Special Session 1: Advancing Cyberspace Security with Neural Networks and AI - 基于神经网络与人工智能的网络空间安全前沿研究 
 Call for Special Sessions Proposal Click

We invite you to submit a paper for the HP3C-2026 International Conference and join us for a premier event at this vibrant city. We invite submissions from all relevant areas of the HP3C field, broadly defined. We will continue to accept abstracts after the deadline for as long as space is available. We encourage you to submit early.

• ▋ Click Here to Download CFP Flyer   Topics:

• # Track 1: Compilation Technologies and Optimization  Track Chairs: Wael Yafooz, Taibah University, Saudia Arabia Yuanzhe Cai, Shenzhen Technology University, China Nur Haliza Binti Abdul Wahab, University of Technology Malaysia, Malaysia - Parallel compilation & optimization - Machine learning enhanced compiler optimization - Heterogeneous computing & compiler design - Compiler backend optimization strategies - Intelligent compilation technologies - Compiler & cloud computing integration - Compiler security enhancements - Cross-platform compilation techniques - Automatic vectorization & parallelization - ML-based compilation autotuning	# Track 2: High Performance Computing Architectures  Track Chairs: Adrian Jackson, The University of Edinburgh, UK Shu Yin, ShanghaiTech University, China - Mainstream HPC architectures - Reconfigurable computing architectures - In-memory computing architectures - Near-data processing architectures - Processing-in-memory technologies - Energy-efficient HPC designs - Hardware/software co-design - Exascale computing challenges - Interconnect technologies & networks - Performance modeling & evaluation
  # Track 3: Parallel and Distributed Algorithms  Track Chairs: Wan Nor Shuhadah Wan Nik, Universiti Sultan Zainal Abidin, Malaysia Riktesh Srivastava, City University, Ajman, UAE - Genetic algorithms & evolutionary computing - Swarm intelligence & particle swarm optimization - Bio-inspired & nature-inspired algorithms - Parallel algorithm design & analysis - Distributed consensus algorithms - Load balancing & resource allocation - Fault-tolerant algorithms - High-performance graph algorithms - Numerical methods for parallel systems - Quantum computing algorithms	# Track 4: Communications and Networking for HPC  Track Chairs: Wei-Yu Chen, Chinese Culture University, China Elankovan A Sundararajan, The National University of Malaysia, Malaysia - High-performance interconnects - Deterministic networking for HPC - Intelligent QoS control mechanisms - Load balancing techniques - Software-defined networking for HPC - Network function virtualization - Low-latency communication protocols - Optical networking technologies - Wireless data center networks - Security in HPC networks
  # Track 5: HPC Applications and Case Studies  Track Chairs: Wei Xue, Tsinghua University, China Fei Ma, Xi'an Jiaotong-Liverpool University, China Chul Kim, Ryerson University, Canada - Scientific computing applications - Industrial HPC applications - HPC in healthcare & bioinformatics - Financial modeling & risk analysis - HPC for climate & weather modeling - Digital media & entertainment applications - HPC in energy exploration - Manufacturing & computational engineering - HPC success stories & deployment case studies - HPC education & training initiatives	# Track 6: AI-Enhanced HPC and Intelligent Computing  Track Chairs: Goh Wei Wei, Taylors University, Malaysia Rui Yang, Xian Jiaotong-Liverpool University, China - AI-for-HPC: Machine learning for system optimization - HPC-for-AI: High-performance deep learning - Distributed AI training frameworks - AI-driven resource allocation & scheduling - Neural architecture search at scale - AI accelerator architectures (TPU, NPU, etc.) - Federated learning & privacy-preserving AI - AI in scientific computing (SciML) - Large language model training & inference optimization - AI-enhanced compiler optimization - Intelligent data prefetching & caching - AI-assisted parallelization & performance tuning - Explainable AI in HPC systems - Energy-efficient AI computing - Benchmarking & evaluation of AI-HPC systems