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ICA3PP 2026: International Conference on Algorithms and Architectures for Parallel Processing

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ICA3PP
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투고 마감일:
2026-07-25 Extended
통보일:
2026-08-30
개최일:
2026-10-26
개최지:
Exeter, UK
개최 횟수:
26
주최측:
CCF: C   ICORE: C   QUALIS: B3   조회: 187548   팔로우: 208   참가: 74

회반 지수 (CP-I)

64.7 / 100
전체 5,693개 중 448위 · 상위 8%

이론·알고리즘 분야 142개 중 32위 시스템·아키텍처 분야 341개 중 76위

학술적 인정 (35%)
66
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
89
커뮤니티 관심도 (10%)
86
공개 자료 충실도 (15%)
35

사용한 입력: 수록 등급: CCF C, ICORE C, QUALIS B3 · 확인되는 개최 횟수: 26 · 회반에서 팔로우 중인 연구자: 208명 · 지난 24개월 동안 이 페이지를 연 연구자: 100명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 80% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-10-02

논문 모집

ICA3PP 2026 (International Conference on Algorithms and Architectures for Parallel Processing) is a CCF C / ICORE C / QUALIS B3 conference held in Exeter, UK on 2026-10-26. The paper submission deadline is 2026-07-25 (extended). Acceptance notifications are sent on 2026-08-30.

Scope and Topics We invite submissions from academia, government and industry that present novel research on all aspects of parallel and distributed computing. Topics of ICA3PP include but are not limited to the following areas: Track 1: Parallel and Distributed Architectures Parallel and Heterogeneous Architectures Parallel Programming Paradigms Energy-Efficient Parallel and Distributed Systems Service-oriented Architectures Blockchain Architecture Quantum and Neuromorphic Computing Architectures Hardware Accelerators for Generative AI Track 2: Software Systems and Programming Models Cluster, Distributed & Parallel Operating Systems and Middleware System Software for Parallel and Concurrent Programming Programming Models for Compute, Storage and Memory Parallel File Systems and Storage Parallel and Distributed Databases Parallel Programming Theory and Models Tools for Programming and Analysis of System Software Serverless Computing and Cloud-Native Platforms Track 3: Parallel and Distributed Algorithms and Applications Reliability and Fault-tolerant Computing High-performance Scientific Computing Parallel and Distributed Algorithms Resource Management and Scheduling Federated Learning and Decentralized AI Distributed Training and Inference for Foundation Models (LLMs) Multimedia in Parallel Computing Parallel Computing in Bioinformatics Industrial Applications Track 4: Service Dependability and Security in Distributed and Parallel Systems Dependability Issues in Computer Networks and Communications Dependability in Parallel and Distributed Systems Dependability of Software Defined Networks Self-healing, Self-protecting and Fault-tolerant Systems Network and Information Security Trust, Security and Privacy in Cloud computing, Social Networks, and Internet of Things Security and Privacy in Parallel and Distributed Computing Zero-Trust Architectures in Distributed Systems Track 5: Network Architectures and Algorithms Wireless and Mobile Networks High Performance Networks and Communication AI/Machine Learning for Networking Network and Interconnect Architectures SDN, NFV and Network Programming Energy Efficiency in Networks Network Measurement and Parallel Processing Edge-to-Cloud Continuum and Orchestration Track 6: Big Data Management and Analysis Architecture, Networks and Systems of Big Data Big Data Applications, Algorithms and Data Structures Research and Development Trends of Big Data Big Data Benchmarking, Monitoring, and Management Security and Privacy of Big Data Big Data Interoperability and Orchestration Parallel Processing for Big Data Distributed Data Analytics and Applications Track 7: Internet of Things and Cyber-Physical-Social Computing Machine Learning and Edge AI for IoT Pervasive/Ubiquitous Control, Computing and Networking Social Computing and Analytics on Cyber-Physical Data Smart Communities with Cyber-Physical-Social Systems Ubiquitous Sensing in Social Networks Cyber-Physical-Social Systems and Networks Cyber-Physical-Social Applications Digital Twins and Industrial IoT (IIoT) Track 8: Performance Modeling and Evaluation Performance of Parallel & Distributed Computing Systems Software and Hardware Reliability, Testing, Verification and Validation Tools and Environments for Parallel & Distributed Software Development Optimization, Modeling and Simulation Stochastic Analysis, Statistical Analysis and Simulation Planning, Scheduling and Quality-of-Service Game theory, Economics and Control Theory Performance Analysis of Large-scale AI Workloads
최종 수정: Rui Jin ()

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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
CKnowledge-Based Systems7.2Elsevier0950-7051
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
CIEEE Transactions on Industrial Informatics11.7IEEE1551-3203
CIEEE Internet of Things Journal8.9IEEE2327-4662
CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
CExpert Systems with Applications7.5Elsevier0957-4174
CIEEE Transactions on Big Data5.7IEEE2332-7790
CComputer Communications4.3Elsevier0140-3664

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