Enhancing Parallelization with OpenMP through Multi-Modal Transformer Learning

The popularity of multicore processors and the rise of High Performance Computing as a Service (HPCaaS) have made parallel programming essential to fully utilize the performance of multicore systems. OpenMP, a widely adopted shared-memory parallel programming model, is favored for its ease of use. H...

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Vydané v:	Proceedings (International Conference on Computer Engineering and Applications. Online) s. 465 - 469
Hlavní autori:	Chen, Yuehua, Yuan, Huaqiang, Hou, Fengyao, Hu, Peng
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 12.04.2024
Predmet:	Abstract Syntax Trees Accuracy Automation Codes component Deep learning Multicore processing Natural Language Processing OpenMP Parallel programming Parallelization Training
ISSN:	2159-1288
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