Top 6 auto-tuning Open-Source Projects
-
neural-compressor
SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
-
awesome-machine-learning-in-compilers
Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Project mention: Ask HN: What apps have you created for your own use? | news.ycombinator.com | 2023-12-12I've created Kernel Tuner (https://github.com/KernelTuner/kernel_tuner) as a small software development tool, because I was writing a lot of CUDA and OpenCL kernels at the time. I didn't want to manually figure out what best thread block dimensions and work division among threads were on every GPU over and over again.
The tool evolved quite a bit since the first versions. I'm also using it for testing GPU code, teaching, and it has become one of the main drivers behind a lot of the research that I do.
auto-tuning related posts
Index
What are some of the best open-source auto-tuning projects? This list will help you:
Project | Stars | |
---|---|---|
1 | neural-compressor | 1,950 |
2 | awesome-machine-learning-in-compilers | 1,327 |
3 | bpftune | 630 |
4 | kernel_tuner | 243 |
5 | kernel-ml | 212 |
6 | phoebe | 85 |
Sponsored