SongC: A Compiler for Hybrid Near-Memory and In-Memory Many-Core Architecture

Building hybrid systems that incorporate various processing-in-memory (PIM) devices and processing-near-memory (PNM) technologies can offer complementary advantages in both efficiency and flexibility, while many-core architectures show great potential in deploying data-centric parallel applications...

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Veröffentlicht in:	IEEE transactions on computers 2024-10, Vol.73 (10), p.2420-2433
Hauptverfasser:	Lin, Junfeng, Qu, Huanyu, Ma, Songchen, Ji, Xinglong, Li, Hongyi, Li, Xiaochuan, Song, Chenhang, Zhang, Weihao
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computational modeling Computer architecture Hardware in-memory processing many-core architecture Near-memory processing neural network compiler Optimization Random access memory Task analysis
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