Difference between revisions of "CCGrid 2019"

From Openresearch
Jump to: navigation, search
m (Soeren moved page Openresearch:CCGrid 2019 to CCGrid 2019)
 
(One intermediate revision by one other user not shown)
Line 22: Line 22:
 
|has Keynote speaker=Azer Bestavros, Volker Markl, Idit Keidar
 
|has Keynote speaker=Azer Bestavros, Volker Markl, Idit Keidar
 
}}
 
}}
 +
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 22:51, 24 February 2020

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
Loading map...

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

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.