Difference between revisions of "IEEE Cluster 2021"

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{{Event
 
{{Event
 
|Acronym=IEEE Cluster 2021
 
|Acronym=IEEE Cluster 2021
|Title=IEEE Cluster Computing
+
|Title=IEEE Cluster Conference
 
|Ordinal=23
 
|Ordinal=23
 
|Series=IEEE Cluster
 
|Series=IEEE Cluster
Line 7: Line 7:
 
|Start date=2021/09/10
 
|Start date=2021/09/10
 
|End date=2021/09/07
 
|End date=2021/09/07
 +
|Submission deadline=2021/05/17
 
|Homepage=https://clustercomp.org/2021/
 
|Homepage=https://clustercomp.org/2021/
 
|City=Portland
 
|City=Portland
 
|State=Oregon
 
|State=Oregon
 
|Country=USA
 
|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
 
}}
 
}}
 +
=== 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

Latest revision as of 13:55, 8 April 2021

IEEE Cluster 2021
IEEE Cluster Conference
Ordinal 23
Event in series IEEE Cluster
Dates 2021/09/10 (iCal) - 2021/09/07
Homepage: https://clustercomp.org/2021/
Submitting link: https://ssl.linklings.net/conferences/ieeecluster/
Location
Location: Portland, Oregon, USA
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Important dates
Abstracts: 2021/05/10
Papers: 2021/05/17
Submissions: 2021/05/17
Notification: 2021/07/05
Camera ready due: 2021/07/30
Committees
General chairs: Toni Cortes, Kathryn Mohror
PC chairs: Ewa Deelman, Lin Gan
Table of Contents


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