at the Starlight facilities in Chicago. In October 2003, NSF awarded $10 million to add four sites to TeraGrid as well as to establish a third network hub, in Atlanta. These new sites were Oak Ridge National Laboratory (ORNL), Purdue University, Indiana University, and the Texas Advanced Computing Center (TACC) at The University of Texas at Austin. TeraGrid construction was also made possible through corporate partnerships with Sun Microsystems, IBM, Intel Corporation, Qwest Communications, Juniper Networks, Myricom, Hewlett-Packard Company, and Oracle Corporation. TeraGrid construction was completed in October 2004, at which time the TeraGrid facility began full production.

Operation In August 2005, NSF's newly created office of cyberinfrastructure extended support for another five years with a $150 million set of awards. It included $48 million for coordination and user support to the Grid Infrastructure Group at the University of Chicago led by Charlie Catlett. Using high-performance network connections, the TeraGrid featured high-performance computers, data resources and tools, and high-end experimental facilities around the USA. The work supported by the project is sometimes called e-Science. In 2006, the University of Michigan's School of Information began a study of TeraGrid. In May 2007, TeraGrid integrated resources included more than 250 teraflops of computing capability and more than 30 petabytes (quadrillions of bytes) of online and archival data storage with rapid access and retrieval over high-performance networks. Researchers could access more than 100 discipline-specific databases. In late 2009, The TeraGrid resources had grown to 2 petaflops of computing capability and more than 60 petabytes storage. In mid 2009, NSF extended the operation of TeraGrid to 2011.

Transition to XSEDE A follow-on project was approved in May 2011. In July 2011, a partnership of 17 institutions announced the Extreme Science and Engineering Discovery Environment (XSEDE). NSF announced funding the XSEDE project for five years, at $121 million. XSEDE was led by John Towns at the University of Illinois's National Center for Supercomputing Applications until it ended August 31, 2022, being followed by another program named ACCESS.

Architecture

TeraGrid resources are integrated through a service-oriented architecture in that each resource provides a "service" that is defined in terms of interface and operation. Computational resources run a set of software packages called "Coordinated TeraGrid Software and Services" (CTSS). CTSS provides a familiar user environment on all TeraGrid systems, allowing scientists to more easily port code from one system to another. CTSS also provides integrative functions such as single-signon, remote job submission, workflow support, data movement tools, etc. CTSS includes the Globus Toolkit, Condor, distributed accounting and account management software, verification and validation software, and a set of compilers, programming tools, and environment variables. TeraGrid uses a 10 Gigabits per second dedicated fiber-optical backbone network, with hubs in Chicago, Denver, and Los Angeles. All resource provider sites connect to a backbone node at 10 Gigabits per second. Users accessed the facility through national research networks such as the Internet2 Abilene backbone and National LambdaRail.

Usage TeraGrid users primarily came from U.S. universities. There are roughly 4,000 users at over 200 universities. Academic researchers in the United States can obtain exploratory, or development allocations (roughly, in "CPU hours") based on an abstract describing the work to be done. More extensive allocations involve a proposal that is reviewed during a quarterly peer-review process. All allocation proposals are handled through the TeraGrid website. Proposers select a scientific discipline that most closely describes their work, and this enables reporting on the allocation of, and use of, TeraGrid by scientific discipline. As of July 2006 the scientific profile of TeraGrid allocations and usage was:

Each of these discipline categories correspond to a specific program area of the National Science Foundation. Starting in 2006, TeraGrid provided application-specific services to Science Gateway partners, who serve (generally via a web portal) discipline-specific scientific and education communities. Through the Science Gateways program TeraGrid aims to broaden access by at least an order of magnitude in terms of the number of scientists, students, and educators who are able to use TeraGrid.

… excerpt ends here. Continue reading the full article.

Illustrations

TeraGrid: TeraGrid equipment at UCSD in 2007
TeraGrid equipment at UCSD in 2007

Worked examples

Example 1 — a first encounter with TeraGrid

Start with the simplest possible case. Write down what TeraGrid claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to TeraGrid before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about TeraGrid ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of TeraGrid

In research
TeraGrid appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses TeraGrid in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
TeraGrid is common in secondary-school and first-year university syllabi. It links to neighbouring topics Grid computing, National Science Foundation, Supercomputing, so understanding it makes those chapters shorter.
In everyday life
Look for TeraGrid outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study TeraGrid in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what TeraGrid means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain TeraGrid out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is TeraGrid in simple terms?

TeraGrid was an e-Science grid computing infrastructure combining resources at eleven partner sites. The project started in 2001 and operated from 2004 through 2011.

Why does TeraGrid matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study TeraGrid?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on TeraGrid.

Tags

  • Grid computing
  • National Science Foundation
  • Supercomputing

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