A Flexible and General-Purpose Platform for Heterogeneous Computing

In the big data era, processing large amounts of data imposes several challenges, mainly in terms of performance. Complex operations in data science, such as deep learning, large-scale simulations, and visualization applications, can consume a significant amount of computing time. Heterogeneous comp...

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Vydané v:	Computation Ročník 11; číslo 5; s. 97
Hlavní autori:	Garcia-Hernandez, Jose Juan, Morales-Sandoval, Miguel, Elizondo-Rodríguez, Erick
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.05.2023
Predmet:	Algorithms automated algorithm deployment Automation Big Data Central processing units Computing time CPUs Custom design Data science Field programmable gate arrays Flexibility Graphics processing units heterogeneous computing High performance computing Linear algebra Machine learning OpenCL Simulation Mexico
ISSN:	2079-3197, 2079-3197
On-line prístup:	Získať plný text
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