Kernel Tuner

Autotune Module for Python "PyAutoTune"

MLOS is a project to enable autotuning for systems.

📝 "End-to-end Deep Learning of Optimization Heuristics" (🥇 PACT'17 Best Paper)

CK automation actions to let users implement portable, customizable and reusable program workflows for reproducible, collaborative and multi-objective benchmarking, optimization and SW/HW co-design:

Kernel Tuning Toolkit

ytopt: machine-learning-based search methods for autotuning

Collection of executable benchmarks

NODAL is an Open Distributed Autotuning Library in Julia

A pattern-based algorithmic autotuner for graph processing on GPUs.

😇 Wholly Adaptive LLVM Optimizer

📝 "Synthesizing Benchmarks for Predictive Modeling" (🥇 CGO'17 Best Paper)

A GPU benchmark suite for autotuners

BOAST aims at providing a framework to metaprogram, benchmark and validate computing kernels

TVM learning and research

Autotuning NVCC Compiler Parameters, published @ CCPE Journal

Pitch Track Hack - Pythonic Implementation of the Pitch track used in autotune patent

Autotuning High-Level Synthesis for FPGAs, published @ ReConFig '17

OptSearch -- a portable tuning framework for HPC

Resources for autotuning CUDA compiler parameters