Kernel Tuner
Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple agent/workflow framework
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:
ytopt: machine-learning-based autotuning and hyperparameter optimization framework using Bayesian Optimization
Collection of executable benchmarks
NODAL is an Open Distributed Autotuning Library in Julia
A pattern-based algorithmic autotuner for graph processing on GPUs.
📝 "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
Open-source Bitcoin mining firmware: Rust, per-chip autotuning, Stratum V1/V2, local web UI, AI/MCP control, and no mandatory dev fee.
Autotuning NVCC Compiler Parameters, published @ CCPE Journal
Pitch Track Hack - Pythonic Implementation of the Pitch track used in autotune patent
KernelTuner.jl, a full-fledged auto-tuning framework for Julia.
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