Voltage scaling stalled and frequency scaling hit thermal limits. Simply adding cores no longer restored historical performance curves. Meanwhile, last-level caches and register files grew so large that they began consuming energy comparable to—and often exceeding—the cores they served. Modern memory hierarchies evolved not independently, but in symbiosis with speculative execution. They became the scaffolding required to sustain large volumes of in-flight, uncertain work. Speculation optimizes for the appearance of forward progress. The memory system exists to sustain that appearance—and to clean up when predictions fail.
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A good way to get familiar with Rails is to follow the tutorial, but here’s a quick walkthrough of the dev process I’ve used since the early days which highlights how easy it is to get going. So, using the “tags” system (that bands can attach to songs, setlists etc.) as an example: I first planned out the model, what is a tag, what attributes should it have (a text description, a hex colour) and so on. Then I used a Rails generator to create the scaffolding and migrations:
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