Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale
| Autor: | Matthew Wolf, Hank Childs, Jong Choi, Matthew Larsen, Norbert Podhorszki, Scott Klasky, Mark Kim, James Kress, David Pugmire |
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| Rok vydání: | 2020 |
| Předmět: |
Scale (ratio)
Total cost Computer science business.industry 020207 software engineering Volume rendering 02 engineering and technology 01 natural sciences Data modeling Data visualization 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Concurrent computing Node (circuits) Resource management (computing) business 010303 astronomy & astrophysics Algorithm |
| Zdroj: | LDAV |
| Popis: | This short paper considers time-to-solution for two in situ visualization paradigms: in-line and in-transit. It is a follow-on work to two previous studies. The first study [10] considered time-to-solution (wall clock time) and total cost (total node seconds incurred) for a single visualization algorithm (isosurfacing). The second study [11] considered only total cost and added a second algorithm (volume rendering). This short paper completes the evaluation, considering time-to-solution for both algorithms. In particular, it extends the first study by adding additional insights from including a second algorithm at larger scale and by doing more extended and formal analysis regarding time-to-solution. Further, it complements the second study as the best in situ configuration to choose can vary when considering time-to-solution over cost. It also makes use of the same data corpus used in the second study, although that data corpus has been refactored with time-to-solution in mind. |
| Databáze: | OpenAIRE |
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