IEEE Cluster 2021

IEEE Cluster 2021
IEEE Cluster Computing
Ordinal	23
Event in series	IEEE Cluster
Dates	2021/09/10 (iCal) - 2021/09/07
Homepage:	https://clustercomp.org/2021/
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