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tsuomela : computational-science   43

[1904.04736] Cold Storage Data Archives: More Than Just a Bunch of Tapes
"The abundance of available sensor and derived data from large scientific experiments, such as earth observation programs, radio astronomy sky surveys, and high-energy physics already exceeds the storage hardware globally fabricated per year. To that end, cold storage data archives are the---often overlooked---spearheads of modern big data analytics in scientific, data-intensive application domains. While high-performance data analytics has received much attention from the research community, the growing number of problems in designing and deploying cold storage archives has only received very little attention. In this paper, we take the first step towards bridging this gap in knowledge by presenting an analysis of four real-world cold storage archives from three different application domains. In doing so, we highlight (i) workload characteristics that differentiate these archives from traditional, performance-sensitive data analytics, (ii) design trade-offs involved in building cold storage systems for these archives, and (iii) deployment trade-offs with respect to migration to the public cloud. Based on our analysis, we discuss several other important research challenges that need to be addressed by the data management community. "
archives  data-curation  big-data  science  computational-science 
april 2019 by tsuomela
[1502.05256] Cultural Anthropology Through the Lens of Wikipedia - A Comparison of Historical Leadership Networks in the English, Chinese, Japanese and German Wikipedia
"In this paper we study the differences in historical worldview between Western and Eastern cultures, represented through the English, Chinese, Japanese, and German Wikipedia. In particular, we analyze the historical networks of the World's leaders since the beginning of written history, comparing them in the four different Wikipedias. "
anthropology  data-science  computational-science 
april 2017 by tsuomela
The Julia Language
"Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. Julia’s Base library, largely written in Julia itself, also integrates mature, best-of-breed open source C and Fortran libraries for linear algebra, random number generation, signal processing, and string processing. In addition, the Julia developer community is contributing a number of external packages through Julia’s built-in package manager at a rapid pace. IJulia, a collaboration between the Jupyter and Julia communities, provides a powerful browser-based graphical notebook interface to Julia."
programming  computer-science  computational-science  language 
september 2016 by tsuomela
Torch | Scientific computing for LuaJIT.
"Torch is a scientific computing framework with wide support for machine learning algorithms. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation."
science  computational-science  programming  framework 
january 2015 by tsuomela
The ORCHID Project
"This vision of people and computational agents operating at a global scale offers tremendous potential and, if realised correctly, will help us meet the key societal challenges of sustainability, inclusion, and safety that are core to our future."
computational-science  computer-science  collaboration  human  agents 
october 2012 by tsuomela
NARCCAP: The North American Regional Climate Change Assessment Program
NARCCAP is an international program that serves the high resolution climate scenario needs of the United States, Canada, and northern Mexico, using regional climate model, coupled global climate model, and time-slice experiments.
climate  environment  climate-change  impact  modeling  science  computational-science 
june 2012 by tsuomela
Prof. Gregory V. Wilson
"My main interest is the overlap between software engineering
and computational science."
people  academic  computer-science  software  software-studies  science  computational-science 
may 2012 by tsuomela
SpringerLink - Computational
"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."
simulation  computer  agent-based-model  modeling  computational-science  organization 
march 2011 by tsuomela
AAAS Symposium 2011: The Digitization of Science
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
science  digital  computational-science  philosophy  computer  symposium  2011 
february 2011 by tsuomela
[1009.6027] Next-generation Astronomy
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.
future  science  astronomy  computational-science  observation  observatory  database 
october 2010 by tsuomela
PLoS Computational Biology: Evolutionary Establishment of Moral and Double Moral Standards through Spatial Interactions
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”).
cooperation  modeling  agent-based-model  evolution  game-theory  computational-science  simulation  biology  open-access 
may 2010 by tsuomela
The Coalition for Academic Scientific Computation
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.
computational-science  academia  consortium  university  mathematics  science  infrastructure  high-performance-computing 
april 2010 by tsuomela
The Grid Workloads Archive : Home
The primary purpose of the Grid Workloads Archive is to provide (anonymized) workload traces from grid environments to researchers and to practitioners alike.
computational-science  grid-computing  research  archive  data  workload  grid  computing  project(Utenn) 
april 2010 by tsuomela
Pacific Northwest National Laboratory
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.
federal  national  lab  science  computational-science 
april 2010 by tsuomela
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.
infrastructure  computer  science  open-science  open-access  simulation  computational-science 
april 2010 by tsuomela
National Center for Computational Sciences
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.
computational-science  computer  infrastructure  computer-science  modeling  federal  lab  academic-lab  government 
april 2010 by tsuomela
DOE - National Energy Technology Laboratory: Home Page
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.
energy  government  federal  lab  science  computational-science  modeling 
april 2010 by tsuomela
Carl Kesselman Home Page
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.
people  school(USC)  grid-computing  computational-science  engineering  simulation  infrastructure  science  toolkit 
april 2010 by tsuomela
David Keyes' Home Page
Research interests: Scientific Computing, Parallel Algorithms, Parallel Performance Analysis, Computational Aerodynamics, Computational Radiation Transport, Computational Combustion, Optimization.
people  academic  mathematics  applied  school(ColumbiaU)  simulation  computational-science  event:IDRE 
april 2010 by tsuomela
The Fourth Paradigm: Data-Intensive Scientific Discovery - Microsoft Research
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.
science  data  programming  books  data-mining  development  computer-science  discovery  philosophy  future  data-curation  statistics  big-data  computational-science 
january 2010 by tsuomela
Federation of Earth Science Information Partners ? Making Data Matter
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.
data  science  consortium  geology  meteorology  environment  remote-sensing  project(Utenn)  supercomputing  research  computational-science 
march 2007 by tsuomela

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