What if the way you code could change the planet?
summary
Code-level choices matter: an open-source Rust toolkit microBioRust exists for microbial genomics and it's built, benchmarked and used; a Python port runs about half the time compared to biopython and a PIO3-based path proves roughly 7x faster for bulk small-file workloads. Rust and C measure substantially lower power use (transcript cites up to 70% less energy), real pipelines scale from hundreds to tens of thousands of genomes and the toolkit demonstrably reduces runtime and cloud cost.
AI-written summary · about
chapters (8)
- 0:00Green coding and Rust
- 4:41Carbon cost of computing
- 8:13Rust vs Python energy
- 13:30Microbior Rust genomics
- 17:28Convincing scientists to Rust
- 19:18Measuring code sustainability
- 21:04Rust for sustainable AI
- 22:28Join and thank yous
related talks
30mUnder a Microscope: Exploring Fast and Safe Rust for Biology
45mSustainability with Rust
01h 00mRust for good: systems programming in Science and Public Health
56mWhen to Choose Rust
36mPumping up Python modules using Rust
50mRust and sustainable IT
34mGood or Bad Vibes? Coding with AI in Rust
40mNine Rules for Writing Python Extensions in Rust
