Mpsgraph
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Mpsgraph has 16 facts recorded in Dontopedia across 3 references.
Mostly:minimizes dispatch automatically(1), is no handwritten kernels(1), fuses kernels(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (3)
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.
hadNotHeardMpsgraphBeforeHad Not Heard Mpsgraph Before(1)
- Xenonfun
ex:xenonfun
involvesTechnologyInvolves Technology(1)
- Mpsgraph Based Forward
ex:mpsgraph-based-forward
loadTimeGraphConstructionLoad Time Graph Construction(1)
- Models
ex:models
Other facts (16)
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 |
|---|---|---|
| Minimizes Dispatch Automatically | true | [1] |
| Is No Handwritten Kernels | true | [1] |
| Fuses Kernels | true | [1] |
| Drops Dispatch Count to | ~3 | [2] |
| Is Right Call | Yes | [2] |
| Avoids Handwritten Shaders | Msl Shaders | [2] |
| Avoids Refactor of | Forward Train | [2] |
| Drops Dispatch Count From | ~414 | [2] |
| Originally Hoped From | Option a | [2] |
| Promises Fusion As Advertised | Metal Win | [2] |
| Superior to Sequence Batched | Less Churn | [2] |
| Uses Apples Graph Compiler | Apples Graph Compiler | [2] |
| Rdf:type | Technology | [3] |
| Has Owner | Apple | [3] |
| Provides Kernel Fusion | true | [3] |
| Minimizes Dispatch | true | [3] |
Timeline
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References (3)
ctx:discord/blah/watt-activation/part-641ctx:discord/blah/watt-activation/part-642ctx:discord/blah/watt-activation/638- full textwatt-activation-638text/plain3 KB
doc:agent/watt-activation-638/539b1483-cc08-42f3-9ea1-6a7f6ae47ab8Show excerpt
[2026-04-16 00:45] xenonfun: ``` ⏺ Let me answer the Python question first, then look at rayon parallelism. Python training setup (from scaling_wave_native_curriculum.py): - BATCH_SIZE = 32 (base script has BATCH_SIZE=16 with GRAD_ACCU…
See also
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