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PARSIVAL: Parallel High-Throughput Simulations for Efficient Nanoelectronic Design and Test Validation

Subject Area Computer Architecture, Embedded and Massively Parallel Systems
Term from 2014 to 2018
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 256517186
 
The project PARSIVAL will contribute new solutions to the grand validation challenges of highly scaled semiconductor systems by new models and algorithms designed for massively data-parallel many-core processor architectures like GPUs. The grand validation challenges do not only cover functional properties like the logical correctness but increasingly they also incorporate non-functional properties as temperature, power, vulnerability, robustness or aging. Besides the continuously growing gate count and complexity of semiconductors, the interdependencies and interplay between such functional and non-functional properties are beyond the capabilities of today's models and algorithms for general-purpose compute structures. The problem is aggravated as variability and indeterminism of nanoscaled semiconductors require statistic cross-layer approaches which reflect technology parameters even at highest abstraction levels. PARSIVAL will provide new models and algorithms for design and test validation which support an efficient execution on the most innovative data-parallel compute structures like GPUs. The models will allow detailed considerations at low level and they will elevate them to higher levels in order to provide insight and knowledge about the realistic system behavior. The new evaluation algorithms will exploit massive parallelism to cope with complex systems and the influence of external and internal variations and uncertainties.
DFG Programme Research Grants
 
 

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