Edit Event: IEEE Cluster 2021

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Event description:

=== 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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