CCF: b CORE: a QUALIS: b1 Viewed: 42547 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 / CORE A / 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
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