MACHINE LEARNING NETWORK IMPLEMENTED BY STATICALLY SCHEDULED INSTRUCTIONS, WITH MLA CHIP

MACHINE LEARNING NETWORK IMPLEMENTED BY STATICALLY SCHEDULED INSTRUCTIONS, WITH MLA CHIP

A compiler receives a description of a machine learning network and generates a computer program that implements the machine learning network. The computer program includes statically scheduled instructions that are executed by a mesh of processing elements (Tiles). The instructions executed by the...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Attia, Sedny S.J, Chobe, Yogesh Laxmikant, Iskarous, Moenes Zaher, Prasad, Kavitha, Shah, Nishit, Gilliland, Spenser Don, Dhruvanarayan, Srivathsa, Kotler, Reed
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Beschreibung
Zusammenfassung:A compiler receives a description of a machine learning network and generates a computer program that implements the machine learning network. The computer program includes statically scheduled instructions that are executed by a mesh of processing elements (Tiles). The instructions executed by the Tiles are statically scheduled because the compiler can determine which instructions are executed by which Tiles at what times. For example, for the statically scheduled instructions, there are no conditions, branching or data dependencies that can be resolved only at run-time, and which would affect the timing and order of the execution of the instructions.