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ARCS 2027: International Conference on Architecture of Computing Systems

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投稿締切日:
2026-12-14 残り 37 日
通知日:
2027-02-08
開催日:
2027-03-09
開催地:
Magdeburg, Germany
開催回数:
QUALIS: B2   閲覧: 36909   フォロー: 3   参加: 0
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会伴インデックス (CP-I)

64.4 / 100
全 5,770 件中 第 469 位 · 上位 9%
学術的評価 (35%)
68
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
100
コミュニティの注目度 (10%)
24
公開情報の充実度 (15%)
55

使用した入力: 収録ランク:QUALIS B2 · 確認できる開催回数:40 · 会伴でフォローしている研究者:3 人 · 過去 24 か月にこのページを開いた研究者:3 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 最優秀論文の記録 (+2.3)
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信頼度 80% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.2 · 算出日 2026-11-07

論文募集

ARCS 2027 (International Conference on Architecture of Computing Systems) is a QUALIS B2 conference held in Magdeburg, Germany on 2027-03-09. The paper submission deadline is 2026-12-14. Acceptance notifications are sent on 2027-02-08.

Special Focus The GI/ITG International Conference on Architecture of Computing Systems (ARCS) conferences series has over 39 years of tradition reporting leading edge research in computer architectures and operating systems. This year, the conference has a special focus on: "Unconventional Computing: Beyond von Neumann Computing" Modern workloads particularly AI/ML and Big Data processing, manipulate enormous amounts of data. As data movement increasingly dominates system design, conventional von Neumann architectures face fundamental constraints in performance, efficiency, and sustainability. The focus of the ARCS’27 conference will be on unconventional computing covering computer architectures and computing paradigms that explore alternative ways of representing, storing, and processing information. By relaxing the strict separation of memory and computation, and by exploiting physical phenomena or the intrinsic properties of emerging materials, approaches such as neuromorphic, quantum, reconfigurable, and in-memory computing open alternative approaches to efficient and scalable information processing. We welcome all contributions on hardware architectures, operating systems, design tools, as well as programming models, algorithms, and data structures that advance computing efficiency—from von Neumann and beyond. ARCS Tracks In addition to the following main conference topics, ARCS 2027 will host: A Special Track on Organic Computing. A Special Track on Dependability and Fault Tolerance A PhD Forum to present the work of early-stage doctoral students A Group Forum for early-career professors, researchers, and consortia to present their research Topics of Interest Hardware Architectures Reconfigurable architectures
 System-on-chip
 Parallel and distributed systems
 High-performance systems
 Heterogeneous many-core architectures
 Domain-specific accelerator architectures
 Real-time and mixed-criticality systems
 I/O and non-volatile memory
 Energy-efficient architectures
 Smart network technologies
 RISC-V and open-source architectures
 AI accelerators
 Dependable and fault-tolerant architectures
 Programming Models and Runtime Environments Programming models for heterogeneous computing
 Tools for power monitoring and performance analysis
 Operating systems, algorithms, and data structures for heterogeneous architectures
 Hypervisors and middleware for homogeneous and 
heterogeneous multi-/many-core computing platforms System management including but not limited to scheduling, 
memory management, power/thermal management, and RTOS Domain-specific languages and programming models
 Architecture-specific code generation and optimization
 Architectural simulation and emulation Cross-sectional Topics Near- and in-memory computing
 Memory and network compression
 Organic Computing
 Pervasive systems
 Autonomous systems
 Approximate Computing
 Hardware Security Safety
 Hardware in the loop
 Optimization and performance analysis
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関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
IEEE Computer Architecture Letters1.4IEEE1556-6056
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.5Elsevier0167-8655
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