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|Event Status=as scheduled | |Event Status=as scheduled | ||
|Event Mode=online | |Event Mode=online | ||
| − | |Academic Field=Computer Science; Distributed Computing | + | |Academic Field=Computer Science; Distributed Computing; Parallel Computing |
|Official Website=https://clustercomp.org/2021/ | |Official Website=https://clustercomp.org/2021/ | ||
|Submission Link=https://ssl.linklings.net/conferences/ieeecluster/ | |Submission Link=https://ssl.linklings.net/conferences/ieeecluster/ | ||
| + | |DOI=10.25798/105h-tb38 | ||
|Type=Conference | |Type=Conference | ||
|has general chair=Toni Cortes, Kathryn Mohror | |has general chair=Toni Cortes, Kathryn Mohror | ||
Latest revision as of 13:16, 28 November 2023
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Venue
Warning: Venue is missing. The map might not show the exact location.
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
