Deep Learning Computation with Heterogeneous Accelerators
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United States of America Patent
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Issued Date -
Aug 22, 2024
app pub date -
Jan 17, 2024
filing date -
Feb 16, 2023
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Abstract
An apparatus having a plurality of accelerators of different types for operations of multiplication and accumulation. In response to a request to perform a task of multiplication and accumulation on input data, the apparatus can analyze the input data to determine characteristics of the input data. The characteristics are indicative of energy efficiency levels of the accelerators in performing the task. The apparatus can assign the task to one of the accelerators based on the characteristics for improved energy efficiency, in addition to balancing workloads for the accelerators. For example, the different types of accelerators can include accelerators configured to perform multiplication and accumulation using microring resonators, synapse memory cells, logical multiply-accumulate units, memristors, etc.
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