中国计算机学会(CCF)推荐学术会议-C(计算机体系结构/并行与分布计算/存储系统):CF 2026

The 23rd ACM International Conference on Computing Frontiers (CF'26) will take place May 19th-21th, 2026 in Catania, Sicily, Italy. Participation is in-person only.

Computing Frontiers (CF) is an eclectic, interdisciplinary, collaborative community of researchers investigating emerging technologies in the broad field of computing: our common goal is to drive the scientific breakthroughs that support society.

重要信息

CCF推荐:C(计算机体系结构/并行与分布计算/存储系统)

录用率:32.2%(29/90,2025年)

时间地点:2026年5月19日-西西里岛·意大利

截稿时间:2026年1月12日

大会官网:https://www.computingfrontiers.org/2026/

Call for Papers

Hardware Frontiers

Emerging processor architectures, accelerators and memory systems.

Post-exascale high-performance computing.

Quantum computing systems, runtimes, algorithms and applications.

Post-Moore's Law Systems: Neuromorphic, biologically-inspired, superconducting, and hyperdimensional computing.

Distributed Systems and Networking Frontiers

Multi and Hybrid Cloud computing, and challenges.

IoT, CPS, edge and embedded computing systems.

Breakthroughs in edge-cloud continuum, satellite computing.

Sensor networks and wearable computing.

System Software and Runtime Frontiers

Virtualization and containerization.

Platforms for workflows and distributed progamming.

Compilers and optimizations for heterogeneous systems.

Big data platforms and analytics.

AI for Systems and Systems for AI

Distributed AI and federated learning.

System design for efficient AI.

AI for system optimizations.

Agentic AI and AIOps.

Cutting-edge Developments in Computing for Society and Emerging Applications

AI ethics: Privacy, sustainability, biases.

Emerging applications in education, health, smart cities and emerging markets.

Pushing the Boundaries of Cross-cutting Computing Challenges

Designing for scale and performance.

Energy efficiency and sustainability.

Security and privacy, impact of quantum and AI.

Reliability, resiliency and dependability.

Algorithmic innovations.

Benchmarking, performance analysis and modeling.

Paper Types

Full papers are expected to provide well-rounded contributions, where novelty, originality, and sufficient preliminary evaluation are included. Length: maximum of eight (8) pages (excluding references).

Short papers may be position papers or may describe preliminary or highly speculative work. Length: maximum of four (4) pages (including references).

Double-blind

As the review process is double-blind, the removal of all identifying information from paper submissions is required (e.g., cite own (previous) work in the third person, avoid references to machines and/or systems that can identify the paper authors, etc.).

相关推荐
feifeigo1231 天前
基于马尔可夫随机场模型的SAR图像变化检测源码实现
算法
高洁011 天前
多模态AI模型融合难?核心问题与解决思路
人工智能·深度学习·机器学习·数据挖掘·transformer
fengfuyao9851 天前
基于STM32的4轴步进电机加减速控制工程源码(梯形加减速算法)
网络·stm32·算法
碑 一1 天前
视频分割Video K-Net
人工智能·计算机视觉
renhongxia11 天前
ORACLE-SWE:量化Oracle 信息信号对SWE代理的贡献
人工智能·深度学习·学习·语言模型·分类
AI自动化工坊1 天前
Google LiteRT-LM生产级部署指南:如何在边缘设备实现高效LLM推理?
人工智能·ai·llama
无敌昊哥战神1 天前
深入理解 C 语言:巧妙利用“0地址”手写 offsetof 宏与内存对齐机制
c语言·数据结构·算法
互联网江湖1 天前
携程当学胖东来
人工智能
小白菜又菜1 天前
Leetcode 2075. Decode the Slanted Ciphertext
算法·leetcode·职场和发展
陌殇殇1 天前
001 Spring AI Alibaba框架整合百炼大模型平台 — 快速入门
人工智能·spring boot·ai