• No results found

1 Numbers of Draw CAlls

N/A
N/A
Protected

Academic year: 2022

Share "1 Numbers of Draw CAlls"

Copied!
51
0
0

Laster.... (Se fulltekst nå)

Fulltekst

(1)

1 Numbers of Draw CAlls

(2)

NV2080Ti’ AND numCubes=1000 AND NOT scene = ’gallery’ AND ”=’ NV2080Ti’ AND numCubes=50000 AND NOT scene = ’gallery’ AND ”=’

1920x1080 1440x1600 1920x1080 1440x1600

bistro 2

P(n, ,

...

): 70.0 P(

n2

, ,

...

): 70.0 P(

n4

, , ,

...

): 70.0

P(1, , ,

...

): 70.0

P(n, ,

...

): 44.0 P(

n2

, ,

...

): 44.0 P(

n4

, , ,

...

): 44.0

P(1, , ,

...

): 44.0

P(n, ,

...

): 1017.0 P(

n2

, ,

...

): 1021.0 P(

n4

, , ,

...

): 1021.0

P(1, , ,

...

): 1021.0

P(n, ,

...

): 583.0 P(

n2

, ,

...

): 587.0 P(

n4

, , ,

...

): 587.0

P(1, , ,

...

): 587.0

4

P(n, ,

...

): 70.0 P(

n2

, ,

...

): 70.0 P(

n4

, , ,

...

): 70.0

P(1, , ,

...

): 70.0

P(n, ,

...

): 43.0 P(

n2

, ,

...

): 44.0 P(

n4

, , ,

...

): 44.0

P(1, , ,

...

): 44.0

P(n, ,

...

): 1017.0 P(

n2

, ,

...

): 1021.0 P(

n4

, , ,

...

): 1026.0

P(1, , ,

...

): 1026.0

P(n, ,

...

): 582.0 P(

n2

, ,

...

): 587.0 P(

n4

, , ,

...

): 590.0

P(1, , ,

...

): 590.0

16

P(n, ,

...

): 70.0 P(

n2

, ,

...

): 70.0 P(

n4

, , ,

...

): 71.0

P(1, , ,

...

): 71.0

P(n, ,

...

): 43.0 P(

n2

, ,

...

): 44.0 P(

n4

, , ,

...

): 45.0

P(1, , ,

...

): 46.0

P(n, ,

...

): 1017.0 P(

n2

, ,

...

): 1021.0 P(

n4

, , ,

...

): 1029.0

P(1, , ,

...

): 1044.0

P(n, ,

...

): 582.0 P(

n2

, ,

...

): 587.0 P(

n4

, , ,

...

): 596.0

P(1, , ,

...

): 606.0

32

P(n, ,

...

): 69.0 P(

n2

, ,

...

): 70.0 P(

n4

, , ,

...

): 70.0

P(1, , ,

...

): 73.0

P(n, ,

...

): 43.0 P(

n2

, ,

...

): 44.0 P(

n4

, , ,

...

): 45.0

P(1, , ,

...

): 47.0

P(n, ,

...

): 1017.0 P(

n2

, ,

...

): 1021.0 P(

n4

, , ,

...

): 1029.0

P(1, , ,

...

): 1061.0

P(n, ,

...

): 582.0 P(

n2

, ,

...

): 587.0 P(

n4

, , ,

...

): 597.0

P(1, , ,

...

): 626.0

robot lab unity

2

P(n, ,

...

): 74.0 P(

n2

, ,

...

): 77.0 P(

n4

, , ,

...

): 77.0

P(1, , ,

...

): 77.0

P(n, ,

...

): 47.0 P(

n2

, ,

...

): 51.0 P(

n4

, , ,

...

): 51.0

P(1, , ,

...

): 51.0

P(n, ,

...

): 849.0 P(

n2

, ,

...

): 884.0 P(

n4

, , ,

...

): 884.0

P(1, , ,

...

): 884.0

P(n, ,

...

): 489.0 P(

n2

, ,

...

