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Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
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Heterogeneous cluster for acceleration of linear algebra computations
This project deals with a new concept of the heterogeneous grid for acceleration of the numerical linear algebra computing. We design this grid with respect to maximal ratio between cost and computational power. It allows a parallelization of scientific codes with minimal programming effort. We also optimize grid concept to be less sensitive to network parameters.
Console based notepad number cruncher makes calculations fast and simple, yet with ample features under the hood. With log turned on, you can record your session on-the-fly from any open instance of the program.