gpu-kernels

What problem does it solve?

This Skill evaluates the performance of GPU-based operations against CPU-based operations for sparq's hot-path operations, helping to determine whether GPU acceleration is beneficial.

Core Features & Use Cases

• Performance Measurement: Compare the performance of GPU and CPU for various operations like FILTER + count, hash-join probe, and GROUP BY COUNT+SUM.
• Opt-in Measurement Prototype: An opt-in prototype for evaluating GPU performance.
• Use Case: Use this Skill to measure whether a GPU outperforms a CPU for sparq's columnar primitives, considering the cost of data transfer between host and device.

Quick Start

To get started with the gpu-kernels skill, execute the following command: cargo run --release -p sparq-gpu -- query data.ttl turtle 'SELECT ?s ?o WHERE { ?s http://schema.org/name ?o } LIMIT 10'