Schnelle und Genaue Verarbeitungsarchitekturleistungsmodellierung unter Verwendung einer Fusion von Analytischen und Maschinenlernmodellen

Details

Veröffentlichungs-Nr.

EP4749465

Anmeldetag

13. November 2025

Veröffentlichung

27. Mai 2026

Rechtsraum

EP

IPC

G06F11/34

Abstract

Estimating throughput for an input program executing on a processing architecture by calculating a plurality of cumulative distribution functions (CDFs) for each parameter of a plurality of parameters for describing processing architectures, the CDFs of the plurality of CDFs corresponding to respective ones of values for the parameter, and each CDF of the plurality of CDFs specifying a cumulative distribution of throughput calculations associated with the corresponding value and the input program, and the pluralities of CDFs generated for the parameters making up a set of pluralities of CDFs; and using the set of pluralities of CDFs and a machine learning model to estimate the throughput for the input program executing on the processing architecture based on a set of parameter values specifying the processing architecture.

Anmelder

Firma

Google LLC

Land

🇺🇸 USA