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The combination of low cost clusters and multicore processors lowers the barrier for accessing massive amounts of computing power. As computational sciences advance, the use of in silico simulations to complement in vivo experiments promises parallel progr ...
Implementing correct and deterministic parallel programs is challenging. Even though concurrency constructs exist in popular pro- gramming languages to facilitate the task of deterministic parallel pro- gramming, they are often too low level, or do not com ...
Atomistic simulations of the interactions between dislocations, hydrogen atoms, and vacancies are studied to assess the viability of a recently proposed mechanism for the formation of nanoscale voids in Fe-based steels in the presence of hydrogen. Quantum- ...
Debugging real systems is hard, requires deep knowledge of the target code, and is time-consuming. Bug reports rarely provide sufficient information for debugging, thus forcing developers to turn into detectives searching for an explanation of how the prog ...
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Debugging real systems is hard, requires deep knowledge of the code, and is time-consuming. Bug reports rarely provide sufficient information, thus forcing developers to turn into detectives searching for an explanation of how the program could have arrive ...
We review our work towards achieving competitive performance (classification accuracies) for on chip machine learning (ML) of large scale artificial neural networks (ANN) using Non-Volatile Memory (NVM) based synapses, despite the inherent random and deter ...