[{"data":1,"prerenderedAt":240},["ShallowReactive",2],{"run:lego-a7-batched-30k":3,"run-findings:lego-a7-batched-30k":192},{"run":4,"config":17,"metrics":48,"curve":54,"assets":186},{"id":5,"title":5,"subtitle":6,"eyebrow":7,"date":8,"workspace":9,"commit":10,"tags":11,"verdict":16},"lego-a7-batched-30k","A.7 batched cmd buffer — extract+rasterize.forward と backward chain を 1 cmd buffer 集約","Run summary · Phase 5","2026-05-23","splat","95e8630",[12,13,14,15],"a-7","icb-batching","lego-30k","phase-5","partial",[18,21,24,27,30,33,36,39,42,45],{"key":19,"value":20},"dataset","\u002FUsers\u002Fotkrickey\u002Fdev\u002F3dgs-workspace\u002Fdatasets\u002Fnerf_synthetic\u002Flego",{"key":22,"value":23},"iterations","30,000",{"key":25,"value":26},"seed","42",{"key":28,"value":29},"capacity","1,000,000 splats",{"key":31,"value":32},"sh_degree","3",{"key":34,"value":35},"loss","L1Ssim",{"key":37,"value":38},"lambda","0.200",{"key":40,"value":41},"ssim","window=7 sigma=1",{"key":43,"value":44},"backend.backward","Simd",{"key":46,"value":47},"backend.loss_path","Gpu",{"psnr":49,"wallclock":50,"wallclock_regress":51,"splats":52,"final_loss":53},24.5767765045166,"21m 47s",false,82855,"2.389536e-2",{"loss":55,"splats":180},{"iters":56,"values":118},[57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117],1,500,1000,1500,2000,2500,3000,3500,4000,4500,5000,5500,6000,6500,7000,7500,8000,8500,9000,9500,10000,10500,11000,11500,12000,12500,13000,13500,14000,14500,15000,15500,16000,16500,17000,17500,18000,18500,19000,19500,20000,20500,21000,21500,22000,22500,23000,23500,24000,24500,25000,25500,26000,26500,27000,27500,28000,28500,29000,29500,30000,[119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179],0.3453390598297119,0.11787907779216766,0.10385922342538834,0.08335991948843002,0.060928575694561005,0.05031894892454147,0.04373288154602051,0.040219806134700775,0.036137655377388,0.03559761866927147,0.033111874014139175,0.032508037984371185,0.03183424845337868,0.03067733719944954,0.029286928474903107,0.029128577560186386,0.02930235117673874,0.027414996176958084,0.02770582027733326,0.027359971776604652,0.026205405592918396,0.026880040764808655,0.027855340391397476,0.025725476443767548,0.027022693306207657,0.025998108088970184,0.025483597069978714,0.02533838152885437,0.02506575919687748,0.02452612668275833,0.024936407804489136,0.024938344955444336,0.02486311085522175,0.024899769574403763,0.0252968929708004,0.024530353024601936,0.025425400584936142,0.02463855966925621,0.025282401591539383,0.023943856358528137,0.025039121508598328,0.024042055010795593,0.023996662348508835,0.024300940334796906,0.026037132367491722,0.02485341764986515,0.023762837052345276,0.024286357685923576,0.023350868374109268,0.023858515545725822,0.023927895352244377,0.025194134563207626,0.024608470499515533,0.02380269207060337,0.022715136408805847,0.0226427149027586,0.023473065346479416,0.024406760931015015,0.024019360542297363,0.023369917646050453,0.02389536052942276,{"iters":181,"values":182},[57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117],[183,184,185,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52],5207,5494,21134,{"has_renders":187,"has_splat":51,"render_views":188},true,[189,190,191],"00","01","02",[193,217],{"id":194,"title":195,"date":8,"status":196,"polarity":197,"category":198,"axes":199,"tags":201,"task_code":208,"related_runs":209,"delta_psnr":211,"delta_wallclock":212,"rank":213,"verdict":214,"impact_summary":215,"detail_path":216},"a-7-icb-batching-results","A.7 batched cmd buffer — wallclock -6.2% 改善 + PSNR drift -0.30 dB","stable","positive","experiment",[200],3,[15,202,203,204,205,206,207],"icb","command-buffer","batching","metal","apple-silicon","results","A.7",[210,5],"lego-sh3-30k","-0.302 dB (24.577 vs 24.879)","-6.16% (1307.26s vs 1393s = -85.74s)","mid","accepted","scope B 限定版 (forward 末尾の extract_offsets + rasterize.forward を 1 cmd buffer、backward chain の rasterize.backward + project_backwards を 1 cmd buffer) を env SPLAT_BATCHED_FORWARD=1 で活性化。30k bench で wallclock -6.2% \u002F PSNR drift -0.30 dB、Mildly positive。期待 -6〜-12% の下限、Apple Silicon の commit overhead が予想より小さい示唆。","\u002Ffindings\u002Fa-7-icb-batching-results\u002F",{"id":218,"title":219,"date":8,"status":196,"polarity":220,"category":198,"axes":221,"tags":222,"task_code":208,"related_runs":226,"delta_psnr":235,"delta_wallclock":236,"rank":237,"verdict":16,"impact_summary":238,"detail_path":239},"a-7-multi-scene-batched","A.7 × multi-scene — batching 効果は scene 依存 (-1.6% 〜 -18.6% で 12x の幅)","mixed",[200],[15,12,202,223,224,225,206],"batched","multi-scene","scene-dependency",[227,228,229,230,231,232,233,234,210,5],"chair-30k","chair-batched-30k","ficus-30k","ficus-batched-30k","drums-30k","drums-batched-30k","hotdog-30k","hotdog-batched-30k","+0.130 dB 〜 -0.828 dB (mean -0.21 dB)","-1.6% 〜 -18.6% (mean -7.0%)","high","A.7 batched cmd buffer の wallclock 改善は scene 依存で chair -18.6% \u002F hotdog -5.4% \u002F drums -3.4% \u002F ficus -1.6% \u002F lego -6.16% の 5 シーン (12x の幅)。chair の突出は splat 数最大 (~130k) + scene geometry の compute\u002Fcommit ratio が高いことが要因と推測。一方 ficus \u002F drums は variance 範囲内、独立 effect 断定不可。卒論で「A.7 effective ≠ universal、scene 選択 + workload analysis 必須」と honest framing。","\u002Ffindings\u002Fa-7-multi-scene-batched\u002F",1782449787767]