Autotuning with OpenTuner and Cloud Computing
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Updated
Feb 2, 2016 - TeX
Autotuning with OpenTuner and Cloud Computing
Auto-Tuning chain to optimize software execution and compilation time upon heterogeneous systems
This repository contains CHStone benchmark codes which have been annotated and tuned by Orio tool to test the speed up of execution.
Towards a new generation of adaptive run-time and heuristic selection framework
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.
NODAL is an Open Distributed Autotuning Library in Julia
"Towards Collaborative Performance Tuning of Algorithmic Skeletons" (HLPGPU 2016)
"Autotuning OpenCL Workgroup Size for Stencil Patterns" (ADAPT 2016)
💽 C/C++ autotuning tool that follows the concept of ISAT implemented in LARA (AOP + javascript)
Autotuning High-Level Synthesis for FPGAs, published @ ReConFig '17
Autotuning Source Transformation Tools with Design of Experiments, published @ CCGRID'19
Autotuning NVCC Compiler Parameters, published @ CCPE Journal
Automatic tuning of multigrid parameters using black box optimization
BOAST aims at providing a framework to metaprogram, benchmark and validate computing kernels
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:
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