Specification and design of embedded systems
Specification and design of embedded systems
The Chinook hardware/software co-synthesis system
ISSS '95 Proceedings of the 8th international symposium on System synthesis
A Hardware-Software Codesign Methodology for DSP Applications
IEEE Design & Test
Hardware-Software Cosynthesis for Digital Systems
IEEE Design & Test
Hardware-Software Cosynthesis for Microcontrollers
IEEE Design & Test
System-Level Memory Management for Weakly Parallel Image Processing
Euro-Par '96 Proceedings of the Second International Euro-Par Conference on Parallel Processing-Volume II
HW/SW Co-Design with PRAMs Using CoDES
CHDL '93 Proceedings of the 11th IFIP WG10.2 International Conference sponsored by IFIP WG10.2 and in cooperation with IEEE COMPSOC on Computer Hardware Description Languages and their Applications
MTDT '95 Proceedings of the 1995 IEEE International Workshop on Memory Technology, Design and Testing
Code placement in hardware/software co-synthesis to improve performance and reduce cost
Proceedings of the conference on Design, automation and test in Europe
An optimal memory allocation for application-specific multiprocessor system-on-chip
Proceedings of the 14th international symposium on Systems synthesis
Hardware/software co-synthesis with memory hierarchies
Readings in hardware/software co-design
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Application studies in the areas of image and video processing systems indicate that between 50 and 80% of the area cost in (application-specific) architectures for real-time multi-dimensional signal processing (RMSP) is due to data storage and transfer of array signals. This is true for both single- and multi-processor realizations, both customized and (embedded) programmable targets. This paper has two main contributions. First, to reduce this dominant cost, we propose to address the system-level storage organization for the multi-dimensional (M-D) signals as a first step in the overall methodology to map these applications, before the HW/SW-partitioning decision. Secondly, we will demonstrate the usefulness of this novel approach based on a realistic test-vehicle, namely a quad-tree based image coding application.