ppopp-related-work
Use when writing or auditing a PPoPP paper's related-work and positioning, covering the parallel-programming literature lanes (concurrent data structures, runtimes/schedulers, GPU/accelerators, memory models, parallel algorithms), delta-first comparison against the nearest competitor, double-blind self-citation, and separating PPoPP work from CGO/PLDI/POPL/SC neighbors.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ppopp-related-work --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# PPoPP Related Work Position the paper against the parallel-programming literature, not the whole of systems. A PPoPP reviewer is an expert in your subarea and will know the two or three works you must beat. The job is **delta-first**: state precisely what your structure/runtime/algorithm does that the nearest prior parallel-programming work does not, in measurable terms. ## Cover the right lanes Map your contribution onto the PPoPP literature lanes and cover the ones you touch: - **Concurrent data structures** — lock-free/wait-free lists, maps, queues, skip lists; progress guarantees; memory reclamation (hazard pointers, epoch-based, RCU). - **Runtimes and schedulers** — work-stealing, task graphs, futures, fork/join, load balancing, parallel-loop scheduling. - **GPU and accelerator programming** — kernel design, occupancy/divergence, heterogeneous scheduling, memory movement, warp-level primitives. - **Memory models and concurrency correctness** — weak-memory reasoning, race detection, linearizability checking, verified concurrency. - **Parallel algorithms in practice** — graph, sparse, numerical kernels; locality/NUMA engineering. - **Parallel languages/compilers-for-parallelis
- Cover the right lanes
- Delta-first, in measurable terms
- The nearest-competitor test
- Double-blind self-citation
- Separating PPoPP from its neighbors in the prose
- Common failures
- Output format
What does the ppopp-related-work skill do?
Use when writing or auditing a PPoPP paper's related-work and positioning, covering the parallel-programming literature lanes (concurrent data structures, runtimes/schedulers, GPU/accelerators, memory models, parallel algorithms), delta-first comparison against the nearest competitor, double-blind self-citation, and separating PPoPP work from CGO/PLDI/POPL/SC neighbors.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ppopp-related-work --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.