pith:5WBQNOLB
TTP: A Hardware-Efficient Design for Precise Prefetching in Ray Tracing
A prefetcher that monitors consecutive pops from ray tracing traversal stacks delivers 1.48x average speedup with negligible hardware overhead.
arxiv:2605.16253 v1 · 2026-05-15 · cs.AR
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Claims
We propose a novel hardware prefetcher, named Tree Traversal Prefetcher (TTP), for ray tracing. ... TTP achieves 1.48x speedup on average (up to 1.89x) compared to the baseline, with nearly negligible hardware overhead. TTP achieves 98.92% average L1 accuracy, which is the ratio of the prefetched blocks being actually referenced by demand loads.
The cycle-level simulator Vulkan-sim 2.0 accurately reproduces the memory access patterns and traversal stack behavior of real ray tracing hardware, and that consecutive stack pops reliably indicate useful upward traversal for prefetching without causing cache pollution.
TTP is a hardware prefetcher for ray tracing that leverages traversal stack addresses during DFS to prefetch BVH nodes, achieving 1.48x average speedup and 98.92% L1 accuracy in cycle-level simulations.
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| First computed | 2026-05-20T00:02:00.261293Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ed8306b9615ae1a88fc24ccebb8796cd58bf80e891dd69a525c0dc9bf9447d77
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5WBQNOLBLLQ2RD6CJTHLXB4WZV \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: ed8306b9615ae1a88fc24ccebb8796cd58bf80e891dd69a525c0dc9bf9447d77
Canonical record JSON
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