Benchmarking Parallel Programming Models for High-Throughput Security Telemetry Analytics: OpenMP, MPI, and CUDA

This paper compares three parallel programming paradigms—shared memory (OpenMP), distributed memory (MPI), and heterogeneous GPU computing (CUDA)—for a telemetry-inspired Map-Filter-Reduce-Sort analytics pipeline. The study evaluates datasets ranging from 100 million to 1 billion eleme...

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Auteurs principaux:	Krystian Ochmanski, Filip Kruzel, Mateusz Nytko
Format:	Artigo
Langue:	Inglês
Publié:	IEEE 2026-01-01
Collection:	IEEE Access
Sujets:	High-performance computing parallel sorting CUDA MPI OpenMP big data analytics
Accès en ligne:	https://ieeexplore.ieee.org/document/11647017/
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