stable diffusion

Matt Kulukundis explains how Google designed SwissTable, a fast, cache-friendly hash table, step by step from std::unordered_map. The talk covers open addressing, SIMD probing and the tradeoffs of changing a fundamental data structure.

Casey Muratori's long talk arguing that modern software has ballooned to tens of millions of lines because of hardware and OS diversity. He proposes a stable ISA for entire system-on-a-chip packages and recalls when games shipped with their own boot disk.

Robert C. Martin's Ruby Midwest 2011 keynote argues that software architecture should express the application's intent rather than its framework. He covers separating entities, interactors and boundaries so the web, database and framework are details.

Joel Grus's JupyterCon talk explaining why he dislikes Jupyter notebooks. He covers hidden state, trouble with reproducibility and testing, and how notebooks frustrate teaching. He shows his preferred workflow and what Jupyter could change.

Sandi Metz's RailsConf 2013 talk offers practical guidelines for deciding what to test and how, so tests stay cheap and stable. She argues for testing the public interface rather than implementation and using mocks appropriately.

Greg Kroah-Hartman's Git Merge 2016 talk on how the Linux kernel is developed, how fast it moves, and how git and email workflows keep it manageable. He is the stable kernel maintainer.

Nada Amin's Strange Loop talk on programming languages that build on themselves, centered on towers of interpreters and nestable interpretation in Scheme. She shows how interpreters can be stacked and collapsed.

A Graphics Programming Conference talk on how the game Tiny Glade renders meadows, trees and player-built castles. It covers real-time global illumination, tilt-shift depth of field, stable shadows with continuous time of day, ray marching and GPU-driven rendering on old hardware.