LCTES 2019
Date: Jun 22, 2019 7:00 am – Jun 28, 2019 6:00 pm
Location: Phoenix, Arizona, United States
ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems
Embedded system design faces many challenges both with respect to functional requirements and nonfunctional requirements. The challenges are in the design process, developer productivity, verification, validation, maintainability, and meeting performance goals and resource constraints of the embedded system. Novel design-time and run-time approaches are needed to meet the demand of emerging applications and to exploit new hardware paradigms, including scaling up to multicores, in-memory computing, involving accelerators in the computing mix, and even distributed systems built using multi-cores.
Topics of Interest
Original contributions are solicited on the topics of interest including, but not limited to:
Programming languages: Domain-specific languages; Features to exploit multicore, reconfigurable, and other emerging architectures; Features for distributed, adaptive, and real-time control embedded systems; Language 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.
Compilers: 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 and data size, and best-effort and real-time performance; Parameterized and structural compiler design space exploration and auto-tuning.
Tools for analysis, specification, design, and implementation: 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 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.
Industrial case studies: Learnings from the state of the art; Challenges and pitfalls of the state of the art.
Submitted by Anonymous
on
ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems
Embedded system design faces many challenges both with respect to functional requirements and nonfunctional requirements. The challenges are in the design process, developer productivity, verification, validation, maintainability, and meeting performance goals and resource constraints of the embedded system. Novel design-time and run-time approaches are needed to meet the demand of emerging applications and to exploit new hardware paradigms, including scaling up to multicores, in-memory computing, involving accelerators in the computing mix, and even distributed systems built using multi-cores.
Topics of Interest
Original contributions are solicited on the topics of interest including, but not limited to:
Programming languages: Domain-specific languages; Features to exploit multicore, reconfigurable, and other emerging architectures; Features for distributed, adaptive, and real-time control embedded systems; Language 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.
Compilers: 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 and data size, and best-effort and real-time performance; Parameterized and structural compiler design space exploration and auto-tuning.
Tools for analysis, specification, design, and implementation: 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 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.
Industrial case studies: Learnings from the state of the art; Challenges and pitfalls of the state of the art.