Información de la conferencia
ICPP 2025: International Conference on Parallel Processing
https://icpp2025.sdsc.edu/
Día de Entrega:
2025-04-21
Fecha de Notificación:
2025-06-10
Fecha de Conferencia:
2025-09-08
Ubicación:
San Diego, California, USA
Años:
54
CCF: b   CORE: a   QUALIS: a2   Vistas: 366132   Seguidores: 222   Asistentes: 42

Solicitud de Artículos
System Architecture & Hardware Components: Parallel Computer Architecture and Accelerator Designs, Large-Scale System Architectures, Datacenter/Warehouse Computing Architecture, Machine Learning Architectures, Micro-Architecture for Parallel Computing, Architectural Support for Networking, New Memory and Storage Technologies, Near-Memory Computing, Parallel I/O, Architectures for Edge Computing, Post-Moore, Architectural Support for Reliability and Security.  

Programming Environments & System Software: Software: System Software, Middleware, Runtimes for parallel computing, Parallel and Distributed Programming Languages & Models, Programming Systems, Compilers, Libraries, Programming Infrastructures and Tools, Operating and Real-Time Systems. 

Multidisciplinary: Multidisciplinary: Innovation combining multiple disciplines, Converged HPC Cloud Edge computing, Complex Workflows, Methodologies for Performance Portability and/or Productivity across Architectures.  	

Algorithms: Parallel and Distributed Algorithms, Parallel and Distributed Combinatorial & Numerical Methods, Scheduling Algorithms for Parallel and Distributed Applications and Platforms, Algorithmic Innovations for Parallel and Distributed Machine Learning, Post-Moore parallel algorithms.  	

Performance: Performance: Performance Modeling of Parallel or Distributed Computing, Performance Evaluation of Parallel or Distributed Systems; Scalability, Simulation Models, Analytical Models, Measurement-Based Evaluation. 					

Applications & Use Cases: Parallel, Distributed and Accelerated Applications, Scalable Data Analytics & Applied Machine Learning, Computational and Data-Driven Science & Engineering in computational sciences including, but not limited to Astrophysics, Computational Chemistry and Physics, Life Sciences, Earth Science, Materials Science, Finance, Geology and Engineering. 

AI in Computing:  AI for Application & Use Case, AI for System Architecture & Hardware Components, AI for Multidisciplinary, AI for Performance and AI for Programming Environments & Systems Software	

Quantum Computing:  Parallel simulators of quantum computers, use of parallel computing for quantum compilation and optimization, co-design of parallel- and quantum-computing applications, hybrid parallel/quantum software-development tools.  		
Última Actualización Por Dou Sun en 2025-04-04
Coeficiente de Aceptación
AñoEnviadosAceptadosAceptados(%)
20113638122.3%
20092207132.3%
20082638130.8%
20062006432%
20052416928.6%
20041906534.2%
20031926935.9%
20021886735.6%
20011396546.8%
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