Información de la conferencia

PPoPP 2027: ACM SIGPLAN Annual Symposium Principles and Practice of Parallel Programming

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PPoPP
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Día de Entrega:
2026-08-03
Fecha de Notificación:
2026-10-26
Fecha de conferencia:
2027-03-20
Ubicación:
Salt Lake City, Utah, USA
Ediciones:
CCF: A   ICORE: B   QUALIS: A2   Vistas: 86412   Seguidores: 101   Asistentes: 10

Índice Conference Partner (CP-I)

93,5 / 100
Puesto n.º 24 de 5.693 congresos · 1% superior

N.º 4 de 341 en Sistemas y arquitectura

Reconocimiento académico (35%)
100
Selectividad en la revisión (20%)
88
Ediciones celebradas (20%)
93
Atención de la comunidad (10%)
72
Integridad del registro público (15%)
100

Datos utilizados: Categorías: CCF A, ICORE B, QUALIS A2 · Tasa de aceptación: 21.9% (media de 5 ediciones registradas) · Ediciones documentadas: 31 · Investigadores que lo siguen aquí: 101 · Investigadores que abrieron esta página en los últimos 24 meses: 38

Confianza 100 %: 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 1.1 · Calculado el 2026-10-05

Solicitud de Artículos

PPoPP 2027 (ACM SIGPLAN Annual Symposium Principles and Practice of Parallel Programming) is a CCF A / ICORE B / QUALIS A2 conference held in Salt Lake City, Utah, USA on 2027-03-20. The paper submission deadline is 2026-08-03. Acceptance notifications are sent on 2026-10-26.

Scope PPoPP is the premier forum for leading work on all aspects of parallel and performance programming, including theoretical foundations, techniques, languages, compilers, runtime systems, tools, applications, and practical experience. This symposium focuses on improving the programming productivity and performance engineering of all concurrent and parallel systems—multicore, multi-threaded, heterogeneous, clustered, and distributed systems, grids, accelerators such as ASICs, GPUs, FPGAs, data centers, clouds, large scale machines, and quantum computers. PPoPP is also interested in new and emerging parallel workloads and applications, such as artificial intelligence and large-scale scientific/enterprise workloads. Specific topics of interest include (but are not limited to): Languages, compilers, and runtime systems for parallel programs Parallel programming frameworks and domain-specific languages Parallel programming for emerging hardware, including AI accelerators, processor-in-memory, programmable logic, non-volatile memory technologies, and quantum computers High-performance libraries Parallel programming for deep memory hierarchies including nonvolatile memory Parallel algorithms Parallel applications including scientific computing and enterprise workloads Artificial intelligence and machine learning for parallel systems, including their use in system design, optimization, and runtime decisions Development, analysis, or management tools Performance analysis, debugging and optimization Productivity tools for parallel systems Software engineering for parallel programs Parallel programming theory and models Formal analysis and verification Concurrent data structures Synchronization and concurrency control Fault tolerance for parallel systems Middleware for parallel systems Papers should report on original research relevant to parallel programming and should contain enough background materials to make them accessible to the entire parallel programming research community. Papers describing experience should indicate how they illustrate general principles or lead to new insights; papers about parallel programming foundations should indicate how they relate to practice. PPoPP submissions will be evaluated based on their technical merit and accessibility. Submissions should clearly motivate the importance of the problem being addressed, compare to the existing body of work on the topic, and explicitly and precisely state the paper’s key contributions and results towards addressing the problem. Submissions should strive to be accessible both to a broad audience and to experts in the area.
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Tasa de aceptación

Tasa de aceptación media: 26.3% en 9 años (1999–2014).

AñoEnviadosAceptadosAceptados(%)
20141842815.2%
20131462617.8%
20121732615%
2007652233.8%
2006912527.5%
2005872731%
2003452044.4%
2001791721.5%
1999862630.2%

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