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* Add a sampling profiler for machines without perfeunhhu2026-09-271-0/+1
| | | | | | | | | | | | benchmarks/sample.c runs a command and samples where its threads spend user time (the task clock every 50 us, one perf_event_open event a CPU, since the kernel maps no ring for an inherited per-task event), then names the samples from the ELF symbol tables of the files the command had mapped: a stripped library from its debug file by build id. On arm64 it also takes the link register, so time in a library's leaf (memcpy, strcmp) is shown again by its caller. The command's user and system time head the report.
* Lay Pure out as a core with the parts selected around iteunhhu2026-09-271-0/+1
| | | | | | | | | | | | | | | | | | | | | The app model, the tree store and the HTTP host lived in prototypes/connections among the earlier document runtime, the store was known only by its format's name, and Vega compiled six Pure sources by path. Now, as the README's principle has it: core/ runtime, flow and the app model (module*.c), with what the core asks of storage (state.h, store.h) store/ the tree store (PURETRE3, PUREREC1) serve/ pure-serve: HTTP host, outbound delivery, JSON in place cli/ pure-run, pure-edit-module A top-level make builds libpure.a (app model and store, for hosts to link) and the hosts; make check runs the store's and the app model's tests. The earlier runtime still builds from prototypes/connections against core/ and store/ (check, check-tree and check-core pass). Design 009 records the rule: parts by role behind libraries; git repositories split by coupling, so the store stays here while its contract moves with the core, and Vega stays apart.
* Benchmark an app served by its views and inputseunhhu2026-09-261-0/+1
| | | | | | | | | | run.py --suite app serves the scoreboard of scores.aup (22 lines of aup) with pure-serve against the same scoreboard written by hand in axum and drogon: POST /inputs/score?points=N with a name as the body, GET /views/total and a page of 20 rows as JSON. Durable, the baselines append each score to a log and fdatasync it before answering (replayed at start); the load generator learns the three requests.
* Benchmark the HTTP hosts against axumeunhhu2026-09-261-0/+2
| | | | | | | | | | | | A C load generator, an axum service with the same document contract (in memory, fdatasync, and crash-safe replacement), and a runner that pins the servers and the load to separate CPUs. On the Pi 5, Pure uses about 40% less memory, wins with a new connection per request and with eight durable writers (3.2x the crash-safe axum), but loses 5x on keep-alive reads and 1.5x on 64 durable writers: no persistent connections, one thread, eight connection slots and two fsyncs per commit. Note 075 records the numbers and the targets.
* Establish native micro runtime checkpointeunhhu2026-09-241-0/+7