Special Issue on Embedded Multicore Applications and Optimization in Journal of Signal Processing Systems
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Submission Deadline : 2016-11-15
Categories : Networks & Communications , Software Engineering & Security
Special Issue on Embedded Multicore Applications and Optimization in Journal of
Signal Processing Systems(JSPS)
CALL FOR PAPERS:
Embedded systems with multi-core designs are becoming increasingly important for signal processing, machine learning, and multimedia applications in recent years. While embedded multi-core systems will look to play an important role ahead for application designs, many challenging problems remain to be resolved. Applications, programming models, compilers, APIdesigns, architecture designs, and software tools all need to contribute to the advance of embedded multi-core computing for signal processing, pixel processing, machine learning, and multimedia applications.
Topics of interest for submission include, but are not limited to:
- Architectures for embedded multi-core signal processing systems
- Compilers for DSP processors • Embedded GPU processors and designs
- Compilers for heterogeneous embedded multi-core systems
- Programming models for embedded multi-core systems
- Signal processing and machine learning on embedded multi-core systems
- Multimedia signal processing algorithms on embedded multi-core systems
- Multimedia applications on embedded multi-core systems
- OpenCL compilers and applications on multi-core systems
- OpenVX compilers and applications
- Augmented reality applications on multi-core systems
- OpenCL programming models with graph
- OpenCL supports for DSP applications
- Embedded OS designs and performance tuning tools
- Audio signal processing and recognition with multi-core designs
- Numerical libraries and architecture supports for machine learning
Important dates:
| Submission Deadline |
November 15, 2016 |
| Notification of the first-round review: |
January 15, 2017 |
| Camera-ready paper due: |
May 15, 2017 |
User Name : shaun
Posted 05-09-2016 on 08:49:01 AEDT