): 534.0 P(

n4

, , ,

...

): 534.0

P(1, , ,

...

): 534.0

4

P(n, ,

...

): 72.0 P(

n2

, ,

...

): 75.0 P(

n4

, , ,

...

): 80.0

P(1, , ,

...

): 80.0

P(n, ,

...

): 46.0 P(

n2

, ,

...

): 49.0 P(

n4

, , ,

...

): 52.0

P(1, , ,

...

): 52.0

P(n, ,

...

): 831.0 P(

n2

, ,

...

): 866.0 P(

n4

, , ,

...

): 931.0

P(1, , ,

...

): 931.0

P(n, ,

...

): 479.0 P(

n2

, ,

...

): 524.0 P(

n4

, , ,

...

): 563.0

P(1, , ,

...

): 563.0

16

P(n, ,

...

): 73.0 P(

n2

, ,

...

): 76.0 P(

n4

, , ,

...

): 81.0

P(1, , ,

...

): 98.0

P(n, ,

...

): 46.0 P(

n2

, ,

...

): 49.0 P(

n4

, , ,

...

): 56.0

P(1, , ,

...

): 68.0

P(n, ,

...

): 824.0 P(

n2

, ,

...

): 859.0 P(

n4

, , ,

...

): 927.0

P(1, , ,

...

): 1139.0

P(n, ,

...

): 475.0 P(

n2

, ,

...

): 519.0 P(

n4

, , ,

...

): 606.0

P(1, , ,

...

): 747.0

32

P(n, ,

...

): 72.0 P(

n2

, ,

...

): 75.0 P(

n4

, , ,

...

): 81.0

P(1, , ,

...

): 111.0

P(n, ,

...

): 46.0 P(

n2

, ,

...

): 49.0 P(

n4

, , ,

...

): 56.0

P(1, , ,

...

): 85.0

P(n, ,

...

): 818.0 P(

n2

, ,

...

): 853.0 P(

n4

, , ,

...

): 923.0

P(1, , ,

...

): 1315.0

P(n, ,

...

): 470.0 P(

n2

, ,

...

): 513.0 P(

n4

, , ,

...

): 596.0

P(1, , ,

...

): 954.0

san miguel

2

P(n, ,

...

): 99.0 P(

n2

, ,

...

): 99.0 P(

n4

, , ,

...

): 99.0

P(1, , ,

...

): 99.0

P(n, ,

...

): 66.0 P(

n2

, ,

...

): 66.0 P(

n4

, , ,

...

): 66.0

P(1, , ,

...

): 66.0

P(n, ,

...

): 1389.0 P(

n2

, ,

...

): 1393.0 P(

n4

, , ,

...

): 1393.0

P(1, , ,

...

): 1393.0

P(n, ,

...

): 868.0 P(

n2

, ,

...

): 873.0 P(

n4

, , ,

...

): 873.0

P(1, , ,

...

): 873.0

4

P(n, ,

...

): 99.0 P(

n2

, ,

...

): 99.0 P(

n4

, , ,

...

): 99.0

P(1, , ,

...

): 99.0

P(n, ,

...

): 66.0 P(

n2

, ,

...

): 66.0 P(

n4

, , ,

...

): 66.0

P(1, , ,

...

): 66.0

P(n, ,

...

): 1387.0 P(

n2

, ,

...

): 1391.0 P(

n4

, , ,

...

): 1399.0

P(1, , ,

...

): 1399.0

P(n, ,

...

): 866.0 P(

n2

, ,

...

): 872.0 P(

n4

, , ,

...

): 877.0

P(1, , ,

...

): 877.0

16

P(n, ,

...

): 99.0 P(

n2

, ,

...

): 99.0 P(

n4

, , ,

...

): 100.0

P(1, , ,

...

): 101.0

P(n, ,

...

): 66.0 P(

n2

, ,

...

): 66.0 P(

n4

, , ,

...

): 67.0

P(1, , ,

...

): 68.0

P(n, ,

...

): 1388.0 P(

n2

, ,

...

