wgpu streaming: spatial chunk planning + coalesced multi-range reads

Chunks are now grouped by world-space centroid instead of mesh-id
range, so each chunk's AABB tightly bounds its geometry instead of
spanning the whole model. Distance-based eviction can finally
distinguish the near corner of a skyscraper from the far corner.

Algorithm:
1. Compute each mesh's centroid = mean of its instances' world AABB
   centres.
2. Sort mesh indices lexicographically by (z, y, x) centroid. Stable
   sort keeps mesh-id order as tiebreaker for instanced repeats.
3. Greedy-pack sorted meshes into chunks ≤ WGPU_CHUNK_VERTEX_BYTES_LIMIT.
4. Each Chunk stores its mesh_ids list; the per-mesh layout (chunk_local
   base_vertex / ebo_first_u32) is computed by walking the list at plan
   time.

Loader: chunk vertex/index bytes are no longer file-contiguous, so
streaming uses new multi-range read paths
(readSidecarVertexRanges / readSidecarIndexRanges). Each range list
is sorted by file offset and adjacent ranges coalesced with a 64 KB
gap tolerance — on the close-camera benchmark this brings the
per-chunk seek count back down to ~mesh-id-grouping levels, so the
spatial sort costs ~nothing on I/O while delivering tighter AABBs.

Non-streaming applyCachedModel mirrors the spatial plan but gathers
from in-memory data.vertices / data.indices via per-mesh
queueWriteBuffer calls at chunk-local offsets.

Chunk struct drops vertex_byte_offset and index_first_u32 (no longer
meaningful — each chunk is N scattered ranges). vertex_byte_size and
index_count stay as aggregates for pool sizing + eviction math.

Tuning: kept WGPU_CHUNK_VERTEX_BYTES_LIMIT at 128 MB. Tried 8 MB and
32 MB; both gave tighter AABBs but the scatter-gather I/O cost blew
up because the per-frame load count grows linearly as chunks shrink
(orbit shifts the working set faster across finer chunks). 128 MB +
coalescing is the empirical sweet spot pre-v14. Once sidecar v14
re-orders bytes on disk to match spatial chunks, we can drop the
limit to ~8 MB for sharp eviction without re-paying the seek cost.

Benchmarks (big federation, --streaming):
  close camera:     avg 36 fps median 53 (was 35/49) — parity
  default camera:   avg 33 fps median 47 (was 40/49) — small regression
                    likely from increased coalesce overhead on more-
                    scattered orbit traversals; will resolve with v14.

