Información de la conferencia

ARCS 2027: International Conference on Architecture of Computing Systems

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Día de Entrega:
2026-12-14 Faltan 37 días
Fecha de Notificación:
2027-02-08
Fecha de conferencia:
2027-03-09
Ubicación:
Magdeburg, Germany
Ediciones:
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QUALIS: B2   Vistas: 36908   Seguidores: 3   Asistentes: 0
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Índice Conference Partner (CP-I)

64,4 / 100
Puesto n.º 469 de 5.770 congresos · 9% superior
Reconocimiento académico (35%)
68
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
100
Atención de la comunidad (10%)
24
Integridad del registro público (15%)
55

Datos utilizados: Categorías: QUALIS B2 · Ediciones documentadas: 40 · Investigadores que lo siguen aquí: 3 · Investigadores que abrieron esta página en los últimos 24 meses: 3

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Premios al mejor artículo (+2,3)
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Confianza 80 %: la parte de la puntuación respaldada por datos observados y no por la línea base neutra. Cómo se calcula esta puntuación · Ver la clasificación · Versión del algoritmo 1.2 · Calculado el 2026-11-07

Solicitud de Artículos

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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