PARALLEL PROCESSOR OPTIMIZED FOR MACHINE LEARNING

PARALLEL PROCESSOR OPTIMIZED FOR MACHINE LEARNING

A parallel processor system for machine learning includes an arithmetic unit (ALU) array including several ALUs and a controller to provide instructions for the ALUs. The system further includes a direct-access memory (DMA) block containing multiple DMA engines to access an external memory to retrie...

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1. Verfasser: MOMBERS, Friederich Jean-Baptiste
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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creator MOMBERS, Friederich Jean-Baptiste
description A parallel processor system for machine learning includes an arithmetic unit (ALU) array including several ALUs and a controller to provide instructions for the ALUs. The system further includes a direct-access memory (DMA) block containing multiple DMA engines to access an external memory to retrieve data. An input-stream buffer decouples the DMA block from the ALU array and provides aligning and reordering of the retrieved data. The DMA engines operate in parallel and include rasterization logic capable of performing a three-dimensional (3-D) rasterization.
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subjects CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
title PARALLEL PROCESSOR OPTIMIZED FOR MACHINE LEARNING
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