Conference Information

LCTES 2026: ACM SIGPLAN/SIGBED Conference on Languages, Compilers, Tools and Theory for Embedded Systems

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LCTES
Submission Date:
2026-03-13 Extended
Notification Date:
2026-05-01
Conference Date:
2026-06-15
Location:
Boulder, Colorado, USA
Years:
27
CCF: B   ICORE: B   QUALIS: B1   Viewed: 43831   Tracked: 29   Attend: 7

Call For Papers

LCTES 2026 (ACM SIGPLAN/SIGBED Conference on Languages, Compilers, Tools and Theory for Embedded Systems) is a CCF B / ICORE B / QUALIS B1 conference held in Boulder, Colorado, USA on 2026-06-15. The paper submission deadline is 2026-03-13 (extended). Acceptance notifications are sent on 2026-05-01.

Programming languages, compilers, and tools are important interfaces between embedded systems and emerging applications in the real world. Embedded systems are aggressively adapted for deep neural network applications, large language models, autonomous vehicles, robots, healthcare applications, etc. However, these emerging applications impose challenges that conflict with conventional design requirements and increase the complexity of embedded system designs. Furthermore, they exploit new hardware paradigms to scale up multicores (including GPUs and FPGAs) and distributed systems built from many cores. Therefore, programming languages, compilers, and tools are becoming more important to address these issues, such as productivity, validation, verification, maintainability, safety, and reliability for meeting both performance goals and resource constraints. The 27th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, Tools and Theory of Embedded Systems (LCTES 2026) solicits papers presenting original work on programming languages, compilers, tools, theory, and architectures that help in overcoming these challenges. Research papers on innovative techniques are welcome, as well as experience papers on insights obtained by experimenting with real-world systems and applications. Papers can be submitted to https://lctes2026.hotcrp.com/. Topics Original contributions are solicited on the topics of interest including, but not limited to: Programming language challenges Domain-specific languages Features to exploit multicore, reconfigurable, and other emerging architectures Features for distributed, adaptive, and real-time control embedded systems Capabilities for specification, composition, and construction of embedded systems Language features and techniques to enhance reliability, verifiability, and security Virtual machines, concurrency, inter-processor synchronization, and memory management Compiler challenges Interaction between embedded architectures, operating systems, and compilers Interpreters, binary translation, just-in-time compilation, and split compilation Support for enhanced programmer productivity Support for enhanced debugging, profiling, and exception/interrupt handling Optimization for low power/energy, code/data size, and real-time performance Parameterized and structural compiler design space exploration and auto-tuning Tools for analysis, specification, design, and implementation, including: Hardware, system software, application software, and their interfaces Distributed real-time control, media players, and reconfigurable architectures System integration and testing Performance estimation, monitoring, and tuning Run-time system support for embedded systems Design space exploration tools Support for system security and system-level reliability Approaches for cross-layer system optimization Theory and foundations of embedded systems Predictability of resource behavior: energy, space, time Validation and verification, in particular of concurrent and distributed systems Formal foundations of model-based design as the basis for code generation, analysis, and verification Mathematical foundations for embedded systems Models of computations for embedded applications Novel embedded architectures Design and implementation of novel architectures Workload analysis and performance evaluation Architecture support for new language features, virtualization, compiler techniques, debugging tools Architectural features to improve power/energy, code/data size, and predictability Mobile systems and IoT Operating systems for mobile and IoT devices Compiler and software tools for mobile and IoT systems Energy management for mobile and IoT devices Memory and IO techniques for mobile and IoT devices Large language models (LLMs) and programming languages/compilers Impact of LLMs on embedded system design and architectures LLM-based debugging tools for embedded software Adapting LLMs for resource-constraint environment LLM for embedded systems and compilers LLM for program analysis, testing and verification. Program analysis, testing and verification for LLM
Last updated by Dou Sun on

Acceptance Ratio

Average acceptance rate: 26.4% over 8 years (1999–2008).

YearSubmittedAcceptedAccepted(%)
2008681725%
2007762127.6%
2006832125.3%
2005952526.3%
20041202823.3%
20031282922.7%
2002732534.2%
1999451226.7%

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