12 research outputs found

    Generalized Barotropic Models for Studying the Low -Frequency Variability of the Extratropical Atmosphere

    No full text
    119 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2003.Finally, the generalized model is scrutinized in terms of its normal, adjoint, optimal and singular modes. It is found that the modes of the empirically modified model are more stable than the ones of the barotropic model. Also the modified barotropic optimal modes are more difficult to excite than their barotropic counterparts. These results are in accordance with previous studies that found that barotropic dynamics may not quantitatively describe LFV. The singular modes of the modified operator have very similar patterns but explain less variance than the barotropic ones. This is consistent with the difficulty in detecting optimal patterns in observations. Finally, we find that the modified barotropic operator is more normal than the classic barotropic one, and thus less variable.U of I OnlyRestricted to the U of I community idenfinitely during batch ingest of legacy ETD

    Mapping embedded applications on MPSoCs: The MNEMEE approach

    No full text
    As embedded systems are becoming the center of our digital life, system design becomes progressively harder. The integration of multiple features on devices with limited resources requires careful and exhaustive exploration of the design search space in order to efficiently map modern applications to an embedded multi-processor platform. The MNEMEE project addresses this challenge by offering a unique integrated tool flow that performs source-to-source transformations to automatically optimize the original source code and map it on the target platform. The optimizations aim at reducing the number of memory accesses and the required memory storage of both dynamically and statically allocated data. Furthermore, the MNEMEE tool flow parallelizes the application's source code and performs optimal assignment of all data on the memory hierarchy of the target platform. Designers can use the whole flow or a part of it and integrate it into their own design flow. This work gives an overview of the MNEMEE tool flow. It also presents two industrial case studies that demonstrate how the techniques and tools developed in the MNEMEE project can be integrated into industrial design flows

    Mapping embedded applications on MPSoCs:The MNEMEE approach

    No full text
    \u3cp\u3eAs embedded systems are becoming the center of our digital life, system design becomes progressively harder. The integration of multiple features on devices with limited resources requires careful and exhaustive exploration of the design search space in order to efficiently map modern applications to an embedded multi-processor platform. The MNEMEE project addresses this challenge by offering a unique integrated tool flow that performs source-to-source transformations to automatically optimize the original source code and map it on the target platform. The optimizations aim at reducing the number of memory accesses and the required memory storage of both dynamically and statically allocated data. Furthermore, the MNEMEE tool flow parallelizes the application's source code and performs optimal assignment of all data on the memory hierarchy of the target platform. Designers can use the whole flow or a part of it and integrate it into their own design flow. This work gives an overview of the MNEMEE tool flow. It also presents two industrial case studies that demonstrate how the techniques and tools developed in the MNEMEE project can be integrated into industrial design flows.\u3c/p\u3
    corecore