| 1. |
- Lapenta, Giovanni, et al.
(författare)
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Space Weather Prediction and Exascale Computing
- 2013
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Ingår i: Computing in science & engineering (Print). - 1521-9615 .- 1558-366X. ; 15:5, s. 68-76
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Tidskriftsartikel (refereegranskat)abstract
- Space weather can have a great effect on Earth's climate. Predicting the impact of space environment disturbances on Earth presents a challenge to scientists. Here, the ExaScience Lab's efforts are presented, which use exascale computing and new visualization tools to predict the arrival and impact of space events on Earth.
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| 2. |
- Liu, Ming, et al.
(författare)
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A High-End Reconfigurable Computation Platform for Nuclear and Particle Physics Experiments
- 2011
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Ingår i: Computing in science & engineering (Print). - 1521-9615 .- 1558-366X. ; 13:2, s. 52-63
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Tidskriftsartikel (refereegranskat)abstract
- A high-performance computation platform based on field-programmable gate arrays targets nuclear and particle physics experiment applications. The system can be constructed or scaled into a supercomputer-equivalent size for detector data processing by inserting compute nodes into advanced telecommunications computing architecture (ATCA) crates. Among the case study results are that one ATCA crate can provide a computation capability equivalent to hundreds of commodity PCs for Hades online particle track reconstruction and Cherenkov ring recognition.
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| 3. |
- Strömbäck, Lena, et al.
(författare)
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XML Management for Bioinformatics Applications
- 2011
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Ingår i: Computing in science & engineering (Print). - : Institute of Electrical and Electronics Engineers (IEEE). - 1521-9615 .- 1558-366X. ; 13:5, s. 12-22
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Tidskriftsartikel (refereegranskat)abstract
- Scientific exploration has become a data-intensive process, and increasing amounts of data need to be stored, analyzed, and shared. XML can help address these needs. As concrete examples from systems biology show, native XML storage can be combined with traditional relational databases to offer an effective, usable solution for storing scientific data.
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| 4. |
- Weinkauf, Tino, 1974-, et al.
(författare)
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Flow Visualization and Analysis Using Streak and Time Lines
- 2012
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Ingår i: Computing in science & engineering (Print). - 1521-9615 .- 1558-366X. ; 14:5, s. 78-84
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Tidskriftsartikel (refereegranskat)abstract
- Novel mathematical descriptions of streak and time lines lead to new methods for visualizing and analyzing flow fields. It enables faster computations and new feature-based methods.
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| 5. |
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| 6. |
- Sletholt, Magnus Thorstein, et al.
(författare)
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What Do We Know about Scientific Software Development's Agile Practices?
- 2012
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Ingår i: Computing in Science & Engineering. - 1521-9615. ; 14:2, s. 24-36
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Tidskriftsartikel (refereegranskat)abstract
- The development of scientific software has similarities with processes that follow the software engineering "agile manifesto": responsiveness to change and collaboration are of utmost importance. But how well do current scientific software-development processes match the practices found in agile development methods, and what are the effects of using agile practices in such processes?
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| 7. |
- Xin, J., et al.
(författare)
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Globally convergent numerical methods for coefficient inverse problems for imaging inhomogeneities
- 2010
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Ingår i: Computing in Science and Engineering, (CISE). - 1521-9615. ; 12:5, s. 64-77
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Tidskriftsartikel (refereegranskat)abstract
- How can we differentiate between an underground stone and a land mine? We discuss a class of methods for solving such problems. This class of methods concerns globally convergent numerical methods for Coefficient Inverse Problems, unlike conventional locally convergent algorithms. Numerical results are presented modeling imaging of the spatially distributed dielectric permittivity function in an environment where antipersonnel land mines are embedded along with stones. While these results are concerned with the first generation of globally convergent algorithms, images obtained by the most recent second generation are also presented for a generic case of imaging of the dielectric permittivity function. The mathematical apparatus is sketched only very briefly with references to corresponding publications.
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