neuron-nki-profile-querying

What problem does it solve?

This Skill enables users to query and analyze detailed kernel execution profiles on AWS Neuron hardware, facilitating performance diagnostics and optimization.

Core Features & Use Cases

• Profile Data Querying: Run SQL or Python scripts to extract insights from profile tables such as instruction timing, engine utilization, and memory transfers.
• Performance Bounds Calculation: Compute theoretical memory and compute bounds to identify bottlenecks.
• Investigation of Inefficiencies: Trace and localize runtime inefficiencies like redundant data transfers, idle engine time, or transposes for targeted improvements.
• Use Case: A researcher wants to analyze how a neural network kernel utilizes the Tensor Engine and identify if data movement is limiting performance before re-implementing the kernel.

Quick Start

Run the neuron-explorer view command to ingest an existing profile, then use curl requests to retrieve summary, instruction structure, and schema information, all in a straightforward pipeline for performance analysis.