): 1392.0 P(

n4

, , ,

...

): 1400.0

P(1, , ,

...

): 1428.0

P(n, ,

...

): 867.0 P(

n2

, ,

...

): 872.0 P(

n4

, , ,

...

): 884.0

P(1, , ,

...

): 902.0

32

P(n, ,

...

): 99.0 P(

n2

, ,

...

): 99.0 P(

n4

, , ,

...

): 100.0

P(1, , ,

...

): 102.0

P(n, ,

...

): 66.0 P(

n2

, ,

...

): 66.0 P(

n4

, , ,

...

): 67.0

P(1, , ,

...

): 69.0

P(n, ,

...

): 1388.0 P(

n2

, ,

...

): 1392.0 P(

n4

, , ,

...

): 1400.0

P(1, , ,

...

): 1446.0

P(n, ,

...

): 867.0 P(

n2

, ,

...

): 872.0 P(

n4

, , ,

...

): 883.0

P(1, , ,

...

): 923.0

sponza 2

P(n, ,

...

): 131.0 P(

n2

, ,

...

): 132.0 P(

n4

, , ,

...

): 132.0

P(1, , ,

...

): 132.0

P(n, ,

...

): 85.0 P(

n2

, ,

...

): 85.0 P(

n4

, , ,

...

): 85.0

P(1, , ,

...

): 85.0

P(n, ,

...

): 1820.0 P(

n2

, ,

...

): 1826.0 P(

n4

, , ,

...

): 1826.0

P(1, , ,

...

): 1826.0

P(n, ,

...

): 1085.0 P(

n2

, ,

...

): 1093.0 P(

n4

, , ,

...

): 1093.0

P(1, , ,

...

): 1093.0

4

P(n, ,

...

): 131.0 P(

n2

, ,

...

): 131.0 P(

n4

, , ,

...

): 132.0

P(1, , ,

...

): 132.0

P(n, ,

...

): 85.0 P(

n2

, ,

...

): 85.0 P(

n4

, , ,

...

): 86.0

P(1, , ,

...

): 86.0

P(n, ,

...

): 1817.0 P(

n2

, ,

...

): 1824.0 P(

n4

, , ,

...

): 1836.0

P(1, , ,

...

): 1836.0

P(n, ,

...

): 1083.0 P(

n2

, ,

...

): 1091.0 P(

n4

, , ,

...

): 1099.0

P(1, , ,

...

): 1099.0

16

P(n, ,

...

): 131.0 P(

n2

, ,

...

): 131.0 P(

n4

, , ,

...

): 132.0

P(1, , ,

...

): 135.0

P(n, ,

...

): 84.0 P(

n2

, ,

...

): 85.0 P(

n4

, , ,

...

): 86.0

P(1, , ,

...

): 88.0

P(n, ,

...

): 1817.0 P(

n2

, ,

...

): 1823.0 P(

n4

, , ,

...

): 1835.0

P(1, , ,

...

): 1871.0

P(n, ,

...

): 1083.0 P(

n2

, ,

...

): 1092.0 P(

n4

, , ,

...

): 1108.0

P(1, , ,

...

): 1131.0

32

P(n, ,

...

): 131.0 P(

n2

, ,

...

): 131.0 P(

n4

, , ,

...

): 132.0

P(1, , ,

...

): 137.0

P(n, ,

...

): 84.0 P(

n2

, ,

...

): 85.0 P(

n4

, , ,

...

): 86.0

P(1, , ,

...

): 90.0

P(n, ,

...

): 1817.0 P(

n2

, ,

...

): 1823.0 P(

n4

, , ,

...

): 1836.0

P(1, , ,

...

): 1898.0

P(n, ,

...

): 1083.0 P(

n2

, ,

...

): 1092.0 P(

n4

, , ,

...

): 1109.0

P(1, , ,

...

): 1165.0

viking village unity

2

P(n, ,

...

): 39.0 P(

n2

, ,

...

): 39.0 P(

n4

, , ,

...

): 39.0

P(1, , ,

...

