Conference Information

HP3C 2026: International Conference on High Performance Compilation, Computing and Communications

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Submission Date:
2026-05-10 Extended
Notification Date:
2026-05-25
Conference Date:
2026-06-24
Location:
Jinan, China
Years:
10
Viewed: 20758   Tracked: 14   Attend: 5

Conference Partner Index (CP-I)

49.9 / 100
Ranked #1,621 of 5,687 conferences · Top 29%

#124 of 247 in Software Engineering #156 of 341 in Systems & Architecture #232 of 864 in Networks & Communications

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
65
Community attention (10%)
43
Public record completeness (15%)
35

Inputs used: Editions on record: 10 · Researchers following it here: 14 · Researchers who opened this page in the past 24 months: 8

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-28

Call For Papers

HP3C 2026 (International Conference on High Performance Compilation, Computing and Communications) is an academic conference held in Jinan, China on 2026-06-24. The paper submission deadline is 2026-05-10 (extended). Acceptance notifications are sent on 2026-05-25.

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. Topics: # Track 1: Compilation Technologies and Optimization - 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 - 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 - 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 - 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 - 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 - 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
Last updated by Dunn Carl on

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