chunked approach
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
chunked approach has 14 facts recorded in Dontopedia across 3 references.
Mostly:better than(1), bounds5 d tensors(1), keeps bounded(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (8)
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.
comparesCompares(1)
- Xenonfun
ex:xenonfun
evaluatesEvaluates(1)
- Xenonfun
ex:xenonfun
isSimplerThanIs Simpler Than(1)
- Commit 26ea2cc
ex:commit-26ea2cc
supportsParallelismSupports Parallelism(1)
- Gpu
ex:gpu
Other facts (13)
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 |
|---|---|---|
| Better Than | Per Anchor Loop | [1] |
| Bounds5 D Tensors | True | [1] |
| Keeps Bounded | 5d Tensors | [1] |
| Maintains | Gpu Parallelism | [1] |
| Practical Winner | True | [1] |
| Processes | chunk_size timesteps at a time | [1] |
| Status | practical winner | [2] |
| Processing Unit | timestep | [2] |
| Chunk Size | chunk_size | [2] |
| Bounds Tensor Dimensionality | 5D tensors | [2] |
| Maintains Parallelism | Gpu Parallelism | [2] |
| Rdf:type | Technique | [3] |
| Resets Precision at | Chunk Boundary | [3] |
Timeline
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References (3)
ctx:discord/blah/watt-activation/part-74ctx:discord/blah/watt-activation/74- full textwatt-activation-74text/plain3 KB
doc:agent/watt-activation-74/f0e790ce-8e1d-4951-819d-93d9164a6692Show excerpt
[2026-03-07 18:16] xenonfun: The loop formulation exactly matches the quadratic reference A_ij = Σ_a w_ia * w_ja. Now the user has sent a second message with an even better approach — the streaming prefix-state formulation using two eins…
ctx:discord/blah/watt-activation/105- full textwatt-activation-105text/plain3 KB
doc:agent/watt-activation-105/561920dc-7f65-4ab4-80fa-8e3162aa9046Show excerpt
[2026-03-08 19:26] xenonfun: ``` What They're Leaving on the Table 1. No mx.compile — Their benchmark and model run eagerly. From our experience with AnchorKAN at similar scale, compiled step gives ~1.5-2x throughput improvement on M…
See also
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