): 39.0

P(n, ,

...

): 25.0 P(

n2

, ,

...

): 25.0 P(

n4

, , ,

...

): 25.0

P(1, , ,

...

): 25.0

P(n, ,

...

): 346.0 P(

n2

, ,

...

): 349.0 P(

n4

, , ,

...

): 349.0

P(1, , ,

...

): 349.0

P(n, ,

...

): 199.0 P(

n2

, ,

...

): 203.0 P(

n4

, , ,

...

): 203.0

P(1, , ,

...

): 203.0

4

P(n, ,

...

): 39.0 P(

n2

, ,

...

): 39.0 P(

n4

, , ,

...

): 39.0

P(1, , ,

...

): 39.0

P(n, ,

...

): 25.0 P(

n2

, ,

...

): 25.0 P(

n4

, , ,

...

): 25.0

P(1, , ,

...

): 25.0

P(n, ,

...

): 340.0 P(

n2

, ,

...

): 343.0 P(

n4

, , ,

...

): 351.0

P(1, , ,

...

): 351.0

P(n, ,

...

): 195.0 P(

n2

, ,

...

): 200.0 P(

n4

, , ,

...

): 205.0

P(1, , ,

...

): 205.0

16

P(n, ,

...

): 39.0 P(

n2

, ,

...

): 40.0 P(

n4

, , ,

...

): 40.0

P(1, , ,

...

): 43.0

P(n, ,

...

): 25.0 P(

n2

, ,

...

): 26.0 P(

n4

, , ,

...

): 26.0

P(1, , ,

...

): 28.0

P(n, ,

...

): 339.0 P(

n2

, ,

...

): 343.0 P(

n4

, , ,

...

): 350.0

P(1, , ,

...

): 369.0

P(n, ,

...

): 195.0 P(

n2

, ,

...

): 199.0 P(

n4

, , ,

...

): 208.0

P(1, , ,

...

): 219.0

32

P(n, ,

...

): 39.0 P(

n2

, ,

...

): 40.0 P(

n4

, , ,

...

): 40.0

P(1, , ,

...

): 45.0

P(n, ,

...

): 25.0 P(

n2

, ,

...

): 26.0 P(

n4

, , ,

...

): 26.0

P(1, , ,

...

): 30.0

P(n, ,

...

): 339.0 P(

n2

, ,

...

): 343.0 P(

n4

, , ,

...

): 350.0

P(1, , ,

...

): 384.0

P(n, ,

...

): 195.0 P(

n2

, ,

...

): 200.0 P(

n4

, , ,

...

): 208.0

P(1, , ,

...

): 238.0

Table 1: Note: Only the first parameters per P(....) matter for the number of draw calls! I.e. differences are only w.r.t. P(1, ...), P( n 2 , ...), P( n 4 , ...) and P(n, ...).

Referanser

RELATERTE DOKUMENTER

jeg hadde under dagens møte uttrykt min store begeistring for noe (ugjæret) druesaft de hadde servert, for ikke å snakke om noen meget velsmakende pærer som de fortalte

International guidelines recommend a repeat transurethral resection of the bladder (reTURB), within 4-6 weeks after the primary TURB for stage T1 bladder cancer (BC), to increase

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor .incididunt ut labore et dolore magna aliqua Eksempler på bruk av profilfonten Museo

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor .incididunt ut labore et dolore magna aliqua Eksempler på bruk av profilfonten Museo

lexical material in original triggers dm and is retained Lorem ipsum dolor sit amet, consectetur adipiscing elit.. Ala bala drăn drăn alabala drăn drăn, DM bala drăn

Mauris porta, sem sit amet viverra rutrum, arcu leo conLarvik 0:35 Porsgrunn 0:55 TØNSBERG PROGRAM Skien 1:15 Lorem ipsum dolor sit amet, consectetur adipiscing elit.. In in

When developing the kindergarten teaching profession further it is there- fore important to develop a practice whereby we acknowledge the need to integrate additional learning

Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat. Ut wisi enim ad minim veniam, quis