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Open-source WebGL/WebGPU 3D engine for the web

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const onesweepGlobalHistSource = ( /* wgsl */ ` @group(0) @binding(0) var<storage, read> b_sort: array<vec4<u32>>; @group(0) @binding(1) var<storage, read_write> b_globalHist: array<atomic<u32>>; struct OneSweepUniforms { numKeys: u32, threadBlocks: u32, // number of DigitBinningPass workgroups (unused here) numPasses: u32, // 1..MAX_PASSES _pad: u32 }; @group(0) @binding(2) var<uniform> uniforms: OneSweepUniforms; #ifdef USE_INDIRECT_SORT // Indirect dispatch: numKeys is GPU-written. uniforms.numKeys is ignored. @group(0) @binding(3) var<storage, read> b_sortElementCount: array<u32>; #endif const RADIX: u32 = 256u; const MAX_PASSES: u32 = 4u; const G_HIST_DIM: u32 = {G_HIST_DIM}u; const G_HIST_PART_SIZE: u32 = {G_HIST_PART_SIZE}u; const G_HIST_PART_SIZE_VEC: u32 = G_HIST_PART_SIZE / 4u; // partition in vec4 units const SHARED_HIST_SIZE: u32 = 2u * MAX_PASSES * RADIX; // 2048 // 2 rows \xD7 MAX_PASSES \xD7 RADIX u32 atomics. For NUM_PASSES < MAX_PASSES the // trailing rows are unused but harmless. var<workgroup> g_gHist: array<atomic<u32>, SHARED_HIST_SIZE>; fn histOffset(row: u32, pass_: u32) -> u32 { return row * RADIX + pass_ * 2u * RADIX; } @compute @workgroup_size(G_HIST_DIM, 1, 1) fn main( @builtin(local_invocation_index) gtid: u32, @builtin(workgroup_id) gid: vec3<u32>, @builtin(num_workgroups) nwg: vec3<u32>, ) { let flatGid = gid.x + gid.y * nwg.x; let numPasses = uniforms.numPasses; #ifdef USE_INDIRECT_SORT let numKeys = b_sortElementCount[0]; #else let numKeys = uniforms.numKeys; #endif // Clear shared histogram (only the rows we'll actually use). let sharedEnd = 2u * numPasses * RADIX; for (var i = gtid; i < sharedEnd; i = i + G_HIST_DIM) { atomicStore(&g_gHist[i], 0u); } workgroupBarrier(); // Process this workgroup's partition tile (vec4 units). The loop bound // is clamped to FULL vec4s (numKeys >> 2u); any partial trailing vec4 // is handled out-of-loop by a single thread below. let row = gtid / 64u; // 0 or 1 let numKeysVecFull = numKeys >> 2u; let partitionStartVec = flatGid * G_HIST_PART_SIZE_VEC; let partitionEndVec = min(partitionStartVec + G_HIST_PART_SIZE_VEC, numKeysVecFull); // Fast path: all 4 lanes always valid, no per-lane bounds checks. // Unrolled per-lane, per-pass digit extraction; numPasses is known at // runtime but MAX_PASSES is compile-time, so naga strips the guarded // blocks for NUM_PASSES < 4. for (var i = partitionStartVec + gtid; i < partitionEndVec; i = i + G_HIST_DIM) { let q = b_sort[i]; if (numPasses >= 1u) { let off = histOffset(row, 0u); atomicAdd(&g_gHist[(q.x & 0xFFu) + off], 1u); atomicAdd(&g_gHist[(q.y & 0xFFu) + off], 1u); atomicAdd(&g_gHist[(q.z & 0xFFu) + off], 1u); atomicAdd(&g_gHist[(q.w & 0xFFu) + off], 1u); } if (numPasses >= 2u) { let off = histOffset(row, 1u); atomicAdd(&g_gHist[((q.x >> 8u) & 0xFFu) + off], 1u); atomicAdd(&g_gHist[((q.y >> 8u) & 0xFFu) + off], 