rayon
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
rayon has 38 facts recorded in Dontopedia across 21 references, with 2 live disagreements.
Mostly:rdf:type(6), is rust parallelism library(1), references prior benchmark(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (24)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
usesLibraryUses Library(7)
- Cnn Frontend
ex:cnn-frontend - Commit 2
ex:commit-2 - Parallelization Strategy
ex:parallelization-strategy - Rayon Multicore
ex:rayon-multicore - Rayon Parallelism
ex:rayon-parallelism - Rayon Parallel Population Training
ex:rayon-parallel-population-training - Rayon Parallel Training
ex:rayon-parallel-training
usesTechnologyUses Technology(2)
- Benchmark Run 1
ex:benchmark-run-1 - Dense Commutator Table Setup
ex:dense-commutator-table-setup
attributedToLibraryAttributed to Library(1)
- Rayon Overhead
ex:rayon-overhead
composableSequentiallyWithComposable Sequentially With(1)
- 4 Wide Laplacian Processing
ex:4-wide-laplacian-processing
composableWithRayonComposable With Rayon(1)
- 4 Wide Laplacian Processing
ex:4-wide-laplacian-processing
enableParallelizationEnable Parallelization(1)
- Seven Groups
ex:seven-groups
hasParallelTrainingHas Parallel Training(1)
- Fedsym Project
ex:fedsym-project
involvesLibraryInvolves Library(1)
- Priority Item 1
ex:priority-item-1
isSlowerThanIs Slower Than(1)
- Serial Version
ex:serial-version
isTargetOfScopingIs Target of Scoping(1)
- Train Full Batch Loop
ex:train-full-batch-loop
plansToParallelizeWithPlans to Parallelize With(1)
- Xenonfun
ex:xenonfun
scopesRayonScopes Rayon(1)
- Xenonfun
ex:xenonfun
usesUses(1)
- Quick Wins
ex:quick-wins
usesConcurrencyLibraryUses Concurrency Library(1)
- Cpu Path
ex:cpu-path
usesRayonUses Rayon(1)
- Dense Commutator Table
ex:dense-commutator-table
usesRayonForLargeGridsUses Rayon for Large Grids(1)
- Scalar Cpu
ex:scalar-cpu
usesSoftwareLibraryUses Software Library(1)
- Benchmark 100m Pts
ex:benchmark-100m-pts
Other facts (34)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Library | [15] |
| Rdf:type | Library | [16] |
| Rdf:type | Software Library | [17] |
| Rdf:type | Software Library | [19] |
| Rdf:type | Library | [20] |
| Rdf:type | Library | [21] |
| Is Rust Parallelism Library | rayon | [1] |
| References Prior Benchmark | Pre Rayon 48k | [2] |
| Presupposes Prior Implementation | True | [2] |
| Causes Speedup | 1.8× | [2] |
| Is Evaluated Positively | True | [2] |
| Fully Saturates Cores at Large Grids | Large Grids | [3] |
| References Rust Parallel Iterator | Rayon Crate | [3] |
| Saturates All | M4 Performance Cores | [4] |
| Multi Threading Library | {} | [4] |
| References Rust Crate | Rayon Crate | [5] |
| Is Parallelization Library | true | [6] |
| Spreads Across Cores | true | [6] |
| Has Crossover Point Count | 1000000 | [7] |
| Is Rust Parallel Lib | null | [7] |
| Used for Cpu Parallelism | null | [7] |
| Supports Parallel Updates Across Pcores | M3 Ultra | [8] |
| Could Implement Checkerboard Update | Even Sites Then Odd Sites | [8] |
| Achieves Speedups Over | Serial Version | [9] |
| At Batch Size Achieves Tok Per S | 9765 | [9] |
| Improves to Within2x | Python | [9] |
| Within Factor of | Python Rtx3060 | [9] |
| Provides Batch Parallelism | Item 2 | [10] |
| Used for Batch Parallelism | null | [11] |
| Is Rust Parallelism Crate | true | [12] |
| Overhead Amortizes | at large N | [13] |
