Using performance modeling for brain tissue simulations

Scientists at the EPFL Blue Brain Project have extended performance modeling techniques to the field of computational brain science. In a paper published in Neuroinformatics, they provide a quantitative appraisal of the performance landscape of brain tissue simulations, and analyze in detail the relationship between an in silico experiment, the underlying neuron and connectivity model, the simulation algorithm and the hardware platform being used. Thereby deriving the first analytical performance models of detailed brain tissue simulations, which is a concrete step to enable the next generation of brain tissue simulations.
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Sophisticated genetic tests are not notably better than traditional risk factors at predicting heart disease

Traditional cardiovascular risk factors often assessed in an annual physical, such as blood pressure, cholesterol levels, diabetes, and smoking status, are at least as valuable in predicting who will develop coronary heart disease as a sophisticated genetic test that surveys millions of different points in DNA, a study led by a UT Southwestern Medical Center researcher suggests.
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