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Storyboard template — copy per module

Copy this file into content/<module-id>-<slug>/long-form.md and shorts.md, then fill it in. Keep it editable: this file is the deliverable, not a rendered video.

Delete the guidance in italics as you write. If a row has no real content, cut the row — an empty beat on screen reads as padding.


Pre-flight (fill before scripting)

Field Value
Module e.g. A04 Parallel reduction
The ONE idea one sentence a viewer repeats afterwards
The measured number e.g. "stage 7 is 12× stage 1" — from an actual run, name the GPU
GPU used e.g. MI300X (gfx942), ROCm 6.x
Prerequisite the viewer needs e.g. knows what a block is
What I will NOT cover scope guard, prevents rambling

If you cannot fill "the measured number" from a run you did, stop and run the lab first.


Long-form script (16:9, 8–12 min)

Write in shot rows. VISUAL is what is on screen; SAY is spoken, conversational, contraction-friendly. Aim for ~140 words per minute — 12 minutes is roughly 1,600 words.

Naming a visual. Where a shot uses one of the infographics, name the asset id rather than describing it — asset: coalescing — so the shot list and the file stay tied together. Capture it by opening the SVG in a browser tab, which is enough for most shots. If an editor needs a file, derive one with bash scripts/export_visual.sh <asset> gif 9x16 and point at exports/; that render is gitignored on purpose, so re-derive it rather than checking it in. Where a shot is better served by a control than by a fixed drawing, use the concept players instead: the stride dial in live/concepts/coalescing.html reads well on camera.

# Time VISUAL SAY
1 0:00 Terminal, final result already printed Cold-open: state the payoff number out loud.
2 0:30 Analogy illustration or whiteboard The layman analogy. Then: "here's where that analogy breaks."
3 1:30 Diagram of the naive approach Derive why the obvious way is slow, from first principles.
4 3:30 Editor, typing the fix Live-code the real version. Say what each decision buys.
5 6:30 Terminal, running it Run. Read the number. Compare to peak / roofline.
6 8:30 Slide: tradeoffs When this is the wrong tool. What it costs.
7 10:00 Slide: real systems Where this exact idea appears in PyTorch / vLLM / training.
8 11:00 Repo on screen The drill for the viewer. Next module teaser.

Chapters (paste into the YouTube description)

0:00 The result first
0:30 The intuition
1:30 Why the naive version is slow
3:30 Writing the fast version
6:30 Measuring it
8:30 The tradeoffs nobody mentions
10:00 Where this shows up in real ML
11:00 Your turn

Shorts / Reels (9:16, 30–60 s each)

Three Shorts per module. Each stands alone — assume zero context and no prior video.

Short 1 — the counterintuitive number

Lead with the result that sounds impossible.

Beat Time VISUAL SAY / ON-SCREEN TEXT
Hook 0–3 s Big number, brand cyan on slate "X made this Y times faster."
Stakes 3–8 s The two code versions side by side "Same math. One difference."
Reveal 8–35 s Zoom the diff / diagram The idea, in one breath.
Proof 35–50 s Terminal output "Here it is on a real \<GPU>."
CTA 50–60 s Repo URL "Runnable code in the description."

Short 2 — the bug/gotcha

Show a failure, then the fix. Failures out-perform explanations.

Beat Time VISUAL SAY / ON-SCREEN TEXT
Hook 0–3 s Wrong output / NaN / garbage "This kernel looks right. It isn't."
Stakes 3–8 s Highlight the innocent-looking line "This line corrupts memory silently."
Reveal 8–35 s The fix typed in Why it breaks, in plain words.
Proof 35–50 s PASSED output "Now it's correct."
CTA 50–60 s Repo URL "There's a drill for this."

Short 3 — the mental model

Pure intuition, no code. This is the one that gets shared.

Beat Time VISUAL SAY / ON-SCREEN TEXT
Hook 0–3 s Analogy visual "Here's how a GPU actually thinks."
Reveal 3–40 s Animated diagram The analogy, then where it breaks.
Payoff 40–55 s Map analogy onto real terms "That's a wavefront. 64 lanes on AMD, 32 on NVIDIA."
CTA 55–60 s Repo URL "Full module linked below."

Live-coding run sheet (optional, 45–90 min)

Segment Minutes What happens
Setup + hardware check 5 rocm-smi / nvidia-smi, show the toolchain, state the goal
Build the naive version 15 Type it live, including the mistakes — do not hide them
Break it deliberately 10 Remove the bounds guard / the sync; show the symptom
Optimize 25 One change at a time, re-measure after each
Profile 15 rocprofv3 / ncu, read the counters on stream
Q&A 10+ Answer chat; log unanswered questions into the module's exercises

Rule for live: re-measure after every single change. The value of a live stream is showing that performance work is empirical, not a recipe you memorized.


Accuracy guardrails

  • Never state a benchmark number you did not run. Name the GPU, the toolkit version, and the size.
  • If AMD and NVIDIA differ (warp 32 vs wavefront 64), say both — the audience is mixed.
  • If you are unsure on stream, say "I'd have to check the guide" and link it in the description. Confidently wrong is the fastest way to lose a technical audience.