Difference between revisions of "ICPP 2017"
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{{Event | {{Event | ||
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|Field=Parallel Processing | |Field=Parallel Processing | ||
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|Submission deadline=2017/02/27 | |Submission deadline=2017/02/27 | ||
|Notification=2017/05/08 | |Notification=2017/05/08 | ||
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|has workshop chair=Federico Silla | |has workshop chair=Federico Silla | ||
|has Keynote speaker=Michael Klein, Laura Grigori, David May | |has Keynote speaker=Michael Klein, Laura Grigori, David May | ||
| − | |State=IT/62}} | + | |Acronym=ICPP 2017 |
| + | |End date=2017-06-03 | ||
| + | |Series=ICPP | ||
| + | |Type =Conference | ||
| + | |Country=IT | ||
| + | |State=IT/62 | ||
| + | |City =IT/62/Rome | ||
| + | |Year =2017 | ||
| + | |Homepage=www.waset.org/conference/2017/03/rome/ICPP | ||
| + | |Start date=2017-05-03 | ||
| + | |Title=46th International Conference on Parallel Processing | ||
| + | }} | ||
The 46th International Conference on Parallel Processing (ICPP-2017) will be held in Bristol, UK during August 14-17, 2017. | The 46th International Conference on Parallel Processing (ICPP-2017) will be held in Bristol, UK during August 14-17, 2017. | ||
Latest revision as of 03:42, 6 December 2021
Event Rating
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List of all ratings can be found at ICPP 2017/rating
| ICPP 2017 | |
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46th International Conference on Parallel Processing
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| Event in series | ICPP |
| Dates | 2017-05-03 (iCal) - 2017-06-03 |
| Homepage: | www.waset.org/conference/2017/03/rome/ICPP |
| Location | |
| Location: | IT/62/Rome, IT/62, IT |
| Important dates | |
| Submissions: | 2017/02/27 |
| Notification: | 2017/05/08 |
| Camera ready due: | 2017/07/23 |
| Committees | |
| General chairs: | Wu Feng |
| PC chairs: | Anne Benoit, Daniel S. Katz |
| Workshop chairs: | Federico Silla |
| Keynote speaker: | Michael Klein, Laura Grigori, David May |
| Table of Contents | |
The 46th International Conference on Parallel Processing (ICPP-2017) will be held in Bristol, UK during August 14-17, 2017.
Topics
Architecture, including processor; memory; I/O; network; instruction-, thread- and data-level parallelism; accelerators & other special-purpose hardware; power-aware/energy-efficient; performance
Algorithms, including combinatorial and numerical; scheduling; power- aware/energy-efficient; machine learning; modeling & analysis; scalability
Applications, including big data; data analytics; computational science & engineering (e.g., aerospace, arts; biology, finance, geology); scalability
Software, including systems software; middleware; programming models, languages, and environments; compilers; operating systems; run-time systems; resource management; performance modeling and evaluation