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pro vyhledávání: '"Sujin Philip"'
Autor:
Kenneth Moreland, Vicente Bolea, Hank Childs, Nickolas Davis, Mark Kim, James Kress, Matthew Letter, Li-Ta Lo, Robert Maynard, Sujin Philip, David Pugmire, Nick Thompson, Allison Vacanti, Abhishek Yenpure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e028a3072857b0936594bce5c002be36
https://doi.org/10.2172/1895214
https://doi.org/10.2172/1895214
Publikováno v:
ICPADS
Gradient domain processing is a computationally expensive image processing technique. Its use for processing massive images, giga or terapixels in size, can take several hours with serial techniques. To address this challenge, parallel algorithms are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::142f699584ded7c58d3860a5e414738c
https://doi.org/10.1109/icpads.2011.69
https://doi.org/10.1109/icpads.2011.69
Publikováno v:
Visual Computer; Jun2013, Vol. 29 Issue 6-8, p469-471, 3p
Cloud computing offers many advantages to researchers and engineers who need access to high performance computing facilities for solving particular compute-intensive and/or large-scale problems, but whose overall high performance computing (HPC) need
Visualization and analysis tools, techniques, and algorithms have undergone a rapid evolution in recent decades to accommodate explosive growth in data size and complexity and to exploit emerging multi- and many-core computational platforms. High Per