Difference between revisions of "ICPP 2017"
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{{Event | {{Event | ||
| − | |||
|Acronym=ICPP 2017 | |Acronym=ICPP 2017 | ||
|Series=ICPP | |Series=ICPP | ||
| − | |End date= | + | |Type=Conference |
| + | |Field=Parallel Processing | ||
| + | |Start date=2017/05/03 | ||
| + | |End date=2017/06/03 | ||
| + | |Homepage=www.waset.org/conference/2017/03/rome/ICPP | ||
|City=Rome | |City=Rome | ||
|Country=Italy | |Country=Italy | ||
| − | |||
| − | |||
| − | |||
}} | }} | ||
| + | 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 | ||
Revision as of 11:52, 23 July 2019
| ICPP 2017 | |
|---|---|
| Event in series | ICPP |
| Dates | 2017/05/03 (iCal) - 2017/06/03 |
| Homepage: | www.waset.org/conference/2017/03/rome/ICPP |
| Location | |
| Location: | Rome, Italy |
| 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