Difference between revisions of "Event:IEEE Cluster 2021"

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{{Event
 
{{Event
−
|Acronym=IEEE Cluster 2021
+
|Acronym=Cluster 2021
−
|Title=IEEE Cluster Conference
+
|Title=2021 IEEE International Conference on Cluster Computing
 
|Ordinal=23
 
|Ordinal=23
 +
|In Event Series=Event Series:IEEE Cluster
 +
|Single Day Event=no
 +
|Start Date=2021/09/07
 +
|End Date=2021/09/10
 +
|Event Status=as scheduled
 +
|Event Mode=online
 +
|Academic Field=Computer Science; Distributed Computing; Parallel Computing
 +
|Official Website=https://clustercomp.org/2021/
 +
|Submission Link=https://ssl.linklings.net/conferences/ieeecluster/
 +
|DOI=10.25798/105h-tb38
 
|Type=Conference
 
|Type=Conference
−
|Submission deadline=2021/05/17
 
−
|Homepage=https://clustercomp.org/2021/
 
−
|City=Portland
 
−
|State=Oregon
 
−
|Country=USA
 
−
|Abstract deadline=2021/05/10
 
−
|Paper deadline=2021/05/17
 
−
|Notification=2021/07/05
 
−
|Camera ready=2021/07/30
 
−
|Submitting link=https://ssl.linklings.net/conferences/ieeecluster/
 
 
|has general chair=Toni Cortes, Kathryn Mohror
 
|has general chair=Toni Cortes, Kathryn Mohror
 
|has program chair=Ewa Deelman, Lin Gan
 
|has program chair=Ewa Deelman, Lin Gan
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|pageEditor=User:Curator 53
 
|pageEditor=User:Curator 53
 
|contributionType=1
 
|contributionType=1
−
|In Event Series=Event Series:IEEE Cluster
 
−
|Single Day Event=no
 
−
|Start Date=2021/09/10
 
−
|End Date=2021/09/07
 
 
}}
 
}}
−
=== Topics ===
+
{{Event Deadline
−
==== Area 1: Application, Algorithms, and Libraries ====
+
|Notification Deadline=2021/07/05
 +
|Abstract Deadline=2021/05/10
 +
|Paper Deadline=2021/05/17
 +
|Camera-Ready Deadline=2021/07/30
 +
|Submission Deadline=2021/05/17
 +
}}
 +
{{Organizer
 +
|Contributor Type=organization
 +
|Organization=IEEE Computer Society, Institute of Electrical and Electronics Engineers
 +
}}
 +
{{Organizer
 +
|Contributor Type=organization
 +
|Organization=IEEE Technical Community on Scalable Computing, IEEE Computer Society, Institute of Electrical and Electronics Engineers
 +
}}
 +
{{Event Metric}}
 +
{{S Event}}
 +
===Topics===
 +
====Area 1: Application, Algorithms, and Libraries====
 
   
 
   
−
*     HPC and Big Data application studies on large-scale clusters
+
*HPC and Big Data application studies on large-scale clusters
−
*     Applications at the boundary of HPC and Big Data
+
*Applications at the boundary of HPC and Big Data
−
*     New applications for converged HPC/Big Data clusters
+
*New applications for converged HPC/Big Data clusters
−
*     Application-level performance and energy modeling and measurement
+
*Application-level performance and energy modeling and measurement
−
*     Novel algorithms on clusters
+
*Novel algorithms on clusters
−
*     Hybrid programming techniques in applications and libraries (e.g., MPI+X)
+
*Hybrid programming techniques in applications and libraries (e.g., MPI+X)
−
*     Cluster benchmarks
+
*Cluster benchmarks
−
*     Application-level libraries on clusters
+
*Application-level libraries on clusters
−
*     Effective use of clusters in novel applications
+
*Effective use of clusters in novel applications
−
*     Performance evaluation tools
+
*Performance evaluation tools
  
−
==== Area 2: Architecture, Network/Communications, and Management ====
+
====Area 2: Architecture, Network/Communications, and Management====
 
   
 
   
−
*     Node and system architecture for HPC and Big Data clusters
+
*Node and system architecture for HPC and Big Data clusters
−
*     Architecture for converged HPC/Big Data clusters
+
*Architecture for converged HPC/Big Data clusters
−
*     Energy-efficient cluster architectures
+
*Energy-efficient cluster architectures
−
*     Packaging, power and cooling
+
*Packaging, power and cooling
−
*     Accelerators, reconfigurable and domain-specific hardware
+
*Accelerators, reconfigurable and domain-specific hardware
−
*     Heterogeneous clusters
+
*Heterogeneous clusters
−
*     Interconnect/memory architectures
+
*Interconnect/memory architectures
−
*     Single system/distributed image clusters
+
*Single system/distributed image clusters
−
*     Administration, monitoring and maintenance tools
+
*Administration, monitoring and maintenance tools
  
