CASES is a premier forum where researchers, developers and practitioners exchange information on the latest advances in compilers and architectures for high-performance, low-power embedded systems. The conference has a long tradition of showcasing leading edge research in embedded processor, memory, interconnect, storage architectures and related compiler techniques targeting performance, power, predictability, security, reliability issues for both traditional and emerging application domains. In addition, we invite innovative papers that address design, synthesis, and optimization challenges in heterogeneous and accelerator-rich architectures.
Sponsor Type:1; 1; 9
Program Chairs
Umit Ogras
University of Wisconsin-Madison
Preeti Ranjan Panda
Indian Institute of Technology - Delhi
Compilers for Embedded Systems: Compilation for power and performance; Compiler support for CPU, GPU, reconfigurable computing, heterogeneous and domain-specific multi-core SoC; Compilation for memory, storage, and on-chip communications.
Processor Architectures: Embedded and mobile processor micro-architecture, Multi- and many-core processors, GPU architectures, Reconfigurable computing including FPGAs and CGRAs, Application-Specific processor design, 3D-stacked architectures.
Memory and Storage: Memory system architecture; Non-volatile and other emerging memory technologies; Scratchpad memory, caches and compiler-controlled memories; storage organization including flash storage.
On-chip communication and I/O: Networks-on-chip architectures and design methodologies; on-chip communication synthesis, analysis, and optimization; I/O management in embedded systems.
Accelerators: Synthesis, optimization, and designspace exploration of high-performance, low-power accelerators; Novel design paradigms and compilers for accelerators including approximate computing, machine learning and big-data analytics.
Security, Reliability, and Predictability: Secure architectures, hardware security, and compilation for software security; Architecture and compiler techniques for reliability and aging; Modeling, design, analysis, and optimization for timing and predictability; Validation, verification, testing & debugging of embedded software.
AI Hardware and ML Applications: Architectures, accelerators, and compilers for artificial intelligence hardware; Applications of machine learning algorithm and techniques to embedded systems; Neuromorphic & cognitive computing, data analytics.
Emerging Applications: Biologically inspired computing; Flexible, stretchable, and flexible hybrid electronics (FHE); Augmented and virtual reality; Bioinformatics, and emerging topics on embedded systems.
Oct 10
2021
Oct 15
2021
Draft paper submission deadline
Draft Paper Acceptance Notification
Registration deadline
2017-10-15 South Korea
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International Conference on Compilers, Architecture, and Synthesis for Embedded Systems
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