Call for Papers

Artificial Intelligence (AI)

• Deep learning and AI at scale
• HPC for training and inference workloads
• Integration of AI/ML in scientific computing
• Scalable AI frameworks and hardware acceleration

Architecture

• Innovations in HPC architectures and hardware design
• Accelerators (GPUs, FPGAs, TPUs) and heterogeneous systems
• Memory, interconnects, and I/O systems
• Resilient and power-aware architectural solutions

Applications

• HPC applications in science, engineering, and industry
• AI/ML applications in HPC settings
• Grand challenge simulations and real-world use cases
• Application co-design for emerging architectures

Cloud and Distributed HPC

• HPC in the cloud and hybrid environments
• Elastic and serverless computing models
• Orchestration, containerization, and virtualization in HPC
• Workflow management and scheduling across distributed systems

Multidisciplinary and Cross-Domain Research

• Cross-disciplinary HPC applications (e.g., bioinformatics, climate science, materials)
• Collaborative platforms bridging computational science and domain-specific needs
• Co-design involving software, hardware, and applications
• Education, training, and workforce development in HPC

Algorithms

• Parallel and distributed algorithms
• Scalable numerical and combinatorial methods
• Resilient and fault-tolerant algorithms for exascale
• Algorithms for hybrid and heterogeneous platforms

Performance

• Benchmarking and tuning on large-scale systems
• Performance modeling, prediction, and optimization
• Power-performance tradeoffs and energy-efficient computing
• Scalable performance tools and analysis frameworks

Programming Environments

• Compilers, tools, and runtime systems for large-scale systems
• Debugging, verification, and correctness tools
• Productivity-enhancing software environments
• Programming models, frameworks, and languages (MPI, OpenMP, CUDA, SYCL, etc.)

Quantum Computing

• Quantum algorithms with HPC integration
• Hybrid quantum-classical computing frameworks
• Simulators and tools for quantum research at scale
• HPC techniques supporting quantum workload execution

All submissions must be in PDF format, using the IEEE two-column conference template. US Letter size (8.5" x 11") paper, with a maximum length of 8 pages. Papers should be formatted in a two-column layout using a font size of at least 10 points.

Follow the author guidelines and template from the link:
https://www.ieee.org/conferences/publishing/templates.html

Page Length

Maximum manuscript length should be max 8 pages including citations. The paper must include an abstract between 100 – 200 words and a maximum of five keywords.

Review Process

Each submitted paper will go several stages of screening: similarity check, format check, scope and quality check. Papers which qualify for review would be sent to minimum 3 reviewers for their comments before TPC makes a decision on the paper. The review process is DOUBLE BLIND. Authors of the accepted papers will be informed through email. All accepted and presented papers in the conference would be submitted to IEEE Xplore for possible publication.