Data-centric workloads with MPI_Sort

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Distributed computer systems have become a fundamental part of our lives. These systems power so many critical functions of our society that it is hard to imagine the consequences if they were to collapse. However, many of these systems are just a single p ...

High-level synthesis (HLS) helps to develop hard-ware accelerators for field-programmable gate arrays (FPGAs) using C/C++ descriptions. HLS is tailored to exploit instruction-level parallelism and, where available, data-level parallelism in applications. Y ...

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Inferring the source of a diffusion in a large network of agents is a difficult but feasible task, if a few agents act as sensors revealing the time at which they got hit by the diffusion. One of the main limitations of current source identification algori ...

The possibility of using the increasing computing power available in cloud infrastructures requires the development of new approaches for application software development and optimization. Emerging edge computing paradigms offer the possibility of reducing ...

Employing energy harvesting to power the Internet of Things supports their long-term, self-sustainable, and maintenance-free operation. These energy harvesting systems have an energy management subsystem to orchestrate the flow of energy and optimize their ...

Data-centric workloads with MPI_Sort

Chattez avec Graph Search

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