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ICPP-EMS 2023 : The 2023 International Workshop on Embedded Multicore Systems

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Link: https://sites.google.com/view/icpp-ems-2023
 
When Aug 7, 2023 - Aug 10, 2023
Where Salt Lake City, Utah
Submission Deadline May 28, 2023
Notification Due Jun 18, 2023
Final Version Due Jun 26, 2023
Categories    computer science   parellel processing   embedded systems   compilers
 

Call For Papers

Embedded systems with multicore designs are of major focuses from both industry and academia. While embedded multicore systems will look to play an important role ahead for system designs, many challenging issues remain. Applications, programming models, architecture designs, emerging memory architectures, and software tools all need to help for the advance of embedded multicore computing ahead.

The 2023 International Workshop on Embedded Multicore Systems (ICPP-EMS 2023) will bring researchers and experts together to present and discuss the latest developments and technical solutions concerning various aspects of embedded multicore computing.

ICPP-EMS 2023 seeks original unpublished papers focusing on emerging applications, embedded compilers, embedded memory and architecture design, DSP/GPU systems, ESLs, embedded multicore programming models, and WCET analysis. Moreover, ICPP-EMS 2023 also welcomes work-in-progress, case studies, visionary idea, new application challenges, and industrial practice studies.

Topics of interest are in all areas of (or related to) embedded multicore systems, including, but not limited to
- Architectures for embedded multicore systems
- Design for emerging embedded memory systems
- Compilers for DSP processors
- Embedded multicore processors
- Special instructions for architectures to support post processing and pre-processing models
- Compilers for heterogeneous embedded multicore systems.
- AI compilers for DSP architectures
- Compiler Optimizations with SPIR-V
- TVM and MLIR Optimizations
- OpenVX Optimizations
- Low-power numeric supports with DSP systems for AI applications
- Partitioning and scheduling with AI compilers for AI models
- Auto-Tuning for AI compiler Optimizations
- Programming models for embedded multicore systems
- Signal processing on embedded multicore systems
- Multimedia signal processing algorithms on embedded multicore systems
- Multimedia applications on embedded multicore systems
- Machine learning on embedded multicore systems
- Human-computer interaction on multicore systems
- Augmented reality applications on multicore systems
- Software for multicore, GPU, and embedded architectures
- VM for embedded systems
- 3D IC and multicore architectures
- Real-time system designs for embedded multicore environments
- Compiler for low-power
- ESL designs for embedded multicore systems
- Applications for Automobile electronics of multicore designs
- Embedded OS designs and performance tuning tools
- Hardware/software co-design framework
- Embedded devices + cloud computing framework
- Compiler for worst-case execution time analysis
- Formal method for embedded systems
- Numerical libraries and architecture supports for machine learning
- Processing in memory / computing-in-memory architecture designs for AI models
- Architecture-aware software designs for AI models
- Embedded memory management for AI models

ICPP-EMS 2023 is organized in conjunction with the 52th International Conference on Parallel Processing (ICPP 2023), Utah, USA, from August 7th to 10th 2023.

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