Welcome to IEEE Cluster 2015. The conference takes place in Chicago, Illinois, the third largest city in the United States and a major technological and cultural capital. The conference is held on September 9-11 (Wednesday through Friday) with affiliated workshops and tutorials occurring on September 8 (Tuesday). Cluster 2015 welcomes research papers, workshops, and tutorials on advances in topics related to cluster computing.
The special technical focus of this year’s conference is Exascale Computing.
Keynotes announced: Al Gara (Intel), Marc Snir (Argonne National Laboratory), and William Harrod (DOE ASCR)
Registration and Camera-ready Paper Submission Open!
Technical Program Now Available Online!
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The conference’s topics of interest include, but are not limited to:
Area 1: Applications, Algorithms, and Libraries
- HPC Applications on Clusters
- Performance Modeling and Measurement
- Novel Algorithms on Clusters
- Hybrid Programming Techniques (MPI+OpenMP, MPI+OpenCL, etc.)
- Cluster Benchmarks
- Application-level Libraries on Clusters
- Effective Use of Clusters in Novel Applications
- Performance Evaluation Tools
Area 2: Architecture, Networks/Communication, and Management
- Energy-efficient Cluster Architectures
- Node and System Architecture
- Packaging, Power and Cooling
- GPU/ManyCore and Heterogeneous Clusters
- Interconnect/memory Architectures
- Single System Image Clusters
- Administration and Maintenance Tools
Area 3: Programming and System Software
- Cluster System Software/Operating Systems
- 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 Environment on Clusters
- Fault Tolerance and High-availability
Area 4: Data, Storage, and Visualization
- Cluster Architecture for Big Data Storage and Processing
- Middleware for Big Data Management
- Cluster-based Cloud Architecture for Big Data
- 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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