HARDWARE ARCHITECTURE TO ACCELERATE GENERATIVE ADVERSARIAL NETWORKS WITH OPTIMIZED SIMD-MIMD PROCESSING ELEMENTS

Systems, apparatuses and methods may provide for technology that includes transformation hardware to convert input data from a time domain into a frequency domain, a generative model, and a discriminative model coupled to the transformation hardware and the generative model, wherein the generative m...

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Main Author Pillai, Kamlesh
Format Patent
LanguageEnglish
Published 16.03.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Abstract Systems, apparatuses and methods may provide for technology that includes transformation hardware to convert input data from a time domain into a frequency domain, a generative model, and a discriminative model coupled to the transformation hardware and the generative model, wherein the generative model and the discriminative model are to operate in the frequency domain.
AbstractList Systems, apparatuses and methods may provide for technology that includes transformation hardware to convert input data from a time domain into a frequency domain, a generative model, and a discriminative model coupled to the transformation hardware and the generative model, wherein the generative model and the discriminative model are to operate in the frequency domain.
Author Pillai, Kamlesh
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SubjectTerms CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
Title HARDWARE ARCHITECTURE TO ACCELERATE GENERATIVE ADVERSARIAL NETWORKS WITH OPTIMIZED SIMD-MIMD PROCESSING ELEMENTS
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