The core of big data models lies in the synergy of algorithm innovation, computational power support, and data governance to ...

Abstract: As the scale of both data and models surpasses the capabilities of edge devices, the utilization of parallel and distributed systems has become increasingly crucial. This paper overviews the ...

spark-parallel-distributed-processing/ ├── src/ │ └── main/ │ └── java/ │ └── net/ │ └── oussama/ │ ├── App1.java # Total des ventes par ville │ ├── App2.java # Total des ventes par ville et année │ ...

In this study, we delve into the realm of efficient Big Data Engineering and Extract, Transform, Load (ETL) processes within the healthcare sector, leveraging the robust foundation provided by the ...

ABSTRACT: The development of artificial intelligence (AI), particularly deep learning, has made it possible to accelerate and improve the processing of data collected in different fields (commerce, ...

This study addresses the long-standing question as to how different functional pools of synaptic vesicles are organized in presynaptic terminals to mediate different modes of neurotransmitter release.

This repository features MPI and CUDA parallel computing programs exploring concepts such as matrix multiplication, word counting, synchronous communication, array addition, and CUDA-based algorithms.