SCI2025 Poster Session provides a platform for contributors to share new developments, scientific research, and engineering activities in high performance computing, AI and Quantum technology.
Call for Posters
Posters are a valuable medium for presenting innovative ideas, research findings, and technical advancements in a visually engaging format. They allow for concise communication of complex concepts and foster interactive discussions among attendees.
SCI2025 invites experts, researchers, industry leaders, and educators to propose poster presentations that spark dynamic conversations on topics shaping the future of High-Performance Computing (HPC), Artificial Intelligence (AI), Quantum Computing, and multi-disciplinary domains.
Topics for submission
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