1u); atomicAdd(&g_gHist[((q.z >> 8u) & 0xFFu) + off], 1u); atomicAdd(&g_gHist[((q.w >> 8u) & 0xFFu) + off], 1u); } if (numPasses >= 3u) { let off = histOffset(row, 2u); atomicAdd(&g_gHist[((q.x >> 16u) & 0xFFu) + off], 1u); atomicAdd(&g_gHist[((q.y >> 16u) & 0xFFu) + off], 1u); atomicAdd(&g_gHist[((q.z >> 16u) & 0xFFu) + off], 1u); atomicAdd(&g_gHist[((q.w >> 16u) & 0xFFu) + off], 1u); } if (numPasses >= 4u) { let off = histOffset(row, 3u); atomicAdd(&g_gHist[((q.x >> 24u) & 0xFFu) + off], 1u); atomicAdd(&g_gHist[((q.y >> 24u) & 0xFFu) + off], 1u); atomicAdd(&g_gHist[((q.z >> 24u) & 0xFFu) + off], 1u); atomicAdd(&g_gHist[((q.w >> 24u) & 0xFFu) + off], 1u); } } // Ragged-tail path: at most ONE vec4 at index (numKeys >> 2u) has 1-3 // valid lanes (never 4 \u2014 if it were, the fast loop would own it). The // thread whose position in the strided loop would have landed on // tailIdx handles it; everyone else falls through. let tailIdx = numKeysVecFull; if ((numKeys & 3u) != 0u && tailIdx >= partitionStartVec && tailIdx < partitionStartVec + G_HIST_PART_SIZE_VEC && (tailIdx - partitionStartVec) % G_HIST_DIM == gtid) { let q = b_sort[tailIdx]; let base = tailIdx << 2u; // Lane 3 is always invalid here (numKeys % 4 == 1/2/3), so it is // unconditionally dropped. Lanes 0..2 are guarded. if (numPasses >= 1u) { let off = histOffset(row, 0u); if (base + 0u < numKeys) { atomicAdd(&g_gHist[(q.x & 0xFFu) + off], 1u); } if (base + 1u < numKeys) { atomicAdd(&g_gHist[(q.y & 0xFFu) + off], 1u); } if (base + 2u < numKeys) { atomicAdd(&g_gHist[(q.z & 0xFFu) + off], 1u); } } if (numPasses >= 2u) { let off = histOffset(row, 1u); if (base + 0u < numKeys) { atomicAdd(&g_gHist[((q.x >> 8u) & 0xFFu) + off], 1u); } if (base + 1u < numKeys) { atomicAdd(&g_gHist[((q.y >> 8u) & 0xFFu) + off], 1u); } if (base + 2u < numKeys) { atomicAdd(&g_gHist[((q.z >> 8u) & 0xFFu) + off], 1u); } } if (numPasses >= 3u) { let off = histOffset(row, 2u); if (base + 0u < numKeys) { atomicAdd(&g_gHist[((q.x >> 16u) & 0xFFu) + off], 1u); } if (base + 1u < numKeys) { atomicAdd(&g_gHist[((q.y >> 16u) & 0xFFu) + off], 1u); } if (base + 2u < numKeys) { atomicAdd(&g_gHist[((q.z >> 16u) & 0xFFu) + off], 1u); } } if (numPasses >= 4u) { let off = histOffset(row, 3u); if (base + 0u < numKeys) { atomicAdd(&g_gHist[((q.x >> 24u) & 0xFFu) + off], 1u); } if (base + 1u < numKeys) { atomicAdd(&g_gHist[((q.y >> 24u) & 0xFFu) + off], 1u); } if (base + 2u < numKeys) { atomicAdd(&g_gHist[((q.z >> 24u) & 0xFFu) + off], 1u); } } } workgroupBarrier(); // Reduce rows and atomically add into global histogram. for (var i = gtid; i < RADIX; i = i + G_HIST_DIM) { for (var p = 0u; p < numPasses; p = p + 1u) { let row0 = atomicLoad(&g_gHist[i + histOffset(0u, p)]); let row1 = atomicLoad(&g_gHist[i + histOffset(1u, p)]); let total = row0 + row1; if (total != 0u) { atomicAdd(&b_globalHist[i + p * RADIX], total); } } } } ` ); var onesweep_global_hist_default = onesweepGlobalHistSource; export { onesweep_global_hist_default as default, onesweepGlobalHistSource };