−
==== Area 3: Programming and System Software ====
+
====Area 3: Programming and System Software====
 
   
 
   
−
*     Cluster system software/operating systems
+
*Cluster system software/operating systems
−
*     Programming models for converged HPC/Big Data/Machine Learning systems
+
*Programming models for converged HPC/Big Data/Machine Learning systems
−
*     System software supporting the convergence of HPC, Big Data, and Machine Learning processing
+
*System software supporting the convergence of HPC, Big Data, and Machine Learning processing
−
*     Cloud-enabling cluster technologies and virtualization
+
*Cloud-enabling cluster technologies and virtualization
−
*     Energy-efficient middleware
+
*Energy-efficient middleware
−
*     Cluster system-level protocols and APIs
+
*Cluster system-level protocols and APIs
−
*     Cluster security
+
*Cluster security
−
*     Resource and job management
+
*Resource and job management
−
*     Programming and software development environments on clusters
+
*Programming and software development environments on clusters
−
*     Fault tolerance and high-availability
+
*Fault tolerance and high-availability
  
−
==== Area 4: Data, Storage, and Visualization ====
+
====Area 4: Data, Storage, and Visualization====
  
−
* Cluster architectures for Big Data storage and processing
+
*Cluster architectures for Big Data storage and processing
−
*     Middleware for Big Data management
+
*Middleware for Big Data management
−
*     Cluster-based cloud architectures for Big Data
+
*Cluster-based cloud architectures for Big Data
−
*     Storage systems supporting the convergence of HPC and Big Data processing
+
*Storage systems supporting the convergence of HPC and Big Data processing
−
*     File systems and I/O libraries
+
*File systems and I/O libraries
−
*     Support and integration of non-volatile memory
+
*Support and integration of non-volatile memory
−
*     Visualization clusters and tiled displays
+
*Visualization clusters and tiled displays
−
*     Big data visualization tools
+
*Big data visualization tools
−
*     Programming models for Big Data processing
+
*Programming models for Big Data processing
−
*     Big Data application studies on cluster architectures
+
*Big Data application studies on cluster architectures

Latest revision as of 13:16, 28 November 2023

Deadlines
2021-07-05
2021-05-10
2021-05-17
2021-07-30
2021-05-17
10
May
2021
Abstract
17
May
2021
Paper
17
May
2021
Submission
5
Jul
2021
Notification
30
Jul
2021
Camera-Ready
organization
organization
Metrics
Venue
Loading map...

Topics

Area 1: Application, Algorithms, and Libraries

  • HPC and Big Data application studies on large-scale clusters
  • Applications at the boundary of HPC and Big Data
  • New applications for converged HPC/Big Data clusters
  • Application-level performance and energy modeling and measurement
  • Novel algorithms on clusters
  • Hybrid programming techniques in applications and libraries (e.g., MPI+X)
  • Cluster benchmarks
  • Application-level libraries on clusters
  • Effective use of clusters in novel applications
  • Performance evaluation tools

Area 2: Architecture, Network/Communications, and Management

  • Node and system architecture for HPC and Big Data clusters
  • Architecture for converged HPC/Big Data clusters
  • Energy-efficient cluster architectures
  • Packaging, power and cooling
  • Accelerators, reconfigurable and domain-specific hardware
  • Heterogeneous clusters
  • Interconnect/memory architectures
  • Single system/distributed image clusters
  • Administration, monitoring and maintenance tools

Area 3: Programming and System Software

  • Cluster system software/operating systems
  • Programming models for converged HPC/Big Data/Machine Learning systems
  • System software supporting the convergence of HPC, Big Data, and Machine Learning processing
  • Cloud-enabling cluster technologies and virtualization
  • Energy-efficient middleware
  • Cluster system-level protocols and APIs
  • Cluster security
  • Resource and job management
  • Programming and software development environments on clusters
  • Fault tolerance and high-availability

Area 4: Data, Storage, and Visualization

  • Cluster architectures for Big Data storage and processing
  • Middleware for Big Data management
  • Cluster-based cloud architectures for Big Data
  • Storage systems supporting the convergence of HPC and Big Data processing
  • File systems and I/O libraries
  • Support and integration of non-volatile memory
  • Visualization clusters and tiled displays
  • Big data visualization tools
  • Programming models for Big Data processing
  • Big Data application studies on cluster architectures
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