Difference between revisions of "IEEE Cluster 2021"
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|has program chair=Ewa Deelman, Lin Gan | |has program chair=Ewa Deelman, Lin Gan | ||
|Acronym =IEEE Cluster 2021 | |Acronym =IEEE Cluster 2021 | ||
| − | |End date =2021 | + | |End date =2021-09-07 |
|Series =IEEE Cluster | |Series =IEEE Cluster | ||
|Type =Conference | |Type =Conference | ||
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|State =US/OR | |State =US/OR | ||
|City =US/OR/Portland | |City =US/OR/Portland | ||
| + | |Year =2021 | ||
|Homepage =https://clustercomp.org/2021/ | |Homepage =https://clustercomp.org/2021/ | ||
|Ordinal =23 | |Ordinal =23 | ||
| − | |Start date =2021 | + | |Start date =2021-09-10 |
|Title =IEEE Cluster Conference | |Title =IEEE Cluster Conference | ||
}} | }} | ||
Latest revision as of 04:16, 6 December 2021
Event Rating
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List of all ratings can be found at IEEE Cluster 2021/rating
| IEEE Cluster 2021 | |
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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: | US/OR/Portland, US/OR, US |
| 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