"My main interest is the overlap between software engineering
and computational science."

"This paper develops the concepts and methods of a process we will call ldquoalignment of computational modelsrdquo or ldquodockingrdquo for short. Alignment is needed to determine whether two models can produce the same results, which in turn is the basis for critical experiments and for tests of whether one model can subsume another. We illustrate our concepts and methods using as a target a model of cultural transmission built by Axelrod. For comparison we use the Sugarscape model developed by Epstein and Axtell."

Scientific computation is emerging as absolutely central to the scientific method, but the prevalence of very relaxed practices is leading to a credibility crisis affecting many scientific fields. It is impossible to verify most of the results that computational scientists present at conferences and in papers today. Reproducible computational research, in which all details of computations -- code and data -- are made conveniently available to others, is a necessary response to this crisis.

This session addresses reproducible research from three critical vantage points: the consequences of reliance on unverified code and results as a basis for clinical drug trials

Fundamental changes are taking place in the way we do astronomy. In twenty years time, it is likely that most astronomers will never go near a cutting-edge telescope, which will be much more efficiently operated in service mode. They will rarely analyse data, since all the leading-edge telescopes will have pipeline processors. And rather than competing to observe a particularly interesting object, astronomers will more commonly group together in large consortia to observe massive chunks of the sky in carefully designed surveys, generating petabytes of data daily.

Situations where individuals have to contribute to joint efforts or share scarce resources are ubiquitous. Yet, without proper mechanisms to ensure cooperation, the evolutionary pressure to maximize individual success tends to create a tragedy of the commons (such as over-fishing or the destruction of our environment). This contribution addresses a number of related puzzles of human behavior with an evolutionary game theoretical approach as it has been successfully used to explain the behavior of other biological species many times, from bacteria to vertebrates. Our agent-based model distinguishes individuals applying four different behavioral strategies: non-cooperative individuals (“defectors”), cooperative individuals abstaining from punishment efforts (called “cooperators” or “second-order free-riders”), cooperators who punish non-cooperative behavior (“moralists”), and defectors, who punish other defectors despite being non-cooperative themselves (“immoralists”).

Founded in 1989, the Coalition for Academic Scientific Computation (CASC) is an educational nonprofit 501(c)(3) organization with 62 member institutions representing many of the nation’s most forward thinking universities and computing centers. CASC is dedicated to advocating the use of the most advanced computing technology to accelerate scientific discovery for national competitiveness, global security, and economic success, as well as develop a diverse and wellprepared 21st century workforce.

The primary purpose of the Grid Workloads Archive is to provide (anonymized) workload traces from grid environments to researchers and to practitioners alike.

Welcome to the Pacific Northwest National Laboratory, located in Richland, on the sunny eastern side of Washington state. PNNL is one of the U.S. Department of Energy's (DOE's) ten national laboratories, managed by DOE's Office of Science. PNNL also performs research for other DOE offices as well as government agencies, universities, and industry to deliver breakthrough science and technology to meet today's key national needs.

TeraGrid is an open scientific discovery infrastructure combining leadership class resources at eleven partner sites to create an integrated, persistent computational resource.

Using high-performance network connections, the TeraGrid integrates high-performance computers, data resources and tools, and high-end experimental facilities around the country. Currently, TeraGrid resources include more than a petaflop of computing capability and more than 30 petabytes of online and archival data storage, with rapid access and retrieval over high-performance networks. Researchers can also access more than 100 discipline-specific databases. With this combination of resources, the TeraGrid is the world's largest, most comprehensive distributed cyberinfrastructure for open scientific research.

Home to video lectures on scientific computing and physics.

The National Center for Computational Sciences (NCCS) provides the most powerful computing resources in the world for open scientific research. It is one of the world’s premier science facilities—an unparalled research environment that supports dramatic advances in understanding how the physical world works and using that knowledge to address our most pressing national and international concerns.

The NCCS was founded in 1992 to advance the state of the art in high-performance computing by putting new generations of powerful parallel supercomputers into the hands of the scientists who can use them the most productively. It is a managed activity of the Advanced Scientific Computing Research program of the Department of Energy Office of Science (DOE-SC) and is located at the Oak Ridge National Laboratory.

The National Energy Technology Laboratory (NETL), part of DOE’s national laboratory system, is owned and operated by the U.S. Department of Energy (DOE). NETL supports DOE’s mission to advance the national, economic, and energy security of the United States.

Most of my research is focused around the Globus project™, a joint research project with Ian Foster's group at Argonne National Laboratory. Globus is developing the basic mechanisms and infrastructure for grids. One major result is the development of the Globus Toolkit®, the underlying infrastructure used by most major grid projects.

Research interests: Scientific Computing, Parallel Algorithms, Parallel Performance Analysis, Computational Aerodynamics, Computational Radiation Transport, Computational Combustion, Optimization.

Increasingly, scientific breakthroughs will be powered by advanced computing capabilities that help researchers manipulate and explore massive datasets. The speed at which any given scientific discipline advances will depend on how well its researchers collaborate with one another, and with technologists, in areas of eScience such as databases, workflow management, visualization, and cloud computing technologies. In The Fourth Paradigm: Data-Intensive Scientific Discovery, the collection of essays expands on the vision of pioneering computer scientist Jim Gray for a new, fourth paradigm of discovery based on data-intensive science and offers insights into how it can be fully realized.

The Federation of Earth Science Information Partners is a unique consortium of more than 110 organizations that collect, interpret and develop applications for Earth observation information. Included in the ESIP network are NASA, NOAA and USGS data centers, research universities, government research laboratories, supercomputing facilities, education resource providers, information technology innovators, nonprofit organizations and commercial enterprises.

scientific computing and python