DeepTools: Compiler and Execution Runtime Extensions for RaPiD AI Accelerator

The ubiquitous adoption of systems specialized for AI requires bridging two seemingly conflicting challenges—the need to deliver extreme processing efficiencies while employing familiar programming interfaces, making them compelling even for non-expert users. We take a significant first step towards...

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Veröffentlicht in:	IEEE MICRO 2019-09, Vol.39 (5), p.102-111
Hauptverfasser:	Venkataramani, Swagath, Choi, Jungwook, Srinivasan, Vijayalakshmi, Wang, Wei, Zhang, Jintao, Schaal, Marcel, Serrano, Mauricio J., Ishizaki, Kazuaki, Inoue, Hiroshi, Ogawa, Eri, Ohara, Moriyoshi, Chang, Leland, Gopalakrishnan, Kailash
Format:	Artikel
Sprache:	eng
Schlagworte:	Compilers Data transfer (computers) Deep learning Dynamic compilers Machine learning Machine learning accelerators Memory management Optimization Run time (computers) Runtime Software Software stack for AI
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