LCTES: Languages, Compilers, and Tools for Embedded Systems



Past:   Proceedings on DBLP

Future:  Post a CFP for 2017 or later   |   Invite the Organizers Email


All CFPs on WikiCFP

Event When Where Deadline
LCTES 2016 ACM SIGPLAN/SIGBED Conference on Languages, Compilers, Tools and Theory for Embedded Systems
Jun 13, 2016 - Jun 14, 2016 Santa Barbara, California, USA Feb 8, 2016
LCTES 2015 ACM SIGPLAN/SIGBED Conference on Languages, Compilers, Tools and Theory for Embedded Systems
Jun 18, 2015 - Jun 19, 2015 Portland, Oregon, USA Feb 15, 2015
LCTES 2014 ACM SIGPLAN conference on languages, compilers, and tools for embedded systems
Jun 12, 2014 - Jun 13, 2014 Edinburgh Jan 31, 2014
LCTES 2013 Languages, Compilers and Tools for Embedded Systems
Jun 16, 2013 - Jun 23, 2013 Seattle, WA Feb 8, 2013
LCTES 2012 SIGPLAN/SIGBED Conference on Languages, Compilers and Tools for Embedded Systems 2012
Jun 12, 2012 - Jun 13, 2012 Beijing, China Feb 10, 2012
LCTES 2011 ACM SIGPLAN/SIGBED Conference on Languages, Compilers, Tools and Theory for Embedded Systems
Apr 12, 2011 - Apr 14, 2011 Chicago, Illinois Oct 8, 2010
LCTES 2010 Conference on Languages, Compilers and Tools for Embedded Systems
Apr 12, 2010 - Apr 16, 2010 Stockholm, Sweden Oct 10, 2009 (Oct 3, 2009)
LCTES 2009 ACM SIGPLAN/SIGBED 2009 Conference on Languages, Compilers, and Tools for Embedded Systems
Jun 19, 2009 - Jun 20, 2009 Dublin, Ireland Feb 9, 2009
LCTES 2008 ACM SIGPLAN/SIGBED 2008 Conference on Languages Compilers, and Tools for Embedded Systems
Jun 12, 2008 - Jun 13, 2008 Tucson, AZ, USA Feb 4, 2008

Present CFP : 2016

Call for Papers

Embedded system design faces many challenges both with respect to functional requirements and nonfunctional requirements, many of which are conflicting. They are found in areas such as design and developer productivity, verification, validation, maintainability, and meeting performance goals and resource constraints. Novel design-time and run-time approaches are needed to meet the demand of emerging applications and to exploit new hardware paradigms, and in particular to scale up to multicores (including GPUs and FPGAs) and distributed systems built from multicores.

LCTES 2016 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 are solicited on, but not limited to, the following topics in embedded systems:

Programming language challenges, including:
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

Compiler challenges, including:
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, 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, including:
Predictability of resource behaviour: 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, including:
Design and implementation of novel architectures
Workload analysis and performance evaluation
Architecture support for new language features, virtualization, compiler techniques, debugging tools
Achitectural features to improve power/energy, code/data size, and predictability

Empirical studies and their reproduction, and confirmation

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