Call for Papers - IEEE Cluster 2025

IEEE Cluster 2025, the 27th edition of the conference series, will be held from September 2-5, 2025, in Edinburgh, United Kingdom. The conference is held in cooperation with SIGHPC and serves as a major international forum for presenting and sharing recent accomplishments and technological developments in cluster computing.

Topics of Interest

Submissions are solicited in the following four primary topic areas:

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

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

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
   • Management of local, center-wide and disaggregate resources and job
   • Programming and software development environments on clusters
   • Fault tolerance and high-availability
   • Administration, monitoring and maintenance tools

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/Large scale visualization tools
   • Big Data application studies on cluster architectures

Transversal and emerging topics such as AI for HPC, HPC for AI, quantum computing, accelerators, and many others, are welcome within the respective areas even if they are not mentioned explicitly.

Submission Guidelines

• Format: PDF format, conforming to IEEE Xplore layout.
• Page Limit: 10 pages maximum (excluding references).
• Formatting: Single-spaced, 2-column numbered pages in IEEE format (8.5x11-inch paper, margins: top: 0.75, bottom: 1.0, sides:0.625, between columns:0.25, main text: 10pt).
• Review Process: Dual-anonymous review process. Author names and affiliations must NOT be included in the submitted paper. Please refer to the double anonymous review policy for details.
• AI-Generated Text: Use of AI-generated content must be disclosed in the acknowledgments section, identifying the AI system used and the extent of its use.
• Templates: LaTeX and Word Templates are available here.
• Submission System: Please submit your paper via the online submission system.
• Presentation Requirement: For an accepted paper to be included in the proceedings, at least one author must register, attend in person, and present the paper in Edinburgh.

Important Dates

• Submission site open: February 3, 2025
• Full Papers due: May 6, 2025
• Paper Acceptance Notification: July 4, 2025
• Camera-ready deadline: August 8, 2025
• Conference: September 2-5, 2025

All deadlines are Anywhere on Earth (AoE).

Contact

Program Co-Chairs:

• Adrian Jackson, EPCC, University of Edinburgh, United Kingdom
• Toni Peña, Barcelona Supercomputing Centre, Spain