Pixel-identical to non-streaming on basic.ifc on both paths.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
Dion Moult
2026-05-28 14:45:15 +10:00
parent c3a55d7f7b
commit 4d36174200
4 changed files with 435 additions and 217 deletions
+150
View File
@@ -35,7 +35,9 @@
#include "WgpuStreamingLoader.h"
#include <algorithm>
#include <cstdio>
#include <cstring>
namespace {
@@ -168,3 +170,151 @@ bool readSidecarIndexChunk(const std::string& ifc_path,
std::fclose(f);
return got == size_t(chunk_index_count);
}
// Coalesce ranges that are close in file order into single reads. The
// input order is preserved in the destination buffer; we just merge
// reads on the file side. A `max_gap_bytes` tolerance lets us swallow
// small file gaps when reading would be cheaper than seeking.
//
// SIDE EFFECT: callers must give the dst buffer in INPUT order; the
// reader scatters bytes via per-input-range dst offsets after a single
// coalesced fread. Returns false on any I/O failure.
namespace {
struct ReadPlan {
uint64_t file_offset; // absolute file offset
uint64_t read_size; // total bytes to read
// Per input range: where its bytes land in this read, and where to
// copy them into the destination buffer.
struct Slice {
uint64_t src_offset; // offset within the read buffer
uint64_t dst_offset; // offset within the destination buffer
uint64_t bytes;
};
std::vector<Slice> slices;
};
// Build a plan that merges adjacent file ranges into single reads.
// `ranges` are (section-relative offset, size). `max_gap_bytes` is the
// largest "wasted bytes" we'll read to bridge two ranges into one read.
std::vector<ReadPlan> buildReadPlan(
uint64_t section_offset,
const std::vector<std::pair<uint64_t, uint64_t>>& ranges,
uint64_t max_gap_bytes) {
// Sort by file offset, remembering original order so we can scatter
// to the destination correctly.
struct Indexed { uint64_t off, size, dst; };
std::vector<Indexed> sorted;
sorted.reserve(ranges.size());
uint64_t dst_cursor = 0;
for (const auto& [off, sz] : ranges) {
sorted.push_back({off, sz, dst_cursor});
dst_cursor += sz;
}
std::sort(sorted.begin(), sorted.end(),
[](const Indexed& a, const Indexed& b) { return a.off < b.off; });
std::vector<ReadPlan> plans;
for (const auto& r : sorted) {
if (r.size == 0) continue;
if (!plans.empty()) {
ReadPlan& back = plans.back();
const uint64_t end_of_back = back.file_offset + back.read_size;
const uint64_t r_file = section_offset + r.off;
if (r_file >= end_of_back && r_file - end_of_back <= max_gap_bytes) {
// Merge: extend the read to include r (plus any gap).
const uint64_t new_size = (r_file + r.size) - back.file_offset;
back.slices.push_back({
r_file - back.file_offset, // src within read
r.dst,
r.size,
});
back.read_size = new_size;
continue;
}
}
ReadPlan np;
np.file_offset = section_offset + r.off;
np.read_size = r.size;
np.slices.push_back({0, r.dst, r.size});
plans.push_back(std::move(np));
}
return plans;
}
} // namespace
bool readSidecarVertexRanges(const std::string& ifc_path,
uint64_t vertex_section_offset,
const std::vector<std::pair<uint64_t, uint64_t>>& ranges,
std::vector<uint8_t>& out_bytes) {
uint64_t total = 0;
for (const auto& r : ranges) total += r.second;
out_bytes.resize(size_t(total));
if (total == 0) return true;
// 64 KB max gap: on SSDs a small contiguous read is much cheaper
// than a seek + fresh read, even if some bytes are discarded.
auto plans = buildReadPlan(vertex_section_offset, ranges, 64 * 1024);
const std::string path = sidecarPath(ifc_path);
FILE* f = std::fopen(path.c_str(), "rb");
if (!f) return false;
std::vector<uint8_t> scratch;
for (const auto& p : plans) {
scratch.resize(size_t(p.read_size));
if (std::fseek(f, long(p.file_offset), SEEK_SET) != 0) { std::fclose(f); return false; }
if (std::fread(scratch.data(), 1, scratch.size(), f) != scratch.size()) {
std::fclose(f); return false;
}
for (const auto& s : p.slices) {
std::memcpy(out_bytes.data() + s.dst_offset,
scratch.data() + s.src_offset, size_t(s.bytes));
}
}
std::fclose(f);
return true;
}
bool readSidecarIndexRanges(const std::string& ifc_path,
uint64_t index_section_offset,
const std::vector<std::pair<uint64_t, uint64_t>>& ranges,
std::vector<uint32_t>& out_indices) {
uint64_t total = 0;
for (const auto& r : ranges) total += r.second;
out_indices.resize(size_t(total));
if (total == 0) return true;
// Convert u32-range (first_u32, count_u32) to byte-range
// (file_offset, byte_size). Then coalesce + read.
std::vector<std::pair<uint64_t, uint64_t>> byte_ranges;
byte_ranges.reserve(ranges.size());
uint64_t out_byte_cursor = 0;
for (const auto& [first_u32, count] : ranges) {
// Store byte offsets relative to the index section.
byte_ranges.emplace_back(first_u32 * 4u, count * 4u);
out_byte_cursor += count * 4u;
}
auto plans = buildReadPlan(index_section_offset, byte_ranges, 64 * 1024);
const std::string path = sidecarPath(ifc_path);
FILE* f = std::fopen(path.c_str(), "rb");
if (!f) return false;
std::vector<uint8_t> scratch;
uint8_t* out_bytes = reinterpret_cast<uint8_t*>(out_indices.data());
for (const auto& p : plans) {
scratch.resize(size_t(p.read_size));
if (std::fseek(f, long(p.file_offset), SEEK_SET) != 0) { std::fclose(f); return false; }
if (std::fread(scratch.data(), 1, scratch.size(), f) != scratch.size()) {
std::fclose(f); return false;
}
for (const auto& s : p.slices) {
std::memcpy(out_bytes + s.dst_offset,
scratch.data() + s.src_offset, size_t(s.bytes));
}
}
std::fclose(f);
return true;
}