There are 2 repositories under autotuning topic.
Kernel Tuner
Autotune Module for Python "PyAutoTune"
📝 "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:
ytopt: machine-learning-based search methods for autotuning
Collection of executable benchmarks
📝 "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
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
This repository contains CHStone benchmark codes which have been annotated and tuned by Orio tool to test the speed up of execution.
Resources for autotuning CUDA compiler parameters
"Autotuning OpenCL Workgroup Size for Stencil Patterns" (ADAPT 2016)
Auto-Tuning chain to optimize software execution and compilation time upon heterogeneous systems
:minidisc: C/C++ autotuning tool that follows the concept of ISAT implemented in LARA (AOP + javascript)
"Towards Collaborative Performance Tuning of Algorithmic Skeletons" (HLPGPU 2016)
Autotuning with OpenTuner and Cloud Computing
Classification task from experimental charge stability diagrams to recognize angles of lines.
Autotuning the HPE CACTI memory modelling tool