New preprint on benchmarking ultra-low power neural accelerators
Year: 2025
Type: other
Abstract: Josh Millar just released our latest preprint on how to make sense of the growing number of dedicated, ultra-low-power 'neural network accelerators' that are found in many modern embedded chipsets. My interest in this derives from wanting to decouple from the cloud when it comes to low-latency local environments, and this needs fast tensor operations in hardware.
DOI: 10.59350/m0str-5ek10
Author: Anil Madhavapeddy
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4415118203
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