Regarding the current serious situation causing a lot of international travel bans all over the world, the organizing committee of IEEE Cluster 2020 is taking the following steps to minimize the disruption and make sure all submitters of accepted papers will be able to present their work during IEEE Cluster 2020:
For any circumstance where the presenter cannot make a travel to Kobe Japan due to restriction by your nation/organization or Japanese government decision, we will provide an opportunity for remote presentation. The conference will use sophisticated tele-conference tools to make an interactive presentation session. Remote presenters will use common remote presence software (Skype, Zoom, BlueJeans, etc.)
We are also preparing the conference to physically operate as our original plan, on September 14th-17th at Kobe Japan. So authors have the opportunity to present their work physically or remotely depending on specific circumstances.
Concerning paper submission/review and publication:
We will continue to follow the normal process of paper collection, peer review and decision of paper acceptance as usual.
All the accepted papers will be published on the proceedings of Cluster 2020 on the IEEE digital library.
Taisuke Boku & Pete Beckman, general co-chairs
Masaaki Kondo & Franck Cappello, program co-chairs
Clusters remain the primary system architecture for building many of today’s rapidly evolving computing infrastructures and are used to solve some of the most complex problems. The challenges to make them scalable, efficient, productive, and increasingly effective requires a community effort in the areas of cluster system design, advancing the capabilities of the software stack, system management and monitoring, and the design of algorithms, methods, and applications to leverage the overall infrastructure.
Following the successes of previous IEEE Cluster conferences, for IEEE Cluster 2020, which will be held September 14 – 17, 2020 in Kobe, we again solicit high-quality original work that advances the state-of-the-art in clusters and closely related fields. All papers will be rigorously peer-reviewed for their originality, technical depth and correctness, potential impact, relevance to the conference, and quality of presentation. Research papers must clearly demonstrate novel research contributions while papers reporting experiences must clearly describe the lessons learned and the resulting impact, along with the utility of the approach in comparison to previous work.
Authors must indicate the primary topic area of their submissions from the four topic areas provided below. In addition, they may optionally rank their paper relative to the overall set of topics. The papers may be submitted as either a full 10-page paper or as a shorter 4-page paper submission. Please note that references are not counted in the limits on the number of pages and a 10-page submission may be accepted with a caveat of transforming it into a 4-page version for presentation at the conference.
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
Paper Submission
Submissions must be in PDF format. Since the camera-ready version of accepted papers must be compliant with the IEEE Xplore format for publication, submitted papers must conform to the following Xplore layout, page limit, and font size.
Submissions are required to be no more than 10 pages (excluding references).
Submissions must be single-spaced, 2-column numbered pages in IEEE Xplore format (8.5×11-inch paper, margins in inches – top: 0.75, bottom: 1.0, sides:0.625, and between columns:0.25, main text: 10pt).
Papers will NOT be reviewed double-blind. Author names and affiliations should be included in the submitted paper, and appropriate citations of prior work must be included.
