Difference between revisions of "CCGrid 2019"
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|has Keynote speaker=Azer Bestavros, Volker Markl, Idit Keidar | |has Keynote speaker=Azer Bestavros, Volker Markl, Idit Keidar | ||
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| + | CCGrid 2019 will have a focus on important and immediate issues that are significantly influencing all aspects of cluster, cloud, grid and edge computing. | ||
| + | |||
| + | |||
| + | ===Topics=== | ||
| + | |||
| + | Topics of interest include, but are not limited to: | ||
| + | |||
| + | Applications and Data Science: Applications to real and complex problems in science, engineering, business, and society; user studies; experiences with large-scale deployments, systems, or applications.<br> | ||
| + | Architecture and Networking: Design and use of emergent system architectures; multicores; power and cooling; power-efficient ("green") computing; security and reliability; high availability solutions; high performance GPU applications. | ||
Latest revision as of 19:43, 1 April 2022
| CCGrid 2019 | |
|---|---|
International Symposium on Cluster Computing and the Grid 2019
| |
| Event in series | CCGrid |
| Dates | 2019/05/14 (iCal) - 2019/05/17 |
| Homepage: | https://www.ccgrid2019.org/ |
| Location | |
| Location: | Larnaca, Cyprus |
| Important dates | |
| Workshops: | 2018/09/30 |
| Tutorials: | 2019/01/15 |
| Papers: | 2018/12/14 |
| Notification: | 2019/02/15 |
| Camera ready due: | 2019/05/28 |
| Committees | |
| Organizers: | University of Cyprus |
| General chairs: | Marios Dikaiakos, Schahram Dustdar |
| PC chairs: | Sarunas Girdzijauskas, George Pallis, Yongwei Wu |
| Workshop chairs: | Adel Nadjaran Toosi, Borja Sotomayor |
| Seminars Chair: | Adel Nadjaran Toosi, Borja Sotomayor |
| Keynote speaker: | Azer Bestavros, Volker Markl, Idit Keidar |
| Table of Contents | |
CCGrid 2019 will have a focus on important and immediate issues that are significantly influencing all aspects of cluster, cloud, grid and edge computing.
Topics
Topics of interest include, but are not limited to:
Applications and Data Science: Applications to real and complex problems in science, engineering, business, and society; user studies; experiences with large-scale deployments, systems, or applications.
Architecture and Networking: Design and use of emergent system architectures; multicores; power and cooling; power-efficient ("green") computing; security and reliability; high availability solutions; high performance GPU applications.