IEEE Cluster 2021: Difference between revisions

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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 12:55, 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
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