A Partitioning Programming Environment for a Novel Parallel Architecture
IPPS '96 Proceedings of the 10th International Parallel Processing Symposium
Hardware/Software Co-Design for Data-Driven Xputer-based Accelerators
VLSID '97 Proceedings of the Tenth International Conference on VLSI Design: VLSI in Multimedia Applications
Modeling and optimizing run-time reconfiguration using evolutionary computation
ACM Transactions on Embedded Computing Systems (TECS)
Using Genetic Algorithms for solving partitioning problem in codesign
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
Solving partitioning problem in codesign with ant colonies
IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
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The paper presents a two level hardware/software partitioning strategy of a co-design framework (CoDe-X), using an Xputer as accelerator with reconfigurable datapath. CoDe-X accepts C-programs and carries out both, profiling-driven host/accelerator partitioning and (2nd level) resource-parameter-driven sequential/structural partitioning of the accelerator source code to optimize the utilization of its reconfigurable datapath resources.