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SCA'' 2027: Supercomputing Asia

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SCA''
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截稿日期:
2026-09-30 还有 5 天
通知日期:
2026-11-20
会议日期:
2027-03-01
会议地点:
Singapore
届数:
浏览: 8593   关注: 0   参加: 0

会伴指数 (CP-I)

40.5 / 100
全站第 4,970 名 / 共 5,687 个会议 · 前 88%

系统与体系结构 第 303 / 341

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%)
19
社区关注 (10%)
10
资料公开度 (15%)
55

用到的输入: 有据可查的届次：1 · 过去 24 个月打开过本页的研究者：3 人

公开资料里还缺: 历年录用率 (+4.5) · 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 1.1 · 算于 2026-09-25

征稿

SCA'' 2027 (Supercomputing Asia) is an academic conference held in Singapore on 2027-03-01. The paper submission deadline is 2026-09-30. Acceptance notifications are sent on 2026-11-20.

The SCA2027 Technical Programme consists of six tracks. The Topics of interest include, but are not limited to: APPLICATIONS & ALGORITHMS High performance applications (high speed, low memory, low power simulations) Computational science Numerical linear algebra and its applications High performance library and software framework for applications Parallel and vectorization algorithms Hybrid/heterogeneous/accelerated algorithms Fault-tolerant algorithms Graph algorithms ARCHITECTURES & NETWORKS Processor architecture advancements Accelerator technologies (GPUs, FPGAs, ASICs) Network architecture and interconnects Memory hierarchy and management Energy-efficient processor and accelerator design Dependable and fault-tolerant architectures Emerging processor and network technologies Integration of new technologies in processor and network design EMERGING TECHNOLOGIES Quantum Computing Neuromorphic computing Post von-Neumann and Post Moore architectures Future trends on emerging technologies Hardware specialization and special-purpose computing Stochastic computing and approximate computing Application of new memory technologies Programming models and runtimes for emerging architectures MACHINE LEARNING AND AI Machine learning algorithms and applications Deep learning techniques and frameworks AI integration in HPC AI ethics and bias AI-driven data analytics Real-world AI applications in various industries Future trends in AI PROGRAMMING MODELS & SYSTEM SOFTWARE Programming languages and compilation techniques Tools and libraries for performance and productivity Performance portability System management, resource management and scheduler Optimization for communication and memory Techniques for testing, debugging, reproducibility and determinism Techniques for fault tolerance and energy efficiency DATA, STORAGE & VISUALISATION Big data processing and analytics Distributed and parallel file systems Storage architectures and systems Data visualization techniques Data provenance and traceability High-performance I/O and storage optimization Visualization and image processing in HP
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