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Data-intensive HPC: opportunities and challenges
| Content Provider | Semantic Scholar |
|---|---|
| Author | Valduriez, Patrick |
| Copyright Year | 2015 |
| Abstract | Data-intensive computing and HPC are two different computing paradigms (data-centric versus compute-centric), targeting different application domains (mainly business data processing versus computational science). But with the advent of big data, the blending of these areas into data-intensive HPC offers new opportunities to solve bigger problems, as well as new research challenges. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://hal-lirmm.ccsd.cnrs.fr/lirmm-01184018/file/Valduriez%20-%20Data%20intensive%20HPC.pdf |
| Alternate Webpage(s) | http://www.exascale.org/bdec/sites/www.exascale.org.bdec/files/2-Valduriez-Data-intensiveHPC.pdf |
| Alternate Webpage(s) | https://www.exascale.org/bdec/sites/www.exascale.org.bdec/files/2-Valduriez-Data-intensiveHPC.pdf |
| Alternate Webpage(s) | https://hal-lirmm.ccsd.cnrs.fr/lirmm-01184018/document |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |