Información de la conferencia

ASPLOS 2027: International Conference on Architectural Support for Programming Languages and Operating Systems

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Día de Entrega:
2026-09-09
Fecha de Notificación:
2026-12-21
Fecha de conferencia:
2027-04-11
Ubicación:
Heraklion, Crete, Greece
Ediciones:
CCF: A   ICORE: A*   QUALIS: A1   Vistas: 280493   Seguidores: 198   Asistentes: 12

Índice Conference Partner (CP-I)

96,3 / 100
Puesto n.º 8 de 5.683 congresos · 1% superior

N.º 1 de 247 en Ingeniería de software N.º 2 de 341 en Sistemas y arquitectura

Reconocimiento académico (35%)
100
Selectividad en la revisión (20%)
90
Ediciones celebradas (20%)
100
Atención de la comunidad (10%)
82
Integridad del registro público (15%)
100

Datos utilizados: Categorías: CCF A, QUALIS A1 · Tasa de aceptación: 19.9% (media de 5 ediciones registradas) · Ediciones documentadas: 40 · Investigadores que lo siguen aquí: 198 · Investigadores que abrieron esta página en los últimos 24 meses: 64

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 2026-09-21

Solicitud de Artículos

ASPLOS 2027 (International Conference on Architectural Support for Programming Languages and Operating Systems) is a CCF A / ICORE A* / QUALIS A1 conference held in Heraklion, Crete, Greece on 2027-04-11. The paper submission deadline is 2026-09-09. Acceptance notifications are sent on 2026-12-21.

Scope and Expectations We seek original, high-quality research submissions that improve and further the knowledge of the core ASPLOS disciplines: Operating Systems, Programming Languages, Computer Architecture, and their intersection. We particularly encourage new ideas and approaches. We embrace research that directly targets new problems in innovative ways. The research may target diverse goals, such as throughput, latency, energy, and security. Non-traditional topics that are centered in the core ASPLOS disciplines are encouraged, and the review process will be sensitive to the challenges of multidisciplinary work in emerging areas. We welcome submission of “experience papers” that have a novel component and that clearly articulate the lessons learned. We likewise welcome submissions whereby novelty lies in furthering our understandings of existing systems, e.g., by uncovering previously unknown, valuable insights or by convincingly refuting prior published results and common wisdom. We value submissions more highly if they are accompanied by clearly defined artifacts not previously available, including traces, original data, source code, or tools developed as part of the submitted work. Alphabetically sorted areas of interest related to practical aspects of computer architecture, programming languages, and operating systems include but are not limited to: Heterogeneous architectures and accelerators Internet services, cloud computing, and datacenters Memory, storage, networking, and I/O Power, energy, and thermal management Profiling, debugging, and testing Security, reliability, and availability Systems for enabling parallelism and computation on big data Virtualization and virtualized systems Experimental methodologies The topics listed above, as applied to existing, emerging, and nontraditional compute platforms at all scales A good submission will typically: motivate a significant problem; propose a practical solution or approach that makes sense; demonstrate not just the pros but also the cons of the proposal using sound experimental methods; explicitly disclose what has and has not been implemented; articulate the new contributions beyond previous work; and refrain from over-claiming, focusing the abstract and introduction sections primarily on the difference between the new proposal and what is already available. The latter statement should be interpreted broadly to also encompass studies that broaden our understanding of existing systems (rather than suggest new ones), which may constitute a significant problem in its own right. Submissions will be judged on relevance, novelty, technical merit, clarity. Submissions are expected to adhere to SIGPLAN’s Empirical Evaluation Guidelines and all the policies specified below.
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Tasa de aceptación

Tasa de aceptación media: 22.3% en 10 años (1987–2004).

AñoEnviadosAceptadosAceptados(%)
20041692414.2%
20021302418.5%
20001142421.1%
19981232822.8%
19961092522.9%
19941462919.9%
19921502416%
1991922830.4%
19891142723.7%
1987652233.8%

Los Mejores Artículos

AñoLos Mejores Artículos
2026vCXLGen: Automated Synthesis and Verification of CXL Bridges for Heterogeneous Architectures
2026PF-LLM: Large Language Model Hinted Hardware Prefetching
2026Lifetime-Aware Design of Item-Level Intelligence
2026Finding Reusable Instructions via E-Graph Anti-Unification
2026CounterPoint: Using Hardware Event Counters to Refute and Refine Microarchitectural Assumptions
2025CXLfork: Fast Remote Fork over CXL Fabrics
2025Extended User Interrupts (xUI): Fast and Flexible Notification without Polling
2025H-Houdini: Scalable Invariant Learning
2025MetaSapiens: Real-Time Neural Rendering with Efficiency-Aware Pruning and Accelerated Foveated Rendering
2025SmoothE: Differentiable E-Graph Extraction
2025Orion: A Fully Homomorphic Encryption Framework for Deep Learning
2024GIANTSAN: Efficient Memory Sanitization with Segment Folding
2024PDIP: Priority Directed Instruction Prefetching
2023Mosaic Pages: Big TLB Reach with Small Pages
2023Going beyond the Limits of SFI: Flexible and Secure Hardware-Assisted In-Process Isolation with HFI
2023RepCut: Superlinear Parallel RTL Simulation with Replication-Aided Partitioning
2023eHDL: Turning eBPF/XDP Programs into Hardware Designs for the NIC
2023A Generic Service to Provide In-Network Aggregation for Key-Value Streams
2023Hacky Racers: Exploiting Instruction-Level Parallelism to Generate Stealthy Fine-Grained Timers
2023Propeller: A Profile Guided, Relinking Optimizer for Warehouse-Scale Applications
2023Lucid: A Non-intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs
2023Junkyard Computing: Repurposing Discarded Smartphones to Minimize Carbon
2023MC Mutants: Evaluating and Improving Testing for Memory Consistency Specifications
2023Pond: CXL-Based Memory Pooling Systems for Cloud Platforms
2022Understanding and exploiting optimal function inlining
2022JSONSki: Streaming Semi-Structured Data with Bit-Parallel Fast-Forwarding
2022TMO: Transparent Memory Offloading in Datacenters
2022A Tree Clock Data Structure for Causal Orderings in Concurrent Executions
2021Who's debugging the debuggers? exposing debug information bugs in optimized binaries
2021Fast, flexible, and comprehensive bug detection for persistent memory programs
2021Benchmarking, analysis, and optimization of serverless function snapshots
2021Compiler-driven FPGA virtualization with SYNERGY
2021Neural architecture search as program transformation exploration
2021VSync: push-button verification and optimization for synchronization primitives on weak memory models
2021Autonomous NIC offloads
2021Computing with time: microarchitectural weird machines
2020Challenging Sequential Bitstream Processing via Principled Bitwise Speculation
2020Orbital Edge Computing: Nanosatellite Constellations as a New Class of Computer System
2020Elastic Cuckoo Page Tables: Rethinking Virtual Memory Translation for Parallelism
2019A Case for Lease-Based, Utilitarian Resource Management on Mobile Devices
2019Boosted Race Trees for Low Energy Classification
2019CheriABI: Enforcing Valid Pointer Provenance and Minimizing Pointer Privilege in the POSIX C Run-time Environment
2019Wasabi: A Framework for Dynamically Analyzing WebAssembly
2017Black-box Concurrent Data Structures for NUMA Architectures
2017Determining Application-specific Peak Power and Energy Requirements for Ultra-low Power Processors
2016The Computational Sprinting Game
2015GhostRider: A Hardware-Software System for Memory Trace Oblivious Computation
2000System Architecture Directions for Networked Sensors

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