Yesterday, your code was fast.
Today, it is slow. Why?

Continuous Benchmarking

Continuous Tuning

Daisytuner adds performance analysis to your CI pipelines. By combining profiling data with performance models, our platform tells you where you spend your time and how close you are to peak performance.

Github

Runtime Tracking

Performance Reports on Every Commit.

Add your benchmarking codes to our workflows and catch performance regressions effortlessly with every commit. Catch performance bugs before they catch you.

Github App: 1-Click integration into your Github.
Continuous Benchmarking: Benchmarking workflows and runtime regression tracking.

Flame Graphs

Peak Performance Modeling

Understand the Bottlenecks.

Use your favourite profilers and performance models to detect the bottlenecks of your code. Daisytuner lets you easily understand the hardware utilization on different processors.

Profiling: Supports perf, py-spy, nsys, and other popular profiling tools.
Hardware Utilization: Model peak performance and visualize how your code benchmarks.

learn more about performance models

Ditch the ‘Fast-on-My-Machine’ Gamble.

Whether you’re shipping software to customer devices or rolling it out across multiple product lines, it must run fast on many processors. Our super-heterogenous cluster lets you benchmark on ARM, x86, GPUs, TPUs and other accelerators—or you can simply plug in your own runners.

learn more about the daisyfield