autotuning
There are 2 repositories under autotuning topic.
- kernel_tuner
KernelTuner / kernel_tuner
Kernel Tuner
Language:Python 258 ederwander / PyAutoTune
Autotune Module for Python "PyAutoTune"
Language:C 135- Language:Python 129
ChrisCummins / paper-end2end-dl
📝 "End-to-end Deep Learning of Optimization Heuristics" (🥇 PACT'17 Best Paper)
Language:TeX 72ctuning / ck-autotuning
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:
Language:Python 57- Language:C++ 53
ytopt-team / ytopt
ytopt: machine-learning-based search methods for autotuning
Language:C 42- Language:Julia 35
lac-dcc / jotai-benchmarks
Collection of executable benchmarks
Language:C 32- Language:Cuda 28
- Language:C 26
📝 "Synthesizing Benchmarks for Predictive Modeling" (🥇 CGO'17 Best Paper)
Language:Jupyter Notebook 22NTNU-HPC-Lab / BAT
A GPU benchmark suite for autotuners
Language:Cuda 16- Language:Python 12
Nanosim-LIG / boast
BOAST aims at providing a framework to metaprogram, benchmark and validate computing kernels
Language:Ruby 12phrb / gpu-autotuning
Autotuning NVCC Compiler Parameters, published @ CCPE Journal
Language:C 9Pitch Track Hack - Pythonic Implementation of the Pitch track used in autotune patent
Language:Python 7Autotuning High-Level Synthesis for FPGAs, published @ ReConFig '17
Language:PostScript 7- Language:C 3
mahdifani14 / CHStone-Codes-Annotated-By-Orio
This repository contains CHStone benchmark codes which have been annotated and tuned by Orio tool to test the speed up of execution.
Language:Verilog 3Resources for autotuning CUDA compiler parameters
Language:Julia 3"Autotuning OpenCL Workgroup Size for Stencil Patterns" (ADAPT 2016)
Language:TeX 2Auto-Tuning chain to optimize software execution and compilation time upon heterogeneous systems
specs-feup / LAT-Lara-Autotuning-Tool
:minidisc: C/C++ autotuning tool that follows the concept of ISAT implemented in LARA (AOP + javascript)
bcosenza / patus-aa
Patus-AA is an extension of the Patus compiler, which adds a new auto-tuning framework based on machine learning, and a new backend generating code for ARM processor with NEON support.
Language:Java 1"Towards Collaborative Performance Tuning of Algorithmic Skeletons" (HLPGPU 2016)
Language:TeX 1Autotuning Source Transformation Tools with Design of Experiments, published @ CCGRID'19
Language:TeX 13it-inpaqt / line-classification-slope
Classification task from experimental charge stability diagrams to recognize angles of lines.
Language:Python 0- Language:Python
Autotuning with OpenTuner and Cloud Computing
Language:TeXAutotuning the HPE CACTI memory modelling tool
Language:C++
