(mobo import Concept___Event_For_Confident-migrated) |
(mobo import Concept___Events-migrated) |
||
Line 8: | Line 8: | ||
|City=Portland | |City=Portland | ||
|State=Oregon | |State=Oregon | ||
− | |Country= | + | |Country=Country:US |
|Abstract deadline=2021/05/10 | |Abstract deadline=2021/05/10 | ||
|Paper deadline=2021/05/17 | |Paper deadline=2021/05/17 | ||
Line 23: | Line 23: | ||
|Start Date=2021/09/10 | |Start Date=2021/09/10 | ||
|End Date=2021/09/07 | |End Date=2021/09/07 | ||
+ | |Event Status=as scheduled | ||
+ | |Event Mode=on site | ||
}} | }} | ||
=== Topics === | === Topics === |
Revision as of 14:28, 6 September 2022
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