tilegym-improve-cutile-kernel-perf

Iterative cuTile Kernel Performance Optimization Systematically profile, diagnose bottlenecks, and iteratively tune a cuTile kernel's performance in the TileGym repository. Instructions Follow the three phases in order: Setup the environment and baseline, run the Experimentation loop with a tracked log, then iterate The experiment loop until perf goals are met or further gains plateau. Setup Work with user to prepare optimization environment: Create a fresh git branch: Propose a branch name, e.g., cutile-perf-- from current branch. Checkout git checkout -b Locate the target kernel: cuTile kernels live under src/tilegym/suites//cutile/ or src/tilegym/ops/cutile/ Read the kernel file and identify: the @ct.kernel decorated function(s), the launch wrapper ( ct.launch() or ct_experimental.autotune_launch() ), the @register_impl registration, and current autotune configs (if any) Classify the kernel: Arithmetic Intensity < 10 -> Memory-bound Arithmetic Intensity 10-50 -> Balanced Arithmetic Intensity > 50 -> Compute-bound Show more Installs 613 Repository nvidia/skills GitHub Stars 2.1K First Seen Jun 11, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass