会议信息

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

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截稿日期:
2026-05-10 已截稿
通知日期:
2026-05-25
会议日期:
2026-06-24
会议地点:
Jinan, China
届数:
10
浏览: 21141   关注: 14   参加: 5
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HP3C
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会伴指数 (CP-I)

49.9 / 100
全站第 1,747 名 / 共 5,771 个会议 · 前 31%

软件工程 第 129 / 249 系统与体系结构 第 169 / 342 网络与通信 第 254 / 874

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
65
社区关注 (10%)
43
资料公开度 (15%)
35

用到的输入: 有据可查的届次：10 · 在会伴关注它的研究者：14 人 · 过去 24 个月打开过本页的研究者：8 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.2 · 算于 2026-11-11

征稿

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
由 Dunn Carl 最后更新于

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