Accordo Validation

---
name: accordo-validation
description: Validate GPU kernel correctness by comparing reference and optimized outputs. Use when verifying that an optimized or modified kernel matches a reference implementation.
---

# Accordo: GPU Kernel Validation

Capture and compare kernel outputs from reference and optimized binaries to validate correctness. Uses kernelDB for automatic kernel extraction; supports configurable tolerance and execution-time comparison.

## When to Use

- User has a reference and an optimized (or modified) GPU kernel and wants to check they produce the same results
- Regression testing after kernel or build changes
- Validating multiple optimization variants against one baseline

## Instructions

1. **Require two or more binaries:** one reference (e.g. `./app_ref`) and one or more to validate (e.g. `./app_opt`). All must expose the same kernel by name.
2. **Ensure binaries are built with debug symbols** (`-g`) so kernel arguments can be extracted.
3. **Choose execution path:**
   - If an Accordo MCP server is available, call its `validate_kernel_correctness` tool, which performs capture-and-compare with the same semantics described below.
   - Otherwise use the Python API or the `accordo validate` CLI (`accordo validate --help` for flags: `--kernel-name`, `--ref-binary`, `--opt-binary`, `--tolerance`, `--timeout`, `--working-dir`, `--kernel-args`, `--log-level`).

### Python API