| Is in Dependencies | null | [14] |
| Enables Rust Parallelism | null | [14] |
| Has Overhead | true | [16] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (21)
ctx:discord/blah/watt-activation/part-463ctx:discord/blah/watt-activation/part-476ctx:discord/blah/watt-activation/part-527ctx:discord/blah/watt-activation/part-528ctx:discord/blah/watt-activation/part-536ctx:discord/blah/watt-activation/part-539ctx:discord/blah/watt-activation/part-568ctx:discord/blah/watt-activation/part-599ctx:discord/blah/watt-activation/part-641ctx:discord/blah/watt-activation/part-642ctx:discord/blah/watt-activation/part-666ctx:discord/blah/watt-activation/part-526ctx:discord/blah/watt-activation/part-544ctx:discord/blah/watt-activation/part-475ctx:discord/blah/watt-activation/462- full textwatt-activation-462text/plain3 KB
doc:agent/watt-activation-462/febf8ec9-a379-45c7-a43f-2ebdaf74b41fShow excerpt
[2026-03-21 17:58] xenonfun: ``` ⏺ Pushed. Here's the full status across 3 commits today: Commit 1 — Core FedSym port (8,069 lines, 106 tests) Commit 2 — MNIST, rayon parallel, ManifoldUnit forward (1,157 lines, 14 new tests) Commit …
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doc:agent/watt-activation-473/bbee128e-eb0e-43a7-904e-88cd885d13ddShow excerpt
[2026-03-21 19:47] xenonfun: ``` ⏺ Both done. Side-by-side comparison: ┌──────────┬─────────────┬────────────┐ │ │ Finite-diff │ Analytical │ ├──────────┼─────────────┼────────────┤ │ Best BPB │ 2.04 │ 2.19 │ …
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doc:agent/watt-activation-475/e1172583-2318-4515-b9d4-b2208603f689Show excerpt
[2026-03-21 20:42] xenonfun: ``` ⏺ Clean tree, all pushed. Here's the full session summary: Session Summary: 15 commits, ~20K new lines FedSym Evolutionary Framework (complete): - 15 modules: config, activation, unit, training, fusi…
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doc:agent/watt-activation-525/133fb518-fad6-4e16-a093-f95c1d94dda4Show excerpt
[2026-03-23 01:57] xenonfun: ⏺ 16.7 million grid points, 384 MB, 104M point-updates/s, 13.1 GFLOP/s. That's 10x the original single-core throughput at scale. Rayon is fully saturating all M4 performance cores. The scaling curve shows we'…
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doc:agent/watt-activation-524/7be280bc-6f35-4f26-ab03-e8a9220e30edShow excerpt
[2026-03-23 01:54] xenonfun: Performance Results ``` ┌───────────┬───────────────┬───────────────┬─────────┐ │ Grid size │ Before │ After │ Speedup │ ├───────────┼───────────────┼───────────────┼─────────┤ │ n=512 …
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doc:agent/watt-activation-596/83561bf3-adfc-4a74-8293-71c29d442bdfShow excerpt
[2026-04-04 18:11] xenonfun: ⏺ scalar_product went from 10,789 µs to 142 µs — 76× speedup. The precomputed scalar pairs reduced ~1024 iterations to ~32. Overall Metropolis per-site: 4.8× speedup, from 21 µs/site to 4.3 µs/site. For a …
ctx:discord/blah/watt-activation/629- full textwatt-activation-629text/plain3 KB
doc:agent/watt-activation-629/23bf04a4-e754-4ece-8525-729dd63d8627Show excerpt
[2026-04-15 22:07] xenonfun: ⏺ The output is strikingly coherent for a 25M-param byte-level model trained on dialogue: ``` ▎ Alan Turing: What do you think about consciousness? ▎ I find your consciousness in a principle in the world's w…
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