PATENT

Patent Abstract

Systems and Methods for Noise-Aware Benchmarking and Optimization of AI-Generated Compute Kernels

Patent application 202641029764 in the Manish KL patent portfolio, covering kernel autotuning and related technical systems.

202641029764 2026-03-12 Kernel Autotuning

Summary

Overview

This filing defines a reliability-gated benchmarking loop for generated accelerator kernels so noisy measurements do not drive bad kernel-selection decisions.

Abstract

Technical Abstract

Benchmark trials are classified by telemetry-derived contamination state, unresolved finalists receive additional benchmark budget, and a kernel is promoted only if it remains superior under acceptable measurement conditions. The inventive chain is contamination classification, targeted reruns, and gated promotion.

Search Context

SEO Keywords

kernel benchmarking patent, AI generated kernel patent, accelerator autotuning patent, telemetry contamination patent, performance